Category-Level Band Learning-Based Feature Extraction for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Category-Level Band Learning-Based Feature Extraction for Hyperspectral Image Classification

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Fu Ying¹^ORCID,Liu Hongrong²^ORCID,Zou Yunhao³^ORCID,Wang Shuai⁴,Li Zhongxiang¹^ORCID,Zheng Dezhi¹

Affiliation:

1. MIIT Key Laboratory of Complex-Field Intelligent Exploration, Beijing Institute of Technology, Beijing, China

2. Yangtze Delta Region Academy, Beijing Institute of Technology, Jiaxing, China

3. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

4. School of Computer Science and Engineering, Beihang University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10360444.pdf?arnumber=10360444

Reference64 articles.

1. Joint Camera Spectral Response Selection and Hyperspectral Image Recovery

2. Coded Hyperspectral Image Reconstruction using Deep External and Internal Learning

3. A large-scale hyperspectral dataset for flower classification

4. Joint Spatial-Spectral Pattern Optimization and Hyperspectral Image Reconstruction

5. Blind Super-Resolution of Single Remotely Sensed Hyperspectral Image

Cited by 2 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

1. Supervise-Assisted Self-Supervised Deep-Learning Method for Hyperspectral Image Restoration;IEEE Transactions on Neural Networks and Learning Systems;2024

2. Siamese-DETR for Generic Multi-Object Tracking;IEEE Transactions on Image Processing;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3