Tensor partial least squares for hyperspectral image classification-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Tensor partial least squares for hyperspectral image classification

Published:2022-10-06 Issue:27 Volume:37 Page:17487-17502
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Okwuashi Onuwa¹,Ndehedehe Christopher E.²³^ORCID,Olayinka Dupe Nihinlola⁴

Affiliation:

1. Department of Geoinformatics and Surveying, University of Uyo, Uyo, Nigeria

2. School of Environment & Science, Griffith University, Nathan, Queensland, Australia

3. Australian Rivers Institute, Griffith University, Nathan, Queensland, Australia

4. Department of Surveying & Geoinformatics, University of Lagos, Lagos, Nigeria

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2129833

Reference66 articles.

1. Artifacts of different dimension reduction methods on hybrid CNN feature hierarchy for Hyperspectral Image Classification

2. Performance evaluation of selected cloud occlusion removal algorithms on remote sensing imagery

3. A comparison of a common approach to partial least squares-discriminant analysis and classical least squares in hyperspectral imaging

4. Improvement of Classification for Hyperspectral Images Based on Tensor Modeling

Cited by 6 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. A multiclass logistic regression, Markov chain, and cellular automata integration for modelling urban land use change;Physics and Chemistry of the Earth, Parts A/B/C;2024-10

2. Deep learning for hyperspectral image classification: A survey;Computer Science Review;2024-08

3. Testing the suitability of v-Support Vector Machine for hyperspectral image classification;International Journal of Image and Data Fusion;2024-05-06

4. A Lightweight, Depth-Wise Separable Convolution-Based CapsNet for Efficient Grape Leaf Disease Detection;Traitement du Signal;2023-12-30

5. Model stacking of Spatial Spectral Network with Capsule Networks for Classification of Hyper-Spectral Images;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24

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