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Delineation of groundwater potential zones using remote sensing and Geographic Information Systems(GIS)in Kadaladi region,Southern India
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作者 Stephen Pitchaimani V Narayanan MSS +2 位作者 Abishek RS Aswin SK Jerin Joe RJ 《Journal of Groundwater Science and Engineering》 2024年第2期147-160,共14页
The primary objective of this research is to delineate potential groundwater recharge zones in the Kadaladi taluk of Ramanathapuram,Tamil Nadu,India,using a combination of remote sensing and Geographic Information Sys... The primary objective of this research is to delineate potential groundwater recharge zones in the Kadaladi taluk of Ramanathapuram,Tamil Nadu,India,using a combination of remote sensing and Geographic Information Systems(GIS)with the Analytical Hierarchical Process(AHP).Various factors such as geology,geomorphology,soil,drainage,density,lineament density,slope,rainfall were analyzed at a specific scale.Thematic layers were evaluated for quality and relevance using Saaty's scale,and then inte-grated using the weighted linear combination technique.The weights assigned to each layer and features were standardized using AHP and the Eigen vector technique,resulting in the final groundwater potential zone map.The AHP method was used to normalize the scores following the assignment of weights to each criterion or factor based on Saaty's 9-point scale.Pair-wise matrix analysis was utilized to calculate the geometric mean and normalized weight for various parameters.The groundwater recharge potential zone map was created by mathematically overlaying the normalized weighted layers.Thematic layers indicating major elements influencing groundwater occurrence and recharge were derived from satellite images.2 Results indicate that approximately 21.8 km of the total area exhibits high potential for groundwater recharge.Groundwater recharge is viable in areas with moderate slopes,particularly in the central and southeastern regions. 展开更多
关键词 GROUNDWATER satellite image remote sensing GIS techniques Analytical Hierarchy Process(AHP)
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Quantifying River Bank Erosion and Accretion Patterns along the Gorai River in Kushtia, Bangladesh: A Geospatial Analysis Utilizing GIS and Remote Sensing Techniques
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作者 Chisti Muzahid Samsunnahar Popy +6 位作者 Rifat Islam Md. Shafiqul Ahsan Emon Md. Selim Reja Md. Mustafizur Rahman Jubayer Hoque Md. Golam Rabbani Saim Raiyan 《Journal of Geographic Information System》 2024年第1期70-88,共19页
River bank erosion is a natural process that occurs when the water flow of a river exceeds the bank’s ability to withstand it. It is a common phenomenon that causes extensive land damage, displacement of people, loss... River bank erosion is a natural process that occurs when the water flow of a river exceeds the bank’s ability to withstand it. It is a common phenomenon that causes extensive land damage, displacement of people, loss of crops, and infrastructure damage. The Gorai River, situated on the right bank of the Ganges, is a significant branch of the river that flows into the Bay of Bengal via the Mathumati and Baleswar rivers. The erosion of the banks of the Gorai River in Kushtia district is not a recent occurrence. Local residents have been dealing with this issue for the past hundred years, and according to the elderly members of the community, the erosion has become more severe activities. Therefore, the main objective of this research is to quantify river bank erosion and accretion and bankline shifting from 2003 to 2022 using multi-temporal Landsat images data with GIS and remote sensing technique. Bank-line migration occurs as a result of the interplay and interconnectedness of various factors such as the degree of river-related processes such as erosion, transportation, and deposition, the amount of water in the river during the high season, the geological and soil makeup, and human intervention in the river. The results show that the highest eroded area was 4.6 square kilometers during the period of 2016 to 2019, while the highest accreted area was 7.12 square kilometers during the period of 2013 to 2016. However, the erosion and accretion values fluctuated from year to year. 展开更多
关键词 Erosion and Accretion Geographic Information System (GIS) remote sensing satellite image Bankline Shifting
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SOME KEY ISSUES ON THE APPLICATION OF SATELLITE REMOTE SENSING TO MINING AREAS 被引量:1
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作者 DUPein-jun ZHOUXing-dong GUODa-zhi 《Chinese Geographical Science》 SCIE CSCD 2003年第1期79-83,共5页
In order to apply Satellite Remote Sensing (RS) to mining areas, some key issues should be solved. Based on an introduction to relative studying background, related key issues are proposed and analyzed oriented to the... In order to apply Satellite Remote Sensing (RS) to mining areas, some key issues should be solved. Based on an introduction to relative studying background, related key issues are proposed and analyzed oriented to the development of RS information science and demands of mining areas. Band selection and combination optimization of Landsat TM is discussed firstly, and it proved that the combination of Band 3, Band 4 and Band 5 has the largest information amount in all three-band combination schemes by both N-dimensional entropy method and Genetic Algorithm (GA). After that the filtering of Radarsat image is discussed. Different filtering methods are experimented and compared, and adaptive methods are more efficient than others. Finally the classification of satellite RS image is studied, and some new methods including classification by improved BPNN(Back Propagation Neural Network) and classification based on GIS and knowledge are proposed. 展开更多
关键词 satellite remote sensing mining areas band combination FILTERING image classification
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MAPPING OF OPHIOLITES IN THE INDUS-SUTURE ZONE OF NORTHWESTERN HIMALAYA, USING SATELLITE REMOTE SENSING DATA
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作者 K.V. Ravindran 1,G. Philip 2(1 Regional Remote Sensing Service Centre, Dept of Space, 4 Kalidas Road, Dehra Dun\|248001, India 2 Wadia Institute of Himalayan Geology, 33\|Gen. Mahadeo Singh Road, Dehra Dun\|248001,India) 《地学前缘》 EI CAS CSCD 2000年第S1期116-117,共2页
Ophiolites, which have been tectonically emplaced along continental margins and island arcs, are significant to the understanding of mountain belt evolution. In the Himalayas, the ophiolitic suite of rocks occur along... Ophiolites, which have been tectonically emplaced along continental margins and island arcs, are significant to the understanding of mountain belt evolution. In the Himalayas, the ophiolitic suite of rocks occur along the Indussuture zone from Hanle in the southeast to Dras\|Kargil sector in the northwest and it represents the remnant of the compressed uplifted wedge of the oceanic crust between the two colliding continental masses, the Indian and the Asian plates.. These ophiolites are temporally and spatially correlated with the culminating phase of the Himalayan orogeny. The Indus River flows to its north separating the ophiolite from the Trans Himalayan litho\|units. Geological mapping in the hostile and inaccessible mountainous terrains of the Himalaya has always posed a great challenge to geologists. Nevertheless, a number of geologists have undertaken such arduous mapping expeditions in the past and prepared fairly good geological maps of these terrains .However there always existed disputes on the accuracy of lithological boundaries and structural details in these maps because many of these boundaries and structural features were completed through extrapolations and/or interpolations as the ruggedness and inaccessibility of a large part of the terrain forbid physical examination of every outcrop. It is in this context the potential of remote sensing, especially of satellite images, is to be appreciated. 展开更多
关键词 SUTURE ZONE OPHIOLITE remote sensing satellite imagE imagE enhancement digital TERRAIN model
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A Review of Satellite Remote Sensing Monitoring Methods for Sea Surface Oil Spill
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作者 WANG Xinsheng WANG Chenxu +3 位作者 ZHAO Yinan LUO Qinghua LIU Zhiyong ZHU Zhiquan 《Aerospace China》 2018年第3期11-16,共6页
Using satellite remote sensing to monitor oil spill on the sea is an advanced means of oil spill monitoring, and it has the characteristics of wide coverage, speediness and real time, synchronization, continuity, and ... Using satellite remote sensing to monitor oil spill on the sea is an advanced means of oil spill monitoring, and it has the characteristics of wide coverage, speediness and real time, synchronization, continuity, and low cost. Hence, accelerating the research on this technology and establishing a satellite remote sensing monitoring mechanism suitable for oil spill emergency situations is of great significance to improve China's oil spill monitoring capability and prevent or reduce the pollution damage caused by oil spill in the marine environment.This paper analyzes and studies the current situation using satellite remote sensing to monitor oil spills at home and abroad. Based on the basic principle of satellite remote sensing, this paper systematically studies the satellite remote sensing monitoring oil spill principles, satellite data processing methods and oil spill information identification, and summarizes an oil spill identification system that can realize oil spill information reproduction. This system provides an important means of support for the handling of oil spill accidents. 展开更多
关键词 satellite remote sensing oil SPILL RADAR satellite SPECTRAL satellite image processing
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Fusing Satellite Images Using ABC Optimizing Algorithm
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作者 Nguyen Hai Minh Nguyen Tu Trung +1 位作者 Tran Thi Ngan Tran Manh Tuan 《Computer Systems Science & Engineering》 SCIE EI 2023年第9期3901-3909,共9页
Fusing satellite(remote sensing)images is an interesting topic in processing satellite images.The result image is achieved through fusing information from spectral and panchromatic images for sharpening.In this paper,... Fusing satellite(remote sensing)images is an interesting topic in processing satellite images.The result image is achieved through fusing information from spectral and panchromatic images for sharpening.In this paper,a new algorithm based on based the Artificial bee colony(ABC)algorithm with peak signalto-noise ratio(PSNR)index optimization is proposed to fusing remote sensing images in this paper.Firstly,Wavelet transform is used to split the input images into components over the high and low frequency domains.Then,two fusing rules are used for obtaining the fused images.The first rule is“the high frequency components are fused by using the average values”.The second rule is“the low frequency components are fused by using the combining rule with parameter”.The parameter for fusing the low frequency components is defined by using ABC algorithm,an algorithm based on PSNR index optimization.The experimental results on different input images show that the proposed algorithm is better than some recent methods. 展开更多
关键词 remote sensing image satellite images image fusion WAVELET PSNR optimization ABC
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Study of the propagation direction of the internal waves in the South China Sea using satellite images 被引量:23
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作者 WANG Juan HUANG Weigen +2 位作者 YANG Jingsong ZHANG Huaguo ZHENG Gang 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2013年第5期42-50,共9页
Internal wave propagation carries considerable vertical shear which can lead to turbulence and mixing. Based on the analysis of more than 2 500 synthetic aperture radar (SAR) and optical satellite images, the in- te... Internal wave propagation carries considerable vertical shear which can lead to turbulence and mixing. Based on the analysis of more than 2 500 synthetic aperture radar (SAR) and optical satellite images, the in- ternal wave propagation in the whole South China Sea was investigated systematically. The results show that (1) in the northeastern South China Sea, most internal waves propagate westward from the Luzon Strait and are diffracted by coral reefs near the Dongsha Islands. Some impinge onto the shelf and a few are reflected; (2) in the northwestern South China Sea, most internal waves are generated at the shelf and propagate northwestward or westward to the coast; (3) in the western South China Sea, most internal waves propagate westward to the Vietnamese coast, except a few propagate southward to the deep sea; and (4) in the southern South China Sea, most internal waves propagate southwestward to the coast. Some prop- agate southeastward to the coast of Kalimantan Island, and a few propagate southeastward because of the influence of the Mekon~ River. 展开更多
关键词 remote sensing internal wave propagation South China Sea satellite images
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Estimating Rice Yield by HJ-1A Satellite Images 被引量:7
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作者 LI Wei-guo LI Hua ZHAO Li-hua 《Rice science》 SCIE 2011年第2期142-147,共6页
As illustrated by the case of Xuyi County, Jinhu County and Hongze County in Jiangsu Province, China, monitoring and forecasting of rice production were carried out by using HJ-1A satellite remote sensing images. The ... As illustrated by the case of Xuyi County, Jinhu County and Hongze County in Jiangsu Province, China, monitoring and forecasting of rice production were carried out by using HJ-1A satellite remote sensing images. The handhold GPS machines were used to measure the geographical position and some other information of these samples such as area shape. The GPS data and the interpretation marks were used to correct H J-1 image, assist human-computer interactive interpretation, and other operations. The test data had been participated in the whole classification process. The accuracy of interpreted information on rice planting area was more than 90% By using the leaf area index from the normalized difference vegetation index inversion, the biomass from the ratio vegetation index inversion, and combined with the rice yield estimation model, the rice yield was estimated. Further, the thematic map of rice production classification was made based on the rice yield data. According to the comparison results between measured and fitted values of yields and areas of sampling sites, the accuracy of the yield estimation was more than 85%. The results suggest that HJ-A/B images could basically meet the demand of rice growth monitoring and yield forecasting, and could be widely applied to rice production monitoring. 展开更多
关键词 RICE YIELD satellite remote sensing image estimation model
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Land-Cover Classification and its Impact on Peshawar’s Land Surface Temperature Using Remote Sensing 被引量:4
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作者 Shahab Ul Islam Saifullah Jan +3 位作者 Abdul Waheed Gulzar Mehmood Mahdi Zareei Faisal Alanazi 《Computers, Materials & Continua》 SCIE EI 2022年第2期4123-4145,共23页
Spatial and temporal informationon urban infrastructure is essential and requires various land-cover/land-use planning and management applications.Besides,a change in infrastructure has a direct impact on other land-c... Spatial and temporal informationon urban infrastructure is essential and requires various land-cover/land-use planning and management applications.Besides,a change in infrastructure has a direct impact on other land-cover and climatic conditions.This study assessed changes in the rate and spatial distribution of Peshawar district’s infrastructure and its effects on Land Surface Temperature(LST)during the years 1996 and 2019.For this purpose,firstly,satellite images of bands7 and 8 ETM+(Enhanced Thematic Mapper)plus and OLI(Operational Land Imager)of 30 m resolution were taken.Secondly,for classification and image processing,remote sensing(RS)applications ENVI(Environment for Visualising Images)and GIS(Geographic Information System)were used.Thirdly,for better visualization and more in-depth analysis of land sat images,pre-processing techniques were employed.For Land use and Land cover(LU/LC)four types of land cover areas were identified-vegetation area,water cover,urbanized area,and infertile land for the years under research.The composition of red,green,and near infra-red bands was used for supervised classification.Classified images were extracted for analyzing the relative infrastructure change.A comparative analysis for the classification of images is performed for SVM(Support Vector Machine)and ANN(Artificial Neural Network).Based on analyzing these images,the result shows the rise in the average temperature from 30.04℃ to 45.25℃.This only possible reason is the increase in the built-up area from 78.73 to 332.78 Area km^(2) from 1996 to 2019.It has also been witnessed that the city’s sides are hotter than the city’s center due to the barren land on the borders. 展开更多
关键词 remote sensing temperature extraction URBANIZATION satellite image classification artificial neural network support vector machine LU/LC land surface temperature
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Application Advantages of Staring Area Imaging Technology(SAIT) for Microsatellites 被引量:2
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作者 ZHONG Xing BAO Songze 《Aerospace China》 2019年第1期28-39,共12页
The Staring Area Imaging Technology(SAIT) satellite continuously "images" the target over a certain time range, and can realize continuous imaging and multi-angle imaging of the area of interest. It has the ... The Staring Area Imaging Technology(SAIT) satellite continuously "images" the target over a certain time range, and can realize continuous imaging and multi-angle imaging of the area of interest. It has the characteristics of flexible imaging parameter setting and fast image preprocessing speed, enabling dynamic target detection and tracking, super-resolution, surface 3 D model construction, night-time imaging and many other application tasks. Based on the technical characteristics of the SAIT satellite, this paper analyzes the challenges in satellite development and data processing, focuses on the quasi-realtime application of SAIT satellite data, and looks at the development trend of the SAIT satellite. 展开更多
关键词 Staring Area imagING Technology(SAIT) Jilin-1 VIDEO satellite remote sensing APPLICATION
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Towards an Intelligent Predictive Model for Analyzing Spatio-Temporal Satellite Image Based on Hidden Markov Chain
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作者 Houcine Essid Imed Riadh Farah Vincent Barra 《Advances in Remote Sensing》 2013年第3期247-257,共11页
Nowadays remote sensing is an important technique for observing Earth surface applied to different areas such as, land use, urban planning, remote monitoring, real time deformation of the soil that can be associated w... Nowadays remote sensing is an important technique for observing Earth surface applied to different areas such as, land use, urban planning, remote monitoring, real time deformation of the soil that can be associated with earthquakes or landslides, the variations in thickness of the glaciers, the measurement of volume changes in the case of volcanic eruptions, deforestation, etc. To follow the evolution of these phenomena and to predict their future states, many approaches have been proposed. However, these approaches do not respond completely to the specialists who process yet more commonly the data extracted from the images in their studies to predict the future. In this paper, we propose an innovative methodology based on hidden Markov models (HMM). Our approach exploits temporal series of satellite images in order to predict spatio-temporal phenomena. It uses HMM for representing and making prediction concerning any objects in a satellite image. The first step builds a set of feature vectors gathering the available information. The next step uses a Baum-Welch learning algorithm on these vectors for detecting state changes. Finally, the system interprets these changes to make predictions. The performance of our approach is evaluated by tests of space-time interpretation of events conducted over two study sites, using different time series of SPOT images and application to the change in vegetation with LANDSAT images. 展开更多
关键词 satellite imagE remote sensing Hidden MARKOV Model Change Detection imagE Processing
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Classifications of Satellite Imagery for Identifying Urban Area Structures
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作者 Abdlhamed Jamil Abdulmohsen Al-Shareef Amer Al-Thubaiti 《Advances in Remote Sensing》 2020年第1期12-32,共21页
This study compares three types of classifications of satellite data to identify the most suitable for making city maps in a semi-arid region. The source of our data was GeoEye 1 satellite. To classify this data, two ... This study compares three types of classifications of satellite data to identify the most suitable for making city maps in a semi-arid region. The source of our data was GeoEye 1 satellite. To classify this data, two pro-grammes were used: an Object-Based Classification and a Pixel-Based Classification. The second classification programme was further subdi-vided into two groups. The first group included classes (buildings, streets, vacant land, vegetations) which were treated simultaneously and on a single image basis. The second, however, was where each class was identified individually, and the results of each class produced a single image and were later enhanced. The classification results were then as-sessed and compared before and after enhancement using visual then automatic assessment. The results of the evaluation showed that the pix-el-based individual classification of each class was rated the highest after enhancement, increasing the Overall Classification Accuracy by 2%, from 89% to 91.00%. The results of this classification type were adopted for mapping Jeddah’s buildings, roads, and vegetations. 展开更多
关键词 remote sensing satellite imagERY image Processing Classification Assessment URBAN
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Ship detection and classification from optical remote sensing images: A survey 被引量:9
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作者 Bo LI Xiaoyang XIE +1 位作者 Xingxing WEI Wenting TANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2021年第3期145-163,共19页
Considering the important applications in the military and the civilian domain, ship detection and classification based on optical remote sensing images raise considerable attention in the sea surface remote sensing f... Considering the important applications in the military and the civilian domain, ship detection and classification based on optical remote sensing images raise considerable attention in the sea surface remote sensing filed. This article collects the methods of ship detection and classification for practically testing in optical remote sensing images, and provides their corresponding feature extraction strategies and statistical data. Basic feature extraction strategies and algorithms are analyzed associated with their performance and application in ship detection and classification.Furthermore, publicly available datasets that can be applied as the benchmarks to verify the effectiveness and the objectiveness of ship detection and classification methods are summarized in this paper. Based on the analysis, the remaining problems and future development trends are provided for ship detection and classification methods based on optical remote sensing images. 展开更多
关键词 Optical remote sensing satellite image Sea target detection Ship classification Ship detection
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Surveillance of pine wilt disease by high resolution satellite 被引量:2
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作者 Hongwei Zhou Xinpei Yuan +5 位作者 Huanyu Zhou Hengyu Shen Lin Ma Liping Sun Guofei Fang Hong Sun 《Journal of Forestry Research》 SCIE CAS CSCD 2022年第4期1401-1408,共8页
Pine wilt disease caused by the pinewood nematode Bursaphelenchus xylophilus has led to the death of a large number of pine trees in China.This destructive disease has the characteristics of bring wide-spread,fast ons... Pine wilt disease caused by the pinewood nematode Bursaphelenchus xylophilus has led to the death of a large number of pine trees in China.This destructive disease has the characteristics of bring wide-spread,fast onset,and long incubation time.Most importantly,in China,the fatality rate in pines is as high as 100%.The key to reducing this mortality is how to quickly find the infected trees.We proposed a method of automatically identifying infected trees by a convolution neural network and bounding box tool.This method rapidly locates the infected area by classifying and recognizing remote sensing images obtained by high resolution earth observation Satellite.The recognition accuracy of the test data set was 99.4%,and the remote sensing image combined with convolution neural network algorithm can identify and determine the distribution of the infected trees.It can provide strong technical support for the prevention and control of pine wilt disease. 展开更多
关键词 Pine wilt disease satellite remote sensing image Pest identification Convolution neural network
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FY-4 Meteorological Satellite 被引量:1
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作者 DONG Yaohai CHEN Xiaojie +4 位作者 CHEN Qiang LYU Wang SHEN Junfeng CHE Lamei JIANG Feng 《Aerospace China》 2017年第2期31-39,共9页
FY-4 is the second generation of Chinese geostationary satellite for quantitative remote sensing meteorological application. The detection efficiency, spectral bands, spatial and time resolution have been greatly impr... FY-4 is the second generation of Chinese geostationary satellite for quantitative remote sensing meteorological application. The detection efficiency, spectral bands, spatial and time resolution have been greatly improved with respect to those of first generation, as well as the radiometric calibration and sensitivity. The combination of multichannel detection and vertical sounding was first realized on FY-4, because both the Advanced Geostationary Radiation Imager(AGRI) and Geostationary Interferometric Infrared Sounder(GIIRS) are on the same spacecraft. The main performance of the payloads including AGRI, GIIRS and Lightning Mapping Imager, and the spacecraft bus are presented, the performance being equivalent to the level of the third generation meteorological satellites in Europe and USA. The acquiring methods of remote sensing data including multichannel and high precision quantitative observing, imaging collection of the ground and cloud, vertical observation of atmospheric temperature and moisture, lightning imaging observation and space environment detection are shown. Several innovative technologies including high accuracy rotation angle detection and scanning control, high precision calibration, micro vibration suppression, unified reference of platform and payload and on-orbit measurement, real-time image navigation and registration on-orbit were applied in FY-4. 展开更多
关键词 FY-4 GEO meteorological satellite three-axis stabilization quantitative remote sensing vertical highspectrum sounding real-time on-board image navigation and registration
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Railway Transport Infrastructure Monitoring by UAVs and Satellites
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作者 Sergey I. Ivashov Alexander B. Tataraidze +1 位作者 Vladimir V. Razevig Eugenia S. Smirnova 《Journal of Transportation Technologies》 2019年第3期342-353,共12页
Improving the rail transport security requires development and implementation of neoteric monitoring and control facilities in conditions of increasing speed and intensity of the train movement and high level of terro... Improving the rail transport security requires development and implementation of neoteric monitoring and control facilities in conditions of increasing speed and intensity of the train movement and high level of terrorist threat. Use of Earth remote sensing (ERS), permitting to obtain information from large areas with a sufficiently high resolution, can provide significant assistance in solving the mentioned problems. This paper discusses the possibility of using various means of remote sensing such as satellites and unmanned aerial vehicles (UAV), also known as drones, for receiving information in different ranges of the electromagnetic spectrum. The paper states that joint using of both these means gives new possibilities in improving railroad security. 展开更多
关键词 Transport INFRASTRUCTURE MONITORING remote sensing satellite Unmanned AERIAL Vehicle (UAV) AERIAL PHOTOGRAPHY Radar sensing 3D image Processing
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基于中低分辨率卫星影像中舰船目标识别方法
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作者 洪俊 刘星璇 董航 《计算机仿真》 2024年第4期13-19,155,共8页
目前,中低分辨率成像侦察卫星已经成为远距离情报保障的重要手段之一。然而,中低分辨率成像侦察卫星对海上机动舰船的侦察存在目标检测、识别难等问题,大大影响了情报使用效益。针对上述问题,提出基于霍夫变换的舰船开尔文尾迹提取方法... 目前,中低分辨率成像侦察卫星已经成为远距离情报保障的重要手段之一。然而,中低分辨率成像侦察卫星对海上机动舰船的侦察存在目标检测、识别难等问题,大大影响了情报使用效益。针对上述问题,提出基于霍夫变换的舰船开尔文尾迹提取方法,用于匹配并识别舰船型号。通过仿真得出不同型号舰船的开尔文尾迹尖头波平均距离,可以有效的识别出真实遥感影像中舰船属性,与实际影像数据对比分析,证明上述算法具有一定可行性。因此,基于霍夫变换的舰船开尔文尾迹提取方法可以在一定条件下基本实现目标舰船型号的识别,提升中低分辨率成像侦察卫星对海上机动舰船目标的识别准确率。 展开更多
关键词 中低分辨率卫星 遥感影像 开尔文尾迹 霍夫变换
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结合注意力机制的卫星遥感影像立体匹配 被引量:1
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作者 张泽瑞 范大昭 +3 位作者 纪松 董杨 李东子 刘杰 《时空信息学报》 2024年第1期41-49,共9页
采用立体匹配技术对多视卫星遥感影像进行三维场景重建一直是摄影测量与遥感领域的核心问题。基于卷积神经网络的深度学习方法极大地促进了立体匹配技术的发展,然而其中涉及匹配困难和误匹配问题的相关研究仍然不足。为了提升卫星遥感... 采用立体匹配技术对多视卫星遥感影像进行三维场景重建一直是摄影测量与遥感领域的核心问题。基于卷积神经网络的深度学习方法极大地促进了立体匹配技术的发展,然而其中涉及匹配困难和误匹配问题的相关研究仍然不足。为了提升卫星遥感影像不适定区域中视差估计的精度,本研究提出了一种结合注意力机制的立体匹配深度学习网络,在特征提取模块中加入注意力机制,分别从通道和空间两个维度捕获全局信息,对特征进行优化;在代价体的构建模块中构建新的代价体积,并重新设置视差的回归范围。为了验证本文方法的有效性,在US3D、WHU-Stereo两个数据集上分别与已有方法Stereo-Net、PSM-Net进行了比较分析。结果表明,本文方法在EPE(endpointerror)和D_1两个指标上均能达到最优,取得了较好的性能,提高了立体匹配的精度,尤其在无纹理、重复纹理、遮挡及视差不连续区域表现出良好的鲁棒性。 展开更多
关键词 立体匹配 卷积神经网络 卫星遥感影像 注意力机制 深度学习 视差估计
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遥感卫星在侧视和偏航导引模式下太阳帆板光照角变化分析 被引量:1
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作者 白勇 姜婷婷 +2 位作者 李瑞琴 康永鹏 仲兆宇 《现代电子技术》 北大核心 2024年第7期145-149,共5页
遥感卫星通常工作在太阳同步轨道,姿态控制较为复杂。卫星可采用姿态侧视来扩大成像载荷探测范围,并通过姿态偏航导引来消除或补偿成像畸变。上面两种模式的姿态机动对太阳帆板光照角产生了较大影响,使得卫星一年当中不同时段太阳电池... 遥感卫星通常工作在太阳同步轨道,姿态控制较为复杂。卫星可采用姿态侧视来扩大成像载荷探测范围,并通过姿态偏航导引来消除或补偿成像畸变。上面两种模式的姿态机动对太阳帆板光照角产生了较大影响,使得卫星一年当中不同时段太阳电池阵光照角差异很大,这对卫星电源系统设计有很大影响。文中通过分解卫星姿态和帆板安装位置影响因素,分析二者的影响,并利用坐标矩阵转换将光线矢量和帆板法线映射到同一坐标系下进行解算,从而得到光照角关系式。经过仿真验证该计算方法对光照角分析的有效性。 展开更多
关键词 遥感卫星 光照角 侧视 偏航导引 成像畸变 太阳帆板光照角
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基于多时相Sentinel-2卫星影像的冬小麦面积提取
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作者 陈雨琪 席瑞 +6 位作者 陈佳麒 章健 高国军 刘海威 盛莉 王福民 刘占宇 《杭州师范大学学报(自然科学版)》 CAS 2024年第2期209-216,共8页
及时准确地提取冬小麦种植信息,对开展冬小麦农情遥感监测具有重要的意义.以杭州市余杭区冬小麦越冬期(2021-12-04)、扬花期(2022-04-08)和乳熟期(2022-05-03)Sentinel-2遥感影像为数据源,分别采用最大似然法、支持向量机、归一化差值... 及时准确地提取冬小麦种植信息,对开展冬小麦农情遥感监测具有重要的意义.以杭州市余杭区冬小麦越冬期(2021-12-04)、扬花期(2022-04-08)和乳熟期(2022-05-03)Sentinel-2遥感影像为数据源,分别采用最大似然法、支持向量机、归一化差值植被指数(normalized difference vegetation index,NDVI)相加和相减合成运算提取冬小麦种植面积.结合冬小麦地面调查数据与实测种植面积,对不同方法的提取结果进行精度评价.结果显示,利用越冬期影像NDVI阈值将常绿植被区(茶园、林地)掩膜处理,对非常绿植被区(建筑、水体、冬小麦)扬花期与乳熟期影像NDVI值进行和值运算,是提取余杭区冬小麦种植面积的最佳方法,面积精度为91.96%,说明基于多时相遥感影像结合植被物候特征与典型地物类型,能够实现冬小麦种植面积的高精度提取. 展开更多
关键词 冬小麦 Sentinel-2卫星 多时相遥感影像 植被分类 种植面积提取
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