中圖分類號(hào)： TP75 文獻(xiàn)標(biāo)識(shí)碼： A DOI：10.16157/j.issn.0258-7998.212116 中文引用格式： 楊鶴猛,，孟秀軍,，陳艷芳，等. 極化SAR影像地物智能分類技術(shù)進(jìn)展[J].電子技術(shù)應(yīng)用,，2022,，48(8)：34-37，94. 英文引用格式： Yang Hemeng,，Meng Xiujun,，Chen Yanfang，et al. Research progress of polarimetric SAR AI image classification[J]. Application of Electronic Technique,，2022,，48(8)：34-37，94.
Research progress of polarimetric SAR AI image classification
Yang Hemeng1,，Meng Xiujun1,，Chen Yanfang1，Wang Tong2,，Huang Yong2,，Sun Zhenrong1
1.Tianjin Enterprise Key Laboratory of Intelligent Remote Sensing and Information Processing Technology， Tianjin Zhong Wei Aerospace Data System Technology Co.,，Ltd.,，Tianjin 300301，China,； 2.Electric Power Research Institute of Guangdong Power Grid Co.,，Ltd.，Guangzhou 510080,，China
Abstract： A review of polarimetric Synthetic Aperture Radar(SAR) image classification technology is provided. Firstly, the application value of the classification is discussed, and the technical problems to be solve are proposed. Secondly, the general work flow for polarimetric SAR image classification algorithm is analysed. Thirdly, the domestic and foreign research status and main technical characteristics are compared, emphatically the polarimetric SAR image intelligent classification algorithm based on deep learning theory is summarized. Finally, combined with the development trend of SAR remote sensing,，the further study directions of polarimetric SAR image intelligent classification technology are pointed out.
Key words : SAR；polarization,；intelligent image classification,；deep learning；feature extraction
