Overview of deep learning algorithms for PolSAR image classification
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Science China Press., Co. Ltd.
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https://engine.scichina.com/doi/pdf/F9435F92F2CF476D895A5EF72DEE4627
Reference118 articles.
1. Wang X, Zhang L, Wang N. Joint polarimetric-adjacent features based on LCSR for PolSAR image classification. IEEE J Sel Top Appl Earth Observ Remote Sens, 2021, 14: 6230-6243.
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3. van Zyl J J, Zebker H A, Elachi C. Imaging radar polarization signatures: Theory and observation. Radio Sci, 1987, 22: 529-543.
4. He C, He B, Tu M. Fully convolutional networks and a manifold graph embedding-based algorithm for PolSAR image classification. Remote Sens, 2020, 12:
5. Bi H, Yao J, Wei Z, et al. PolSAR image classification based on robust low-rank feature extraction and Markov random field. IEEE Geosci Remote Sens Lett, 2020, 19: 1‒5.
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