Remote Sensing based Building Extraction
Building extraction from remote sensing data plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Even though significant research has been carried out for more than two decades, the success of automatic...
Gorde:
| Egile Nagusiak: | , , , |
|---|---|
| Formatua: | Online |
| Hizkuntza: | ingelesa |
| Argitaratua: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
|
| Gaiak: | |
| Sarrera elektronikoa: | 44862 |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|
| _version_ | 1869531522885746688 |
|---|---|
| author | Yang, Bisheng Awrangjeb, Mohammad Hu, Xiangyun Tian, Jiaojiao |
| author_browse | Awrangjeb, Mohammad Hu, Xiangyun Tian, Jiaojiao Yang, Bisheng |
| author_facet | Yang, Bisheng Awrangjeb, Mohammad Hu, Xiangyun Tian, Jiaojiao |
| author_sort | Yang, Bisheng |
| collection | Directory of Open Access Books |
| description | Building extraction from remote sensing data plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Even though significant research has been carried out for more than two decades, the success of automatic building extraction and modeling is still largely impeded by scene complexity, incomplete cue extraction, and sensor dependency of data. Most recently, deep neural networks (DNN) have been widely applied for high classification accuracy in various areas including land-cover and land-use classification. Therefore, intelligent and innovative algorithms are needed for the success of automatic building extraction and modeling. This Special Issue focuses on newly developed methods for classification and feature extraction from remote sensing data for automatic building extraction and 3D |
| format | Online |
| id | doab-20.500.12854ir-58168 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-581682024-04-11T15:10:41Z Remote Sensing based Building Extraction Yang, Bisheng Awrangjeb, Mohammad Hu, Xiangyun Tian, Jiaojiao TA1-2040 TH1-9745 T1-995 object recognition n/a very high resolution image fusion regularization simple linear iterative clustering (SLIC) digital building height building DTM extraction 3D reconstruction imagery GIS data high-resolution satellite images building edges detection high resolution optical images point clouds building extraction land-use morphological attribute filter deep convolutional neural network boundary extraction high spatial resolution remotely sensed imagery remote sensing fully convolutional network 3-D semantic segmentation morphological profile modelling roof segmentation boundary regulated network 3D urban expansion feature fusion developing city very high resolution imagery building detection occlusion change detection building index Massachusetts buildings dataset elevation map high spatial resolution remote sensing imagery data fusion generative adversarial network unmanned aerial vehicle (UAV) high-resolution aerial images ultra-hierarchical sampling U-Net binary decision network straight-line segment matching outline extraction building boundary extraction deep learning aerial images mobile laser scanning feature extraction multiscale Siamese convolutional networks (MSCNs) urban building extraction high-resolution aerial imagery mathematical morphology indoor modelling Gabor filter active contour model attention mechanism convolutional neural network LiDAR accuracy analysis point cloud feature-level-fusion building reconstruction richer convolution features open data VHR remote sensing imagery Inria aerial image labeling dataset LiDAR point cloud method comparison 5G signal simulation reconstruction building regularization technique web-net thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Building extraction from remote sensing data plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Even though significant research has been carried out for more than two decades, the success of automatic building extraction and modeling is still largely impeded by scene complexity, incomplete cue extraction, and sensor dependency of data. Most recently, deep neural networks (DNN) have been widely applied for high classification accuracy in various areas including land-cover and land-use classification. Therefore, intelligent and innovative algorithms are needed for the success of automatic building extraction and modeling. This Special Issue focuses on newly developed methods for classification and feature extraction from remote sensing data for automatic building extraction and 3D 2021-02-12T01:47:28Z 2021-02-12T01:47:28Z 2020-04-07 23:07:09 2020 book 44862 9783039283835 9783039283828 https://directory.doabooks.org/handle/20.500.12854/58168 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/2139 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03928-383-5 10.3390/books978-3-03928-383-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039283835 9783039283828 442 open access |
| spellingShingle | TA1-2040 TH1-9745 T1-995 object recognition n/a very high resolution image fusion regularization simple linear iterative clustering (SLIC) digital building height building DTM extraction 3D reconstruction imagery GIS data high-resolution satellite images building edges detection high resolution optical images point clouds building extraction land-use morphological attribute filter deep convolutional neural network boundary extraction high spatial resolution remotely sensed imagery remote sensing fully convolutional network 3-D semantic segmentation morphological profile modelling roof segmentation boundary regulated network 3D urban expansion feature fusion developing city very high resolution imagery building detection occlusion change detection building index Massachusetts buildings dataset elevation map high spatial resolution remote sensing imagery data fusion generative adversarial network unmanned aerial vehicle (UAV) high-resolution aerial images ultra-hierarchical sampling U-Net binary decision network straight-line segment matching outline extraction building boundary extraction deep learning aerial images mobile laser scanning feature extraction multiscale Siamese convolutional networks (MSCNs) urban building extraction high-resolution aerial imagery mathematical morphology indoor modelling Gabor filter active contour model attention mechanism convolutional neural network LiDAR accuracy analysis point cloud feature-level-fusion building reconstruction richer convolution features open data VHR remote sensing imagery Inria aerial image labeling dataset LiDAR point cloud method comparison 5G signal simulation reconstruction building regularization technique web-net thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Yang, Bisheng Awrangjeb, Mohammad Hu, Xiangyun Tian, Jiaojiao Remote Sensing based Building Extraction |
| title | Remote Sensing based Building Extraction |
| title_full | Remote Sensing based Building Extraction |
| title_fullStr | Remote Sensing based Building Extraction |
| title_full_unstemmed | Remote Sensing based Building Extraction |
| title_short | Remote Sensing based Building Extraction |
| title_sort | remote sensing based building extraction |
| topic | TA1-2040 TH1-9745 T1-995 object recognition n/a very high resolution image fusion regularization simple linear iterative clustering (SLIC) digital building height building DTM extraction 3D reconstruction imagery GIS data high-resolution satellite images building edges detection high resolution optical images point clouds building extraction land-use morphological attribute filter deep convolutional neural network boundary extraction high spatial resolution remotely sensed imagery remote sensing fully convolutional network 3-D semantic segmentation morphological profile modelling roof segmentation boundary regulated network 3D urban expansion feature fusion developing city very high resolution imagery building detection occlusion change detection building index Massachusetts buildings dataset elevation map high spatial resolution remote sensing imagery data fusion generative adversarial network unmanned aerial vehicle (UAV) high-resolution aerial images ultra-hierarchical sampling U-Net binary decision network straight-line segment matching outline extraction building boundary extraction deep learning aerial images mobile laser scanning feature extraction multiscale Siamese convolutional networks (MSCNs) urban building extraction high-resolution aerial imagery mathematical morphology indoor modelling Gabor filter active contour model attention mechanism convolutional neural network LiDAR accuracy analysis point cloud feature-level-fusion building reconstruction richer convolution features open data VHR remote sensing imagery Inria aerial image labeling dataset LiDAR point cloud method comparison 5G signal simulation reconstruction building regularization technique web-net thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | TA1-2040 TH1-9745 T1-995 object recognition n/a very high resolution image fusion regularization simple linear iterative clustering (SLIC) digital building height building DTM extraction 3D reconstruction imagery GIS data high-resolution satellite images building edges detection high resolution optical images point clouds building extraction land-use morphological attribute filter deep convolutional neural network boundary extraction high spatial resolution remotely sensed imagery remote sensing fully convolutional network 3-D semantic segmentation morphological profile modelling roof segmentation boundary regulated network 3D urban expansion feature fusion developing city very high resolution imagery building detection occlusion change detection building index Massachusetts buildings dataset elevation map high spatial resolution remote sensing imagery data fusion generative adversarial network unmanned aerial vehicle (UAV) high-resolution aerial images ultra-hierarchical sampling U-Net binary decision network straight-line segment matching outline extraction building boundary extraction deep learning aerial images mobile laser scanning feature extraction multiscale Siamese convolutional networks (MSCNs) urban building extraction high-resolution aerial imagery mathematical morphology indoor modelling Gabor filter active contour model attention mechanism convolutional neural network LiDAR accuracy analysis point cloud feature-level-fusion building reconstruction richer convolution features open data VHR remote sensing imagery Inria aerial image labeling dataset LiDAR point cloud method comparison 5G signal simulation reconstruction building regularization technique web-net thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | 44862 |
| work_keys_str_mv | AT yangbisheng remotesensingbasedbuildingextraction AT awrangjebmohammad remotesensingbasedbuildingextraction AT huxiangyun remotesensingbasedbuildingextraction AT tianjiaojiao remotesensingbasedbuildingextraction |