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Articles

Unsupervised change detection in SAR images based on locally fitting model and semi-EM algorithm

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Pages 621-650 | Received 26 Mar 2013, Accepted 10 Nov 2013, Published online: 20 Jan 2014

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Wenping Ma, Yue Wu, Maoguo Gong, Yunta Xiong, Hui Yang & Tianyu Hu. (2019) Change detection in SAR images based on matrix factorisation and a Bayes classifier. International Journal of Remote Sensing 40:3, pages 1066-1091.
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Linzhi Su, Maoguo Gong & Bo Sun. (2014) Change detection in synthetic aperture radar images based on non-local means with ratio similarity measurement. International Journal of Remote Sensing 35:22, pages 7673-7690.
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Articles from other publishers (18)

Maoguo Gong, Tianqi Gao, Mingyang Zhang, Wei Li, Zhibin Wang & Dezhong Li. (2023) An M-Nary SAR Image Change Detection Based on GAN Architecture Search. IEEE Transactions on Geoscience and Remote Sensing 61, pages 1-18.
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Yufa Xia, Xin Xu & Fangling Pu. (2022) PCBA-Net: Pyramidal Convolutional Block Attention Network for Synthetic Aperture Radar Image Change Detection. Remote Sensing 14:22, pages 5762.
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Lei Pang, Jinjin Sun, Yancheng Chi, Yongwen Yang, Fengli Zhang & Lu Zhang. (2022) CD-TransUNet: A Hybrid Transformer Network for the Change Detection of Urban Buildings Using L-Band SAR Images. Sustainability 14:16, pages 9847.
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Danial Ghaderi & Maryam Rahbani. (2022) Mud volcano as a feature of emergence in Caspian Sea. Oceanologia 64:3, pages 503-513.
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Rezvan Habibollahi, Seyd Teymoor Seydi, Mahdi Hasanlou & Masoud Mahdianpari. (2022) TCD-Net: A Novel Deep Learning Framework for Fully Polarimetric Change Detection Using Transfer Learning. Remote Sensing 14:3, pages 438.
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Guangwei Zhao & Yaxin Peng. (2022) Semisupervised SAR image change detection based on a siamese variational autoencoder. Information Processing & Management 59:1, pages 102726.
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Hatem Magdy Keshk & Xu-Cheng Yin. (2019) Change Detection in SAR Images Based on Deep Learning. International Journal of Aeronautical and Space Sciences 21:2, pages 549-559.
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Licheng Jiao, Ronghua Shang, Fang Liu & Weitong Zhang. 2020. Brain and Nature-Inspired Learning Computation and Recognition. Brain and Nature-Inspired Learning Computation and Recognition 477 557 .
Yangyang Li, Cheng Peng, Yanqiao Chen, Licheng Jiao, Linhao Zhou & Ronghua Shang. (2019) A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images. IEEE Transactions on Geoscience and Remote Sensing 57:8, pages 5751-5763.
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Lu Li, Chao Wang, Hong Zhang, Bo Zhang & Fan Wu. (2019) Urban Building Change Detection in SAR Images Using Combined Differential Image and Residual U-Net Network. Remote Sensing 11:9, pages 1091.
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Shuyuan Yang, Zhi Liu, Quanwei Gao, Yuteng Gao & Zhixi Feng. (2019) Extreme Self-Paced Learning Machine for On-Orbit SAR Images Change Detection. IEEE Access 7, pages 116413-116423.
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Jiaqi Yu. 2019. Digital TV and Multimedia Communication. Digital TV and Multimedia Communication 106 117 .
Yangyang Li, Linhao Zhou, Cheng Peng & Licheng Jiao. (2018) Spatial Fuzzy Clustering and Deep Auto-encoder for Unsupervised Change Detection in Synthetic Aperture Radar Images. Spatial Fuzzy Clustering and Deep Auto-encoder for Unsupervised Change Detection in Synthetic Aperture Radar Images.
Linlin Li, Xiuguo Liu, Qihao Chen & Shuai Yang. (2018) Building damage assessment from PolSAR data using texture parameters of statistical model. Computers & Geosciences 113, pages 115-126.
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Alberto Refice, Annarita D’Addabbo & Domenico Capolongo. 2018. Flood Monitoring through Remote Sensing. Flood Monitoring through Remote Sensing 1 25 .
Marco Chini, Renaud Hostache, Laura Giustarini & Patrick Matgen. (2017) A Hierarchical Split-Based Approach for Parametric Thresholding of SAR Images: Flood Inundation as a Test Case. IEEE Transactions on Geoscience and Remote Sensing 55:12, pages 6975-6988.
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Ronghua Shang, Weitong Zhang & Licheng Jiao. 2017. Cloud Computing and Security. Cloud Computing and Security 541 553 .
Shaona Wang, Licheng Jiao & Shuyuan Yang. (2016) SAR Images Change Detection Based on Spatial Coding and Nonlocal Similarity Pooling. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9:8, pages 3452-3466.
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