BUILDING CHANGE DETECTION IN VERY HIGH RESOLUTION SATELLITE STEREO IMAGE TIME SERIES
There is an increasing demand for robust methods on urban sprawl monitoring. The steadily increasing number of high resolution and multi-view sensors allows producing datasets with high temporal and spatial resolution; however, less effort has been dedicated to employ very high resolution (VHR) sate...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-06-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-7/149/2016/isprs-annals-III-7-149-2016.pdf |
| _version_ | 1818274624169836544 |
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| author | J. Tian R. Qin D. Cerra P. Reinartz |
| author_facet | J. Tian R. Qin D. Cerra P. Reinartz |
| author_sort | J. Tian |
| collection | DOAJ |
| description | There is an increasing demand for robust methods on urban sprawl monitoring. The steadily increasing number of high resolution and multi-view sensors allows producing datasets with high temporal and spatial resolution; however, less effort has been dedicated to employ very high resolution (VHR) satellite image time series (SITS) to monitor the changes in buildings with higher accuracy. In addition, these VHR data are often acquired from different sensors. The objective of this research is to propose a robust time-series data analysis method for VHR stereo imagery. Firstly, the spatial-temporal information of the stereo imagery and the Digital Surface Models (DSMs) generated from them are combined, and building probability maps (BPM) are calculated for all acquisition dates. In the second step, an object-based change analysis is performed based on the derivative features of the BPM sets. The change consistence between object-level and pixel-level are checked to remove any outlier pixels. Results are assessed on six pairs of VHR satellite images acquired within a time span of 7 years. The evaluation results have proved the efficiency of the proposed method. |
| first_indexed | 2024-12-12T22:16:49Z |
| format | Article |
| id | doaj.art-3feadd2c8dc9482181ba8b507c84d267 |
| institution | Directory Open Access Journal |
| issn | 2194-9042 2194-9050 |
| language | English |
| last_indexed | 2024-12-12T22:16:49Z |
| publishDate | 2016-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-3feadd2c8dc9482181ba8b507c84d2672022-12-22T00:10:03ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502016-06-01III-714915510.5194/isprs-annals-III-7-149-2016BUILDING CHANGE DETECTION IN VERY HIGH RESOLUTION SATELLITE STEREO IMAGE TIME SERIESJ. Tian0R. Qin1D. Cerra2P. Reinartz3Dept. Photogrammetry and Image Analysis, Remote Sensing Technology Institute, German Aerospace Center (DLR), GermanyDept. Civil, Environmental and Geodetic Engineering, The Ohio State University, USADept. Photogrammetry and Image Analysis, Remote Sensing Technology Institute, German Aerospace Center (DLR), GermanyDept. Photogrammetry and Image Analysis, Remote Sensing Technology Institute, German Aerospace Center (DLR), GermanyThere is an increasing demand for robust methods on urban sprawl monitoring. The steadily increasing number of high resolution and multi-view sensors allows producing datasets with high temporal and spatial resolution; however, less effort has been dedicated to employ very high resolution (VHR) satellite image time series (SITS) to monitor the changes in buildings with higher accuracy. In addition, these VHR data are often acquired from different sensors. The objective of this research is to propose a robust time-series data analysis method for VHR stereo imagery. Firstly, the spatial-temporal information of the stereo imagery and the Digital Surface Models (DSMs) generated from them are combined, and building probability maps (BPM) are calculated for all acquisition dates. In the second step, an object-based change analysis is performed based on the derivative features of the BPM sets. The change consistence between object-level and pixel-level are checked to remove any outlier pixels. Results are assessed on six pairs of VHR satellite images acquired within a time span of 7 years. The evaluation results have proved the efficiency of the proposed method.http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-7/149/2016/isprs-annals-III-7-149-2016.pdf |
| spellingShingle | J. Tian R. Qin D. Cerra P. Reinartz BUILDING CHANGE DETECTION IN VERY HIGH RESOLUTION SATELLITE STEREO IMAGE TIME SERIES ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | BUILDING CHANGE DETECTION IN VERY HIGH RESOLUTION SATELLITE STEREO IMAGE TIME SERIES |
| title_full | BUILDING CHANGE DETECTION IN VERY HIGH RESOLUTION SATELLITE STEREO IMAGE TIME SERIES |
| title_fullStr | BUILDING CHANGE DETECTION IN VERY HIGH RESOLUTION SATELLITE STEREO IMAGE TIME SERIES |
| title_full_unstemmed | BUILDING CHANGE DETECTION IN VERY HIGH RESOLUTION SATELLITE STEREO IMAGE TIME SERIES |
| title_short | BUILDING CHANGE DETECTION IN VERY HIGH RESOLUTION SATELLITE STEREO IMAGE TIME SERIES |
| title_sort | building change detection in very high resolution satellite stereo image time series |
| url | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-7/149/2016/isprs-annals-III-7-149-2016.pdf |
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