在遥感大数据时代背景下,遥感云计算平台的出现改变了遥感数据处理和分析的传统模式,极大地提高了运算效率,使得全球尺度的快速分析成为可能。国内外已有众多学者利用遥感云计算平台开展研究,然而相对缺乏对遥感云计算平台发展和应用的...在遥感大数据时代背景下,遥感云计算平台的出现改变了遥感数据处理和分析的传统模式,极大地提高了运算效率,使得全球尺度的快速分析成为可能。国内外已有众多学者利用遥感云计算平台开展研究,然而相对缺乏对遥感云计算平台发展和应用的客观性综述。本文基于Web of Science(WoS)和中国知网CNKI(China National Knowledge Infrastructure)的文献数据,检索了2011-01—2021-04与遥感云计算平台相关的文献,借助文献计量方法对检索到的数据进行了发文量分析、合作分析、关键词共现分析以及文献共被引分析。结果表明:(1)国内外基于遥感云计算平台的应用研究均呈上升趋势,中国和美国是利用遥感云计算平台进行研究最活跃的国家,中国科学院是最活跃的机构;(2)相关学科交叉较为广泛,涉及遥感、环境科学与生态学、计算机科学、电子电力工程等领域,其中遥感学科是利用遥感云计算平台研究最多的领域,环境科学与生态学以及计算机科学与其他学科领域联系较密切;(3)目前谷歌地球引擎GEE(Google Earth Engine)是应用最为广泛的遥感云计算平台,此外亚马逊网络服务云(Amazon Web Services Cloud)、中科院先导地球大数据挖掘分析系统(EarthDataMiner)、PIE-Engine等平台也处于迅速发展阶段;(4)大范围的土地覆被制图、土地利用、植被变化、气候变化是遥感云平台的应用热点领域,而环境健康评估和人类活动对环境的影响研究也将成为遥感云平台未来的重要应用领域。本文研究结果定量展示了遥感云计算平台的发展历程、研究热点和应用情况,为相关研究人员把握领域发展动态并挖掘有价值的新研究方向提供了参考。展开更多
The estimation of oil spill coverage is an important part of monitoring of oil spills at sea.The spatial resolution of images collected by airborne hyper-spectral remote sensing limits both the detection of oil spills...The estimation of oil spill coverage is an important part of monitoring of oil spills at sea.The spatial resolution of images collected by airborne hyper-spectral remote sensing limits both the detection of oil spills and the accuracy of estimates of their size.We consider at-sea oil spills with zonal distribution in this paper and improve the traditional independent component analysis algorithm.For each independent component we added two constraint conditions:non-negativity and constant sum.We use priority weighting by higher-order statistics,and then the spectral angle match method to overcome the order nondeterminacy.By these steps,endmembers can be extracted and abundance quantified simultaneously.To examine the coverage of a real oil spill and correct our estimate,a simulation experiment and a real experiment were designed using the algorithm described above.The result indicated that,for the simulation data,the abundance estimation error is 2.52% and minimum root mean square error of the reconstructed image is 0.030 6.We estimated the oil spill rate and area based on eight hyper-spectral remote sensing images collected by an airborne survey of Shandong Changdao in 2011.The total oil spill area was 0.224 km^2,and the oil spill rate was 22.89%.The method we demonstrate in this paper can be used for the automatic monitoring of oil spill coverage rates.It also allows the accurate estimation of the oil spill area.展开更多
This paper seeks a synthesis of Bayesian and geostatistical approaches to combining categorical data in the context of remote sensing classification. By experiment with aerial photographs and Landsat TM data, accuracy...This paper seeks a synthesis of Bayesian and geostatistical approaches to combining categorical data in the context of remote sensing classification. By experiment with aerial photographs and Landsat TM data, accuracy of spectral, spatial, and combined classification results was evaluated. It was confirmed that the incorporation of spatial information in spectral classification increases accuracy significantly. Secondly, through test with a 5-class and a 3-class classification schemes, it was revealed that setting a proper semantic framework for classification is fundamental to any endeavors of categorical mapping and the most important factor affecting accuracy. Lastly, this paper promotes non-parametric methods for both definition of class membership profiling based on band-specific histograms of image intensities and derivation of spatial probability via indicator kriging, a non-parametric geostatistical technique.展开更多
The classical edge detectors work fine with the high quality pictures, but often are not good enough for noisy images because they cannot distinguish edges of different significance. The paper presented a novel approa...The classical edge detectors work fine with the high quality pictures, but often are not good enough for noisy images because they cannot distinguish edges of different significance. The paper presented a novel approach to multiscale edge detection for noisy images using wavelet transforms based on Lipschitz regularity coefficients and a cascade algorithm. The relationship between wavelet transform and Lipschitz regularity was established. The proposed wavelet based edge detection algorithm combined the coefficients of wavelet transforms along with a cascade algorithm which significantly improves the result. The comparison between the proposed method and the classical edge detectors was carried out. The algorithm was applied to various images and its performance was discussed. The results of edge detection of contaminated images using the proposed algorithm show that it works better than the classical edge detectors.展开更多
By interpreting the remote sensing data of aerial photos and satellite images in different time, combining with field investigation, landform and water level observation, collecting data of weather, hydrology in Chaoh...By interpreting the remote sensing data of aerial photos and satellite images in different time, combining with field investigation, landform and water level observation, collecting data of weather, hydrology in Chaohu Lake, Anhui Province from 1957 to 2003, the reasons for collapse of Chaohu lakeshore were analyzed. The results are as follows: 1) The collapse of the Chaohu lakeshore is controlled macroscopically by two sets of north-east and the north-west faults, and the degree of collapse is determined microcosmically by lithology. 2) The constant change of water level, resulting from precipitation, wind speed and its direction, is one of the main reasons for intermittence collapse. 3) The soil and water loss or mud and sand filling up, resulting from artificial factors, such as inconsequence control of Chaohu sluice or irrational agricultural and industrial activities, etc., can uplift the lake′s bed and drive water level up. The high water level also results in the collapse. Judging from the above mentioned reasons for the collapse, we have proposed some countermeasures: 1) Putting the lakeshore slope protection project such as stone and cement mortar into practice, and upstream slope should be 1∶2.5 or 1∶3, some parts of them should be 1∶4, if they were not stable. The back slope, which is from Gui Mountain to Zhongmiao Temple, should be 1∶1.5-1∶3. 2) Constructing a greenbelt for the lakeshore, planting some vegetation such as osier, bulrush and poplar, to resist waves between the high and the low water level. 3) Controlling Chaohu Lake water level scientifically. Corrosion of lakeshore that contains gravel clay and ferruginous-manganese concretionary structures, can decrease at low water level. 4) Renovating Chaohu Lake drainage area, strengthening the administration and supervision, breaking regionalism and establishing special administration organization.展开更多
文摘在遥感大数据时代背景下,遥感云计算平台的出现改变了遥感数据处理和分析的传统模式,极大地提高了运算效率,使得全球尺度的快速分析成为可能。国内外已有众多学者利用遥感云计算平台开展研究,然而相对缺乏对遥感云计算平台发展和应用的客观性综述。本文基于Web of Science(WoS)和中国知网CNKI(China National Knowledge Infrastructure)的文献数据,检索了2011-01—2021-04与遥感云计算平台相关的文献,借助文献计量方法对检索到的数据进行了发文量分析、合作分析、关键词共现分析以及文献共被引分析。结果表明:(1)国内外基于遥感云计算平台的应用研究均呈上升趋势,中国和美国是利用遥感云计算平台进行研究最活跃的国家,中国科学院是最活跃的机构;(2)相关学科交叉较为广泛,涉及遥感、环境科学与生态学、计算机科学、电子电力工程等领域,其中遥感学科是利用遥感云计算平台研究最多的领域,环境科学与生态学以及计算机科学与其他学科领域联系较密切;(3)目前谷歌地球引擎GEE(Google Earth Engine)是应用最为广泛的遥感云计算平台,此外亚马逊网络服务云(Amazon Web Services Cloud)、中科院先导地球大数据挖掘分析系统(EarthDataMiner)、PIE-Engine等平台也处于迅速发展阶段;(4)大范围的土地覆被制图、土地利用、植被变化、气候变化是遥感云平台的应用热点领域,而环境健康评估和人类活动对环境的影响研究也将成为遥感云平台未来的重要应用领域。本文研究结果定量展示了遥感云计算平台的发展历程、研究热点和应用情况,为相关研究人员把握领域发展动态并挖掘有价值的新研究方向提供了参考。
基金Supported by the National Scientific Research Fund of China(No.31201133)
文摘The estimation of oil spill coverage is an important part of monitoring of oil spills at sea.The spatial resolution of images collected by airborne hyper-spectral remote sensing limits both the detection of oil spills and the accuracy of estimates of their size.We consider at-sea oil spills with zonal distribution in this paper and improve the traditional independent component analysis algorithm.For each independent component we added two constraint conditions:non-negativity and constant sum.We use priority weighting by higher-order statistics,and then the spectral angle match method to overcome the order nondeterminacy.By these steps,endmembers can be extracted and abundance quantified simultaneously.To examine the coverage of a real oil spill and correct our estimate,a simulation experiment and a real experiment were designed using the algorithm described above.The result indicated that,for the simulation data,the abundance estimation error is 2.52% and minimum root mean square error of the reconstructed image is 0.030 6.We estimated the oil spill rate and area based on eight hyper-spectral remote sensing images collected by an airborne survey of Shandong Changdao in 2011.The total oil spill area was 0.224 km^2,and the oil spill rate was 22.89%.The method we demonstrate in this paper can be used for the automatic monitoring of oil spill coverage rates.It also allows the accurate estimation of the oil spill area.
文摘This paper seeks a synthesis of Bayesian and geostatistical approaches to combining categorical data in the context of remote sensing classification. By experiment with aerial photographs and Landsat TM data, accuracy of spectral, spatial, and combined classification results was evaluated. It was confirmed that the incorporation of spatial information in spectral classification increases accuracy significantly. Secondly, through test with a 5-class and a 3-class classification schemes, it was revealed that setting a proper semantic framework for classification is fundamental to any endeavors of categorical mapping and the most important factor affecting accuracy. Lastly, this paper promotes non-parametric methods for both definition of class membership profiling based on band-specific histograms of image intensities and derivation of spatial probability via indicator kriging, a non-parametric geostatistical technique.
文摘The classical edge detectors work fine with the high quality pictures, but often are not good enough for noisy images because they cannot distinguish edges of different significance. The paper presented a novel approach to multiscale edge detection for noisy images using wavelet transforms based on Lipschitz regularity coefficients and a cascade algorithm. The relationship between wavelet transform and Lipschitz regularity was established. The proposed wavelet based edge detection algorithm combined the coefficients of wavelet transforms along with a cascade algorithm which significantly improves the result. The comparison between the proposed method and the classical edge detectors was carried out. The algorithm was applied to various images and its performance was discussed. The results of edge detection of contaminated images using the proposed algorithm show that it works better than the classical edge detectors.
基金Under the auspices of Sciences Fund of Anhui Provincial Bureau of Education (No. 2004kj165 zd), High Edu-cation Teaching Research of Anhui Province (No. 2005021), the Natural Sciences Fund of Anhui Province, Key Subject of Physi-cal Geographyof Anhui Normal University
文摘By interpreting the remote sensing data of aerial photos and satellite images in different time, combining with field investigation, landform and water level observation, collecting data of weather, hydrology in Chaohu Lake, Anhui Province from 1957 to 2003, the reasons for collapse of Chaohu lakeshore were analyzed. The results are as follows: 1) The collapse of the Chaohu lakeshore is controlled macroscopically by two sets of north-east and the north-west faults, and the degree of collapse is determined microcosmically by lithology. 2) The constant change of water level, resulting from precipitation, wind speed and its direction, is one of the main reasons for intermittence collapse. 3) The soil and water loss or mud and sand filling up, resulting from artificial factors, such as inconsequence control of Chaohu sluice or irrational agricultural and industrial activities, etc., can uplift the lake′s bed and drive water level up. The high water level also results in the collapse. Judging from the above mentioned reasons for the collapse, we have proposed some countermeasures: 1) Putting the lakeshore slope protection project such as stone and cement mortar into practice, and upstream slope should be 1∶2.5 or 1∶3, some parts of them should be 1∶4, if they were not stable. The back slope, which is from Gui Mountain to Zhongmiao Temple, should be 1∶1.5-1∶3. 2) Constructing a greenbelt for the lakeshore, planting some vegetation such as osier, bulrush and poplar, to resist waves between the high and the low water level. 3) Controlling Chaohu Lake water level scientifically. Corrosion of lakeshore that contains gravel clay and ferruginous-manganese concretionary structures, can decrease at low water level. 4) Renovating Chaohu Lake drainage area, strengthening the administration and supervision, breaking regionalism and establishing special administration organization.
