UNSUPERVISED CHANGE DETECTION IN OPTICAL SATELLITE IMAGERY USING SIFT FLOW
The process of identifying change in remote sensing images has been a focal point of research for decades now. Many classical algorithms exist, and many new modern ones are still being developed. These algorithms can be divided into supervised and unsupervised. In this work an unsupervised method is...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-07-01
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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/XLVI-M-2-2022/47/2022/isprs-archives-XLVI-M-2-2022-47-2022.pdf |