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International Journal of Remote Sensing Volume 37, 2016 - Issue 8
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Articles

A hypergraph-based context-sensitive representation technique for VHR remote-sensing image change detection

Ping JianSchool of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;Beijing Engineering Applications Research Centre of High Volume Language Information Processing and Cloud Computing, Beijing Institute of Technology, Beijing, ChinaCorrespondence[email protected]
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Keming ChenKey Laboratory of GeoSpatial Information Processing and Application System Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;R & D Centre, Beijing Institute of Remote Sensing, Beijing, ChinaView further author information
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Chenwei ZhangSchool of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;Beijing Engineering Applications Research Centre of High Volume Language Information Processing and Cloud Computing, Beijing Institute of Technology, Beijing, ChinaView further author information
Pages 1814-1825 | Received 03 Sep 2015, Accepted 29 Feb 2016, Published online: 11 Apr 2016

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Yuzhen Shen, Yuanhe Yu, Yuchun Wei, Houcai Guo & Xudong Rui. (2023) Change detection in VHR Remote Sensing Images by automatic sample selection and progressive classification. International Journal of Remote Sensing 44:21, pages 6595-6614.
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Daifeng Peng & Yongjun Zhang. (2017) Object-based change detection from satellite imagery by segmentation optimization and multi-features fusion. International Journal of Remote Sensing 38:13, pages 3886-3905.
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Articles from other publishers (14)

Zhengyi Yang, Wenjie Zhang, Xuemin Lin, Ying Zhang & Shunyang Li. (2023) HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs. HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs.
Jiahao Wang, Fang Liu, Hao Wang, Xu Liu, Licheng Jiao, Hua Yang, Lingling Li & Puhua Chen. (2023) SDCDNet: A Semi-Dual Change Detection Network Framework With Super-Weak Label for Remote Sensing Image. IEEE Transactions on Geoscience and Remote Sensing 61, pages 1-14.
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Elyar Adil, Xiangli Yang, Pingping Huang, Xiaolong Liu, Weixian Tan & Jianxi Yang. (2022) Cascaded U-Net with Training Wheel Attention Module for Change Detection in Satellite Images. Remote Sensing 14:24, pages 6361.
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Priti Bansal, Mayur Vaid & Shivam Gupta. (2022) OBCD-HH: an object-based change detection approach using multi-feature non-seed-based region growing segmentation. Multimedia Tools and Applications 81:6, pages 8059-8091.
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Yuhang Su, Yu Gu, Zhigang Wang, Ying Zhang, Jianbin Qin & Ge Yu. (2022) Efficient subhypergraph matching based on hyperedge features. IEEE Transactions on Knowledge and Data Engineering, pages 1-1.
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Ping Jian, Keming Chen & Wei Cheng. (2022) GAN-Based One-Class Classification for Remote-Sensing Image Change Detection. IEEE Geoscience and Remote Sensing Letters 19, pages 1-5.
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Yi Zhang, Lei Fu, Ying Li & Yanning Zhang. (2021) HDFNet: Hierarchical Dynamic Fusion Network for Change Detection in Optical Aerial Images. Remote Sensing 13:8, pages 1440.
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Yi Zhang, Shizhou Zhang, Ying Li & Yanning Zhang. (2020) Coarse-to-Fine Satellite Images Change Detection Framework via Boundary-Aware Attentive Network. Sensors 20:23, pages 6735.
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Jie Kong, Quansen Sun, Mithun Mukherjee & Jaime Lloret. (2020) Low-Rank Hypergraph Hashing for Large-Scale Remote Sensing Image Retrieval. Remote Sensing 12:7, pages 1164.
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Daifeng Peng, Yongjun Zhang & Haiyan Guan. (2019) End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++. Remote Sensing 11:11, pages 1382.
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Daifeng Peng & Haiyan Guan. (2019) Unsupervised change detection method based on saliency analysis and convolutional neural network. Journal of Applied Remote Sensing 13:02, pages 1.
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Yongjun Zhang, Daifeng Peng & Xu Huang. (2018) Object-Based Change Detection for VHR Images Based on Multiscale Uncertainty Analysis. IEEE Geoscience and Remote Sensing Letters 15:1, pages 13-17.
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P. Scheunders, D. Tuia & G. Moser. 2018. Comprehensive Remote Sensing. Comprehensive Remote Sensing 199 243 .
Gabriele Moser, Josiane Zerubia, Sebastiano B. Serpico & Jon A. Benediktsson. 2018. Mathematical Models for Remote Sensing Image Processing. Mathematical Models for Remote Sensing Image Processing 1 36 .

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