Reg-Superpixel Guided Convolutional Neural Network of PolSAR Image Classification Based on Feature Selection and Receptive Field Reconstruction-Reference-Cited by-同舟云学术

Reg-Superpixel Guided Convolutional Neural Network of PolSAR Image Classification Based on Feature Selection and Receptive Field Reconstruction

Published:2023 Issue: Volume:16 Page:4312-4327
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Shang Ronghua¹^ORCID,Zhu Keyao¹^ORCID,Feng Jie¹,Wang Chao²^ORCID,Jiao Licheng¹^ORCID,Xu Songhua³

Affiliation:

1. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China

2. Research Center for Big Data Intelligence, Zhejiang Laboratory, Hangzhou, China

3. Institute of Medical Artiffcial Intelligence, The Second Afffliated Hospital of Xi'an Jiaotong University, Xi'an, China

Funder

National Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi

Open Research Projects of Zhejiang Lab

Basic and Applied Basic Research Foundation of Guangdong Province

Research Project of SongShan Laboratory

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject