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A Multi-Scale U-Shaped Convolution Auto-Encoder Based on Pyramid Pooling Module for Object Recognition in Synthetic Aperture Radar Images.

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第一作者： Sirui,Tian

第一单位： Department of Electronic Engineering, School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

作者： Sirui,Tian ^[1] ; Yiyu,Lin ^[2] ; Wenyun,Gao ^[3] ; Hong,Zhang ^[4] ; Chao,Wang ^[5]

作者单位： Department of Electronic Engineering, School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. ^[1] Department of Electrical and Computer Engineering, University of California, Riverside, Riversidem, CA 92521, USA. ^[2] College of Computer and Information, Hohai University, Nanjing 211100, China. ^[3] Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China. ^[4] Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China.;College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China. ^[5]

关键词 compact depth-wise separable convolution (CSeConv)convolution auto-encoder (CAE)multi-scale representation learning (MSRL)object classification pyramid pooling module (PPM)synthetic aperture radar (SAR)

DOI 10.3390/s20051533

PMID 32164293

发布时间 2020-03-25

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