Multi-spectral image change detection based on single-band iterative weighting and fuzzy C-means clustering
In the present study, an improved iteratively reweighted multivariate alteration detection (IR-MAD) algorithm was proposed to improve the contribution of weakly correlated bands in multi-spectral image change detection. In the proposed algorithm, each image band was given a different weight through...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2020-01-01
|
Series: | European Journal of Remote Sensing |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/22797254.2019.1707124 |