PolSAR-MPIformer: A Vision Transformer Based on Mixed Patch Interaction for Dual-Frequency PolSAR Image Adaptive Fusion Classification-Reference-Cited by-同舟云学术

PolSAR-MPIformer: A Vision Transformer Based on Mixed Patch Interaction for Dual-Frequency PolSAR Image Adaptive Fusion Classification

Published:2024 Issue: Volume:17 Page:8527-8542
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:

Xin Xinyue¹^ORCID,Li Ming¹^ORCID,Wu Yan²^ORCID,Li Xiang³,Zhang Peng¹^ORCID,Xu Dazhi¹^ORCID

Affiliation:

1. National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China

2. Remote Sensing Image Processing and Fusion Group, School of Electronics Engineering, Xidian University, Xi'an, China

3. Beijing Institute of Radio Measurement, Beijing, China

Funder

National Natural Science Foundation of China

Civil Space Thirteen Five Years Pre-Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference52 articles.

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1. PolSAR Image Classification Framework With POA Align and Cyclic Channel Attention;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024