A NOVEL FUSION-BASED UNSUPERVISED APPROACH FOR MULTISPECTRAL IMAGE CHANGE DETECTION WITH SALIENCY MAPS
To fully utilize the spectral information and remove noise in multispectral image change detection, A fusion-based unsupervised approach, which exploits NSCT (Nonsubsampled Contourlet Transform) and multi-scale saliency maps for detecting changed areas by using multispectral images is presented in t...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-09-01
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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-2-W7/1031/2017/isprs-archives-XLII-2-W7-1031-2017.pdf |