PU-KBS: A Robust Positive and Unlabeled Learning Framework With Key Band Selection for One-Class Hyperspectral Image Classification-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

PU-KBS: A Robust Positive and Unlabeled Learning Framework With Key Band Selection for One-Class Hyperspectral Image Classification

Published:2024 Issue: Volume:62 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:

Liu Ziying¹,Zhao Hengwei¹^ORCID,Wang Xinyu²^ORCID,Wang Shaoyu³,Li Jingtao¹^ORCID,Zhong Yanfei¹^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

3. College of Agriculture and Life Sciences, Seoul National University, Seoul, South Korea

Funder

National Key Research and Development Program of China and Shandong Province, China

National Natural Science Foundation of China

LIESMARS Special Research Funding

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10522820.pdf?arnumber=10522820

Reference59 articles.

1. Rethinking Camouflaged Object Detection: Models and Datasets

2. DOCC: Deep one-class crop classification via positive and unlabeled learning for multi-modal satellite imagery

3. Detecting pine wilt disease at the pixel level from high spatial and spectral resolution UAV-borne imagery in complex forest landscapes using deep one-class classification

4. Mapping the distribution of invasive tree species using deep one-class classification in the tropical montane landscape of Kenya

5. Deep learning in environmental remote sensing: Achievements and challenges

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