Class-guided coupled dictionary learning for multispectral-hyperspectral remote sensing image collaborative classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Engineering,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s11431-021-1978-6.pdf
Reference53 articles.
1. Hong D, Gao L, Yokoya N, et al. More diverse means better: Multimodal deep learning meets remote-sensing imagery classification. IEEE Trans Geosci Remote Sens, 2021, 59: 4340–4354
2. Adão T, Hruška J, Pádua L, et al. Hyperspectral imaging: A review on UAV-based sensors, data processing and applications for agriculture and forestry. Remote Sens, 2017, 9: 1110
3. Gao A F, Rasmussen B, Kulits P, et al. Generalized unsupervised clustering of hyperspectral images of geological targets in the near infrared. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 2021. 4294–4303
4. Gao L, Yao D, Li Q, et al. A new low-rank representation based hyperspectral image denoising method for mineral mapping. Remote Sens, 2017, 9: 1145
5. Castaldi F, Palombo A, Santini F, et al. Evaluation of the potential of the current and forthcoming multispectral and hyperspectral imagers to estimate soil texture and organic carbon. Remote Sens Environ, 2016, 179: 54–65
Cited by 15 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. Adaptive Feature Exchange Network with Complementary Advantages for Cooperative Classification of Hyperspectral and Multispectral Imagery;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
2. A Multi-Hyperspectral Image Collaborative Mapping Model Based on Adaptive Learning for Fine Classification;Remote Sensing;2024-04-14
3. Multi-sensor multispectral reconstruction framework based on projection and reconstruction;Science China Information Sciences;2024-02-26
4. Open-Set Cross-Domain Hyperspectral Image Classification Based on Manifold Mapping Alignment;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
5. FedFusion: Manifold-Driven Federated Learning for Multi-Satellite and Multi-Modality Fusion;IEEE Transactions on Geoscience and Remote Sensing;2024
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