SSMU-Net: A Style Separation and Mode Unification Network for Multimodal Remote Sensing Image Classification-Reference-Cited by-同舟云学术

SSMU-Net: A Style Separation and Mode Unification Network for Multimodal Remote Sensing Image Classification

Published:2023 Issue: Volume:61 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Han Yi¹,Zhu Hao¹^ORCID,Jiao Licheng¹^ORCID,Yi Xiaoyu¹,Li Xiaotong¹^ORCID,Hou Biao¹^ORCID,Ma Wenping¹^ORCID,Wang Shuang¹^ORCID

Affiliation:

1. Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi’an, China

Funder

National Natural Science Foundation of China

Science and Technology Program in Xi'an of China

Higher Education Discipline Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10271328.pdf?arnumber=10271328

Reference46 articles.

1. X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data