SDCAFNet: A Deep Convolutional Neural Network for Land-Cover Semantic Segmentation With the Fusion of PolSAR and Optical Images-Reference-Cited by-同舟云学术

SDCAFNet: A Deep Convolutional Neural Network for Land-Cover Semantic Segmentation With the Fusion of PolSAR and Optical Images

Published:2022 Issue: Volume:15 Page:8928-8942
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:

Chu Boce¹^ORCID,Chen Jinyong²,Chen Jie¹^ORCID,Pei Xinyu²,Yang Wei¹,Gao Feng²,Wang Shicheng²

Affiliation:

1. School of Electronic and Information Engineering, Beihang University, Beijing, China

2. Key Laboratory of Aerospace Information Applications of CETC, Shijiazhuang, China

Funder

S&T Program of Hebei

Foundation of the CETC Key Laboratory of Aerospace Information Applications

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

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4. Polarimetric SAR Images Classification Based on Convolutional Neural Networks;2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR);2023-09-22