GPU-based fast hyperspectral image classification using joint sparse representation with spectral consistency constraint-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

GPU-based fast hyperspectral image classification using joint sparse representation with spectral consistency constraint

Published:2018-05-07 Issue:3 Volume:15 Page:463-475
ISSN:1861-8200
Container-title:Journal of Real-Time Image Processing
language:en
Short-container-title:J Real-Time Image Proc

Author:

Pan Lei,Li Heng-Chao,Ni Jun,Chen Chen,Chen Xiang-Dong,Du Qian

Funder

the National Natural Science Foundation of China

the Frontier Intersection Basic Research Project for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Link

http://link.springer.com/article/10.1007/s11554-018-0775-y/fulltext.html

Reference31 articles.

1. Tarabalka, Y., Fauvel, M., Chanussot, J., Benediktsson, J.A.: SVM- and MRF-based method for accurate classification of hyperspectral images. IEEE Geosci. Remote Sens. Lett. 7(4), 736–740 (2010)

2. Camps-Valls, G., Gomez-Chova, L., Muñoz-Marí, J., Vila-Francés, J., Calpe-Maravilla, J.: Composite kernels for hyperspectral image classification. IEEE Geosci. Remote Sens. Lett. 3(1), 93–97 (2006)

3. Guo, X., Huang, X., Zhang, L.F., Zhang, L.P., Plaza, A., Benediktsson, J.A.: Support tensor machines for classification of hyperspectral remote sensing imagery. IEEE Trans. Geosci. Remote Sens. 54(6), 3248–3264 (2016)

4. Khodadadzadeh, M., Li, J., Plaza, A., Ghassemian, H., Bioucis-Dias, J.M., Li, X.: Spectral-spatial classification of hyperspectral data using local and global probablities for mixed pixel characterization. IEEE Trans. Geosci. Remote Sens. 52(10), 6298–6314 (2014)

5. Moser, G., Serpico, S.B.: Combining support vector machines and markov random fields in an integrated framework for contextual image classification. IEEE Trans. Geosci. Remote Sens. 51(5), 2734–2754 (2013)

Cited by 5 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. Parallel and Distributed Computing for Anomaly Detection From Hyperspectral Remote Sensing Imagery;Proceedings of the IEEE;2021-08

2. Multi-GPU Implementation of Nearest-Regularized Subspace Classifier for Hyperspectral Image Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2020

3. Multi-GPU Based Parallel Design of the Ant Colony Optimization Algorithm for Endmember Extraction from Hyperspectral Images;Sensors;2019-01-31

4. Parallel supervised land-cover classification system for hyperspectral and multispectral images;Journal of Real-Time Image Processing;2018-10

5. Special issue on advances in real-time image processing for remote sensing;Journal of Real-Time Image Processing;2018-10

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