The integration of optical images and elevation data is of great importance for 3D-assisted mapping applications. Very high resolution (VHR) satellite images provide ideal geo-data for mapping building information. Si...The integration of optical images and elevation data is of great importance for 3D-assisted mapping applications. Very high resolution (VHR) satellite images provide ideal geo-data for mapping building information. Since buildings are inherently elevated objects, these images need to be co-registered with their elevation data for reliable building detection results. However, accurate co-registration is extremely difficult for off-nadir VHR images acquired over dense urban areas. Therefore, this research proposes a Disparity-Based Elevation Co-Registration (DECR) method for generating a Line-of-Sight Digital Surface Model (LoS-DSM) to efficiently achieve image-elevation data co-registration with pixel-level accuracy. Relative to the traditional photogrammetric approach, the RMSE value of the derived elevations is found to be less than 2 pixels. The applicability of the DECR method is demonstrated through elevation-based building detection (EBD) in a challenging dense urban area. The quality of the detection result is found to be more than 90%. Additionally, the detected objects were geo-referenced successfully to their correct ground locations to allow direct integration with other maps. In comparison to the original LoS-DSM development algorithm, the DECR algorithm is more efficient by reducing the calculation steps, preserving the co-registration accuracy, and minimizing the need for elevation normalization in dense urban areas.展开更多
Building detection in very high resolution (VHR) remote sensing images is crucial for many urban planning and management applications. Since buildings are elevated objects, the incorporation of elevation data provides...Building detection in very high resolution (VHR) remote sensing images is crucial for many urban planning and management applications. Since buildings are elevated objects, the incorporation of elevation data provides a mean to reliable detection. However, almost all existing methods of elevation-based building detection must first generate a normalized Digital Surface Model (nDSM). This model is generated by processes of extracting and subtracting terrain elevations from the DSM data. The generation of accurate nDSM is still a challenging task to some extent. This paper introduces a segment-based terrain filtering (SegTF) technique to filter out the terrain elevations directly using DSM elevations. This technique has four steps: elevation co-registration, image segmentation, slope calculation, and building detection. These steps of the developed technique were applied to a dataset that consisted of a VHR image and a corresponding DSM for detecting buildings. The result of the building detection was evaluated and found to be 100% correct with an overall detection quality of 93%. These values indicate a highly reliable and promising technique for mapping buildings in VHR images.展开更多
The paper discusses the potential of very high resolution(VHR)satellite imagery for post-earthquake damage assessment in comparison with the role of aerial photographs.Post-disaster optical and radar satellite data ar...The paper discusses the potential of very high resolution(VHR)satellite imagery for post-earthquake damage assessment in comparison with the role of aerial photographs.Post-disaster optical and radar satellite data are assessed for their ability to resolve collapsed buildings,destroyed transportation infrastructure,and specific land cover changes.Optical VHR imagery has shown to be effective in quantifying building stock and for assessing damage at the building level.Highresolution synthetic aperture radar(SAR)imagery requires further research to identify optimum information extraction procedures for rapid assessment of affected buildings.Based on current technical and operational capabilities increasing efforts should be devoted to the generation of spatial datasets for disaster preparedness.展开更多
This study mainly focuses on revealing an ancient water landscape at the Longcheng site in the northern Chaohu Lake Basin using very highresolution(VHR)GeoEye-1 imagery.First,prior to classification,the GeoEye-1 image...This study mainly focuses on revealing an ancient water landscape at the Longcheng site in the northern Chaohu Lake Basin using very highresolution(VHR)GeoEye-1 imagery.First,prior to classification,the GeoEye-1 image was processed following atmospheric and geometric correction.The supervised classification was carried out in order to show the land-cover situation in the Longcheng area.The overall classification accuracy was 89.98%,with a kappa coefficient of 0.87.The moat system around the city walls was discovered by using rule-based objectoriented segmentation of the postclassified image,and the other walls of ancient Longcheng were manually identified from the pansharpened VHR GeoEye-1 image.Finally,a map of the ancient water landscape containing the ancient city,wall and moat at the Longcheng site was produced.This paper demonstrates that VHR remote sensing has the ability to uncover an ancient water landscape and provide new insights for archaeological and paleoenvironmental studies.展开更多
Post-disaster very high resolution（VHR） satellite data are potential sources to provide detailed information on damage and geological changes for a large area in a short time.In this paper,we studied landslides trig...Post-disaster very high resolution（VHR） satellite data are potential sources to provide detailed information on damage and geological changes for a large area in a short time.In this paper,we studied landslides triggered by the M_w 6.9 earthquake in Sikkim,India which occurred on 18 September 2011 using VHR data from Cartosat-1,GeoEye-1,QuickBird-2 and WorldView-2 satellites.Since the earthquake-affected area is located in mostly inaccessible Himalayan terrain,VHR data from these satellites provided a unique opportunity for quick and synoptic assessment of the damage.Using visual change analysis technique through comparison of pre- and post-earthquake images,we assessed the damage caused by the event.A total of 123 images acquired from eight satellites,covering an area of4105 km2 were analysed and 1196 new landslides triggered by the earthquake were mapped.Road blockages and severely affected villages were also identified.Geological assessment of the terrain highlighted linear disposition of landslides along existing fault scarps,suggesting a reactivation of fault.The landslide inventory map prepared from VHR images also showed a good correlation with the earthquake shake map.Results showed that several parts of north Sikkim,particularly Mangan and Chungthang,which are close to the epicentre,were severely affected by the earthquake,and that the event-based landslide inventory map can be used in future earthquake-triggered landslide susceptibility assessment studies.展开更多
Acetylation and benzoylation reactions of certain aromatic aldehydes, ketones with Vilsmeier-Haack Re- agents using Acetamide and Oxychloride (SOCl2 or POCl3) under conventional (thermal) and non conven- tional [micro...Acetylation and benzoylation reactions of certain aromatic aldehydes, ketones with Vilsmeier-Haack Re- agents using Acetamide and Oxychloride (SOCl2 or POCl3) under conventional (thermal) and non conven- tional [microwave irradiated (MIR), ultrasonic assisted and solvent free mortar pestle (grinding)] conditions. Reactions afforded good to excellent yields of products with both the VH reagents, reaction times were fairly less in the case of [amide/POCl3] than those of [amide/SOCl2] reagent. Reactions are dramatically acceler- ated in under sonicated and microwave irradiations with a trend: MIR (few seconds) >> Sonication (minutes) > Grinding (min) >> thermal (several hrs).展开更多
文摘The integration of optical images and elevation data is of great importance for 3D-assisted mapping applications. Very high resolution (VHR) satellite images provide ideal geo-data for mapping building information. Since buildings are inherently elevated objects, these images need to be co-registered with their elevation data for reliable building detection results. However, accurate co-registration is extremely difficult for off-nadir VHR images acquired over dense urban areas. Therefore, this research proposes a Disparity-Based Elevation Co-Registration (DECR) method for generating a Line-of-Sight Digital Surface Model (LoS-DSM) to efficiently achieve image-elevation data co-registration with pixel-level accuracy. Relative to the traditional photogrammetric approach, the RMSE value of the derived elevations is found to be less than 2 pixels. The applicability of the DECR method is demonstrated through elevation-based building detection (EBD) in a challenging dense urban area. The quality of the detection result is found to be more than 90%. Additionally, the detected objects were geo-referenced successfully to their correct ground locations to allow direct integration with other maps. In comparison to the original LoS-DSM development algorithm, the DECR algorithm is more efficient by reducing the calculation steps, preserving the co-registration accuracy, and minimizing the need for elevation normalization in dense urban areas.
文摘Building detection in very high resolution (VHR) remote sensing images is crucial for many urban planning and management applications. Since buildings are elevated objects, the incorporation of elevation data provides a mean to reliable detection. However, almost all existing methods of elevation-based building detection must first generate a normalized Digital Surface Model (nDSM). This model is generated by processes of extracting and subtracting terrain elevations from the DSM data. The generation of accurate nDSM is still a challenging task to some extent. This paper introduces a segment-based terrain filtering (SegTF) technique to filter out the terrain elevations directly using DSM elevations. This technique has four steps: elevation co-registration, image segmentation, slope calculation, and building detection. These steps of the developed technique were applied to a dataset that consisted of a VHR image and a corresponding DSM for detecting buildings. The result of the building detection was evaluated and found to be 100% correct with an overall detection quality of 93%. These values indicate a highly reliable and promising technique for mapping buildings in VHR images.
文摘The paper discusses the potential of very high resolution(VHR)satellite imagery for post-earthquake damage assessment in comparison with the role of aerial photographs.Post-disaster optical and radar satellite data are assessed for their ability to resolve collapsed buildings,destroyed transportation infrastructure,and specific land cover changes.Optical VHR imagery has shown to be effective in quantifying building stock and for assessing damage at the building level.Highresolution synthetic aperture radar(SAR)imagery requires further research to identify optimum information extraction procedures for rapid assessment of affected buildings.Based on current technical and operational capabilities increasing efforts should be devoted to the generation of spatial datasets for disaster preparedness.
基金supported by funding from National Natural Science Foundation of China[grant number 41271427].
文摘This study mainly focuses on revealing an ancient water landscape at the Longcheng site in the northern Chaohu Lake Basin using very highresolution(VHR)GeoEye-1 imagery.First,prior to classification,the GeoEye-1 image was processed following atmospheric and geometric correction.The supervised classification was carried out in order to show the land-cover situation in the Longcheng area.The overall classification accuracy was 89.98%,with a kappa coefficient of 0.87.The moat system around the city walls was discovered by using rule-based objectoriented segmentation of the postclassified image,and the other walls of ancient Longcheng were manually identified from the pansharpened VHR GeoEye-1 image.Finally,a map of the ancient water landscape containing the ancient city,wall and moat at the Longcheng site was produced.This paper demonstrates that VHR remote sensing has the ability to uncover an ancient water landscape and provide new insights for archaeological and paleoenvironmental studies.
基金support work carried out under the Decision Support Centre(DSC) activities of NRSC
文摘Post-disaster very high resolution（VHR） satellite data are potential sources to provide detailed information on damage and geological changes for a large area in a short time.In this paper,we studied landslides triggered by the M_w 6.9 earthquake in Sikkim,India which occurred on 18 September 2011 using VHR data from Cartosat-1,GeoEye-1,QuickBird-2 and WorldView-2 satellites.Since the earthquake-affected area is located in mostly inaccessible Himalayan terrain,VHR data from these satellites provided a unique opportunity for quick and synoptic assessment of the damage.Using visual change analysis technique through comparison of pre- and post-earthquake images,we assessed the damage caused by the event.A total of 123 images acquired from eight satellites,covering an area of4105 km2 were analysed and 1196 new landslides triggered by the earthquake were mapped.Road blockages and severely affected villages were also identified.Geological assessment of the terrain highlighted linear disposition of landslides along existing fault scarps,suggesting a reactivation of fault.The landslide inventory map prepared from VHR images also showed a good correlation with the earthquake shake map.Results showed that several parts of north Sikkim,particularly Mangan and Chungthang,which are close to the epicentre,were severely affected by the earthquake,and that the event-based landslide inventory map can be used in future earthquake-triggered landslide susceptibility assessment studies.
文摘Acetylation and benzoylation reactions of certain aromatic aldehydes, ketones with Vilsmeier-Haack Re- agents using Acetamide and Oxychloride (SOCl2 or POCl3) under conventional (thermal) and non conven- tional [microwave irradiated (MIR), ultrasonic assisted and solvent free mortar pestle (grinding)] conditions. Reactions afforded good to excellent yields of products with both the VH reagents, reaction times were fairly less in the case of [amide/POCl3] than those of [amide/SOCl2] reagent. Reactions are dramatically acceler- ated in under sonicated and microwave irradiations with a trend: MIR (few seconds) >> Sonication (minutes) > Grinding (min) >> thermal (several hrs).
