Pointwise SAR image change detection using stereo-graph cuts with spatio-temporal information
Author:
Affiliation:
1. School of Computer and Information, Hefei University of Technology, Hefei, Anhui, PR China
2. Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, Anhui, PR China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Anhui Province
Key Research and Development Program of Anhui Province
Fundamental Research Funds for the Central Universities
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2018.1562581
Reference15 articles.
1. An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision
2. Detecting changes of the Yellow River Estuary via SAR images based on a local fit-search model and kernel-induced graph cuts
3. Fuzzy Clustering With a Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images
4. Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering
5. Unsupervised Change Detection in Multitemporal SAR Images Over Large Urban Areas
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