Evaluation of spectral similarity indices in unsupervised change detection approaches

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...

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Bibliographic Details
Main Authors: Jeisson Fabian Ramos, Diego Renza, Dora M. Ballesteros L.
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2018-01-01
Series:Dyna
Subjects:
change detection
spectral indices
remote sensing
accuracy assessment
Online Access:https://revistas.unal.edu.co/index.php/dyna/article/view/68355

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