CMR-CNN: Cross-Mixing Residual Network for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

CMR-CNN: Cross-Mixing Residual Network for Hyperspectral Image Classification

Published:2022 Issue: Volume:15 Page:8974-8989
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:

Yang Zhen¹,Xi Zhipeng¹,Zhang Tao²^ORCID,Guo Weiwei³^ORCID,Zhang Zenghui²^ORCID,Li Heng-Chao⁴^ORCID

Affiliation:

1. School of Communication and Electronics, Jiangxi Science and Technology Normal University, Nanchang, China

2. Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University, Shanghai, China

3. Center for Digital Innovation, Tongji University, Shanghai, China

4. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

Funder

National Natural Science Foundation of China

General Project of Jiangxi Nature Science Foundation

Double First-Class Construction Foundation

ESA-Most China Dragon 5 Programm

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. A local enhanced mamba network for hyperspectral image classification;International Journal of Applied Earth Observation and Geoinformation;2024-09