Change Detection of Water Resources via Remote Sensing: An L-V-NSCT Approach
Aiming at the change detection of water resources via remote sensing, the non-subsampling contour transformation method combining a log-vari model and the Stractural Similarity of Variogram (VSSIM) model, namely log-vari and VSSIM based non-subsampled contourlet transform (L-V-NSCT) approach, is pro...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/9/6/1223 |
| _version_ | 1811282405672091648 |
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| author | Wang Xin Tang Can Wang Wei Li Ji |
| author_facet | Wang Xin Tang Can Wang Wei Li Ji |
| author_sort | Wang Xin |
| collection | DOAJ |
| description | Aiming at the change detection of water resources via remote sensing, the non-subsampling contour transformation method combining a log-vari model and the Stractural Similarity of Variogram (VSSIM) model, namely log-vari and VSSIM based non-subsampled contourlet transform (L-V-NSCT) approach, is proposed. Firstly, a differential image construction method based on non-subsampled contourlet transform (NSCT) texture analysis is designed to extract the low-frequency and high-frequency texture features of the objects in the images. Secondly, the texture features of rivers, lakes and other objects in the images are accurately classified. Finally, the change detection results of regions of interest are extracted and evaluated. In this experiment, the L-V-NSCT approach is compared with other methods with the results showing the effectiveness of this method. The change in Dongting Lake is also analyzed, which can be used as a reference for relevant administrative departments. |
| first_indexed | 2024-04-13T01:51:54Z |
| format | Article |
| id | doaj.art-9b306acaf4454aa497d3b394683d9239 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-04-13T01:51:54Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-9b306acaf4454aa497d3b394683d92392022-12-22T03:07:52ZengMDPI AGApplied Sciences2076-34172019-03-0196122310.3390/app9061223app9061223Change Detection of Water Resources via Remote Sensing: An L-V-NSCT ApproachWang Xin0Tang Can1Wang Wei2Li Ji3School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan, ChinaSchool of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan, ChinaSchool of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan, ChinaSchool of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan, ChinaAiming at the change detection of water resources via remote sensing, the non-subsampling contour transformation method combining a log-vari model and the Stractural Similarity of Variogram (VSSIM) model, namely log-vari and VSSIM based non-subsampled contourlet transform (L-V-NSCT) approach, is proposed. Firstly, a differential image construction method based on non-subsampled contourlet transform (NSCT) texture analysis is designed to extract the low-frequency and high-frequency texture features of the objects in the images. Secondly, the texture features of rivers, lakes and other objects in the images are accurately classified. Finally, the change detection results of regions of interest are extracted and evaluated. In this experiment, the L-V-NSCT approach is compared with other methods with the results showing the effectiveness of this method. The change in Dongting Lake is also analyzed, which can be used as a reference for relevant administrative departments.https://www.mdpi.com/2076-3417/9/6/1223change detectionNSCTvariogram functionstructure similarityDongting Lake |
| spellingShingle | Wang Xin Tang Can Wang Wei Li Ji Change Detection of Water Resources via Remote Sensing: An L-V-NSCT Approach Applied Sciences change detection NSCT variogram function structure similarity Dongting Lake |
| title | Change Detection of Water Resources via Remote Sensing: An L-V-NSCT Approach |
| title_full | Change Detection of Water Resources via Remote Sensing: An L-V-NSCT Approach |
| title_fullStr | Change Detection of Water Resources via Remote Sensing: An L-V-NSCT Approach |
| title_full_unstemmed | Change Detection of Water Resources via Remote Sensing: An L-V-NSCT Approach |
| title_short | Change Detection of Water Resources via Remote Sensing: An L-V-NSCT Approach |
| title_sort | change detection of water resources via remote sensing an l v nsct approach |
| topic | change detection NSCT variogram function structure similarity Dongting Lake |
| url | https://www.mdpi.com/2076-3417/9/6/1223 |
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