A Enhanced DeepLabv3+ for PolSAR image classification

Author:

Zhang Fang1,Li Pin2,Zhang Yuanpeng1,Liu Xiaolu1,Ma Xiaojing1,Yin Zhiping1

Affiliation:

1. Hefei University of Technology,National Engineering Laboratory of Special Display Technology, Academy of Opto-Electric Technology,Hefei,China,230009

2. Nanjing Research Institute of Electronics Technology,Nanjing,China,210039

Publisher

IEEE

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on Input Schemes for Polarimetric SAR Classification Using Deep Learning;Remote Sensing;2024-05-21

2. Weighted Features Based Classification of Polarimetric SAR Images;2024 13th Iranian/3rd International Machine Vision and Image Processing Conference (MVIP);2024-03-06

3. Polarimetry-Inspired Contrastive Learning for Class-Imbalanced PolSAR Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

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