A novel change detection method combined with registration for SAR images
Author:
Affiliation:
1. Department of Electronic Engineering, Tsinghua University, Beijing, China
2. Luoyang Electronic Equipment Test Center, Luoyang, China
Funder
National Natural Science Foundation of China
National Key R&D Program of China
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2019.1594430
Reference12 articles.
1. Lucas-Kanade 20 Years On: A Unifying Framework
2. An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images
3. Nonparametric Change Detection in Multitemporal SAR Images Based on Mean-Shift Clustering
4. Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering
5. SAR-SIFT: A SIFT-Like Algorithm for SAR Images
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