Band selection using spectral and spatial information in particle swarm optimization for hyperspectral image classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-06821-6.pdf
Reference49 articles.
1. Abidi MH, Alkhalefah H, Moiduddin K, Alazab M, Mohammed MK, Ameen W, Gadekallu TR (2021) Optimal 5G network slicing using machine learning and deep learning concepts. Comput Standards & Interfaces 76:103518. https://doi.org/10.1016/j.csi.2021.103518
2. Alipourfard T, Arefi H, Mahmoudi S A (2018) Novel deep learning framework by combination of subspace-based feature extraction and convolutional neural networks for hyperspectral images classification. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018, pp. 4780–4783, doi: https://doi.org/10.1109/IGARSS.2018.8518956
3. Banerjee BP, Raval S (2021) A particle swarm optimization based approach to pre-tune programmable hyperspectral sensors. Remote Sens 13(16):3295. https://doi.org/10.3390/rs13163295
4. Bevilacqua M, Berthoumieu Y (2017) Unsupervised hyperspectral band selection via multi-feature information-maximization clustering. In: Image Processing (ICIP), 2017 International Conference on (pp. 540–544). IEEE
5. Cao X, Han J, Yang S, Tao D, Jiao L (2016) Band Selection and Evaluation with Spatial Information. Int J Remote Sens 37(19):4501–4520. https://doi.org/10.1080/01431161.2016.1214301
Cited by 26 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. An adaptive evolutionary-reinforcement learning algorithm for hyperspectral band selection;Expert Systems with Applications;2024-10
2. Component adaptive sparse representation for hyperspectral image classification;Soft Computing;2024-07-26
3. A Novel Technique for Semantic Segmentation of Hyperspectral Images Using Multi-View Features;Applied Sciences;2024-06-05
4. Hyperspectral image classification based on superpixel merging and broad learning system;The Photogrammetric Record;2024-05-09
5. Mayfly algorithm-based semi-supervised band selection with enhanced bitonic filter for spectral-spatial hyperspectral image classification;International Journal of Remote Sensing;2024-03-11
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