CHANGE DETECTION OF HIGH-RESOLUTION REMOTE SENSING IMAGES BASED ON ADAPTIVE FUSION OF MULTIPLE FEATURES
In view of the traditional change detection algorithm mainly depends on the spectral information image spot, failed to effectively mining and fusion of multi-image feature detection advantage, the article borrows the ideas of object oriented analysis proposed a multi feature fusion of remote sensing...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2018-04-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/1689/2018/isprs-archives-XLII-3-1689-2018.pdf |
| _version_ | 1819111871423184896 |
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| author | G. H. Wang H. B. Wang W. F. Fan Y. Liu C. Chen |
| author_facet | G. H. Wang H. B. Wang W. F. Fan Y. Liu C. Chen |
| author_sort | G. H. Wang |
| collection | DOAJ |
| description | In view of the traditional change detection algorithm mainly depends on the spectral information image spot, failed to effectively mining and fusion of multi-image feature detection advantage, the article borrows the ideas of object oriented analysis proposed a multi feature fusion of remote sensing image change detection algorithm. First by the multi-scale segmentation of image objects based; then calculate the various objects of color histogram and linear gradient histogram; utilizes the color distance and edge line feature distance between EMD statistical operator in different periods of the object, using the adaptive weighted method, the color feature distance and edge in a straight line distance of combination is constructed object heterogeneity. Finally, the curvature histogram analysis image spot change detection results. The experimental results show that the method can fully fuse the color and edge line features, thus improving the accuracy of the change detection. |
| first_indexed | 2024-12-22T04:04:30Z |
| format | Article |
| id | doaj.art-60e748d920b045609e53de1e0bcb9aaa |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-22T04:04:30Z |
| publishDate | 2018-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-60e748d920b045609e53de1e0bcb9aaa2022-12-21T18:39:39ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-04-01XLII-31689169410.5194/isprs-archives-XLII-3-1689-2018CHANGE DETECTION OF HIGH-RESOLUTION REMOTE SENSING IMAGES BASED ON ADAPTIVE FUSION OF MULTIPLE FEATURESG. H. Wang0H. B. Wang1W. F. Fan2Y. Liu3C. Chen4China University of Mining and Technology, Xuzhou 221116, ChinaSatelite Surveying and Mapping Application, NASG, Beijing 100830, ChinaSatelite Surveying and Mapping Application, NASG, Beijing 100830, ChinaSatelite Surveying and Mapping Application, NASG, Beijing 100830, ChinaSatelite Surveying and Mapping Application, NASG, Beijing 100830, ChinaIn view of the traditional change detection algorithm mainly depends on the spectral information image spot, failed to effectively mining and fusion of multi-image feature detection advantage, the article borrows the ideas of object oriented analysis proposed a multi feature fusion of remote sensing image change detection algorithm. First by the multi-scale segmentation of image objects based; then calculate the various objects of color histogram and linear gradient histogram; utilizes the color distance and edge line feature distance between EMD statistical operator in different periods of the object, using the adaptive weighted method, the color feature distance and edge in a straight line distance of combination is constructed object heterogeneity. Finally, the curvature histogram analysis image spot change detection results. The experimental results show that the method can fully fuse the color and edge line features, thus improving the accuracy of the change detection.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/1689/2018/isprs-archives-XLII-3-1689-2018.pdf |
| spellingShingle | G. H. Wang H. B. Wang W. F. Fan Y. Liu C. Chen CHANGE DETECTION OF HIGH-RESOLUTION REMOTE SENSING IMAGES BASED ON ADAPTIVE FUSION OF MULTIPLE FEATURES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | CHANGE DETECTION OF HIGH-RESOLUTION REMOTE SENSING IMAGES BASED ON ADAPTIVE FUSION OF MULTIPLE FEATURES |
| title_full | CHANGE DETECTION OF HIGH-RESOLUTION REMOTE SENSING IMAGES BASED ON ADAPTIVE FUSION OF MULTIPLE FEATURES |
| title_fullStr | CHANGE DETECTION OF HIGH-RESOLUTION REMOTE SENSING IMAGES BASED ON ADAPTIVE FUSION OF MULTIPLE FEATURES |
| title_full_unstemmed | CHANGE DETECTION OF HIGH-RESOLUTION REMOTE SENSING IMAGES BASED ON ADAPTIVE FUSION OF MULTIPLE FEATURES |
| title_short | CHANGE DETECTION OF HIGH-RESOLUTION REMOTE SENSING IMAGES BASED ON ADAPTIVE FUSION OF MULTIPLE FEATURES |
| title_sort | change detection of high resolution remote sensing images based on adaptive fusion of multiple features |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/1689/2018/isprs-archives-XLII-3-1689-2018.pdf |
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