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    • Low-rank tensor embedded deep neural network for hyperspectral image denoising

    • Remote sensing satellite technology is developing rapidly, and new progress has been made in denoising hyperspectral images. Experts have proposed a low rank tensor embedding deep neural network method, which effectively removes image noise and improves denoising ability.
    • Vol. 28, Issue 1, Pages: 121-131(2024)   

      Received:10 April 2023

      Published:07 January 2024

    • DOI: 10.11834/jrs.20243119     

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  • Tu K,Xiong F C and Hou X Q. 2024. Low-rank tensor embedded deep neural network for hyperspectral image denoising. National Remote Sensing Bulletin, 28(1):121-131 DOI: 10.11834/jrs.20243119.
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相关作者

WANG Zhuo 河南大学 软件学院;中国空间技术研究院 钱学森空间技术实验室
MA Jun 河南大学 软件学院
GUO Yi 澳大利亚西悉尼大学
ZHOU Chuanjie 北京市遥感信息研究所
BAI Bin 北京市遥感信息研究所
LI Feng 中国空间技术研究院 钱学森空间技术实验室
SU Yuanchao 西安科技大学 测绘科学与技术学院;中国科学院空天信息创新研究院 计算光学成像技术院重点实验室
XU Ruoqing 西安科技大学 测绘科学与技术学院

相关机构

Beijing Institute of Remote Sensing Information
Western Sydney University, Penrith South
Qian Xuesen Space Technology Laboratory, China Academy of Space Technology
College of Software, Henan University
College of Geomatic, Xi'an University of Science and Technology
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