Classification of hyperspectral and LIDAR data using extinction profiles with feature fusion-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Classification of hyperspectral and LIDAR data using extinction profiles with feature fusion

Published:2017-06-14 Issue:10 Volume:8 Page:957-966
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Zhang Mengmeng¹,Ghamisi Pedram²³,Li Wei¹

Affiliation:

1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

2. Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Weßling, Germany

3. Signal Processing in Earth Observation, Technische Universität München (TUM), Munich, Germany

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2017.1335902

Reference20 articles.

1. Kernel-based methods for hyperspectral image classification

2. Composite Kernels for Hyperspectral Image Classification

3. Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest

4. Hyperspectral and lidar data integration and classification

5. Extinction Profiles for the Classification of Remote Sensing Data

Cited by 30 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 Joint Convolutional Cross ViT Network for Hyperspectral and Light Detection and Ranging Fusion Classification;Remote Sensing;2024-01-26

2. Fusion of Multispectral and Radar Images to Enhance Classification Accuracy and Estimate the Area under Various Crops Cultivation;J AGR MACH-IRAN;2023

3. Mutually Beneficial Transformer for Multimodal Data Fusion;IEEE Transactions on Circuits and Systems for Video Technology;2023-12

4. Joint Classification of Hyperspectral and LiDAR Data Using Binary-Tree Transformer Network;Remote Sensing;2023-05-23

5. Collaborative Contrastive Learning for Hyperspectral and LiDAR Classification;IEEE Transactions on Geoscience and Remote Sensing;2023

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