Integrating Thresholding With Level Set Method for Unsupervised Change Detection in Multitemporal SAR Images
In this study, we present a new approach for unsupervised change detection in multitemporal synthetic aperture radar (SAR) images based on integrating thresholding with level set method (LSM), which is free of any prior assumption about modeling the data distribution in the difference image. The pro...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2017-09-01
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| Series: | Canadian Journal of Remote Sensing |
| Online Access: | http://dx.doi.org/10.1080/07038992.2017.1342205 |