Unsupervised change detection in SAR images based on locally fitting model and semi-EM algorithm
Author:
Affiliation:
1. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an 710071, China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2013.871596
Reference21 articles.
1. An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images
2. Image thresholding based on the EM algorithm and the generalized Gaussian distribution
3. An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images
4. Multi-type change detection of building models by integrating spatial and spectral information
5. A Neighborhood-Based Ratio Approach for Change Detection in SAR Images
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