A hypergraph-based context-sensitive representation technique for VHR remote-sensing image change detection
Author:
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
http://www.tandfonline.com/doi/pdf/10.1080/2150704X.2016.1163744
Reference14 articles.
1. A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure
2. A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images
3. Automatic analysis of the difference image for unsupervised change detection
4. A Semisupervised Context-Sensitive Change Detection Technique via Gaussian Process
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2. Cross spatio-temporal attention network for change detection;International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023);2023-11-15
3. Change detection in VHR Remote Sensing Images by automatic sample selection and progressive classification;International Journal of Remote Sensing;2023-11-02
4. HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04
5. SDCDNet: A Semi-Dual Change Detection Network Framework With Super-Weak Label for Remote Sensing Image;IEEE Transactions on Geoscience and Remote Sensing;2023
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