Evaluation of spectral similarity indices in unsupervised change detection approaches
Unsupervised change detection (UCD) is a subject of Remote Sensing whose objective is to detect the differences between two multi-temporal images. In some cases, spectral similarity indices have been used as the comparison block in algorithms of UCD. The aim of this paper is to show in a quantitativ...
| Autors principals: | , , |
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| Format: | Article |
| Idioma: | English |
| Publicat: |
Universidad Nacional de Colombia
2018-01-01
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| Col·lecció: | Dyna |
| Matèries: | |
| Accés en línia: | https://revistas.unal.edu.co/index.php/dyna/article/view/68355 |