Low-Rank Transformer for High-Resolution Hyperspectral Computational Imaging-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Low-Rank Transformer for High-Resolution Hyperspectral Computational Imaging

Published:2024-08-20 Issue: Volume: Page:
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Liu Yuanye,Dian Renwei^ORCID,Li Shutao

Funder

National Natural Science Foundation of China

Huxiang Project for Young Talents

Hunan Natural Science Foundation for Outstanding Young Scholars

Changsha Natural Science Foundation of China

Beijing Key Laboratory of Urban Spatial Information Engineering

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11263-024-02203-7.pdf

Reference66 articles.

1. Aiazzi, B., Alparone, L., Baronti, S., Garzelli, A., & Selva, M. (2006). Mtf-tailored multiscale fusion of high-resolution ms and pan imagery. Photogrammetric Engineering & Remote Sensing, 72(5), 591–596.

2. Aiazzi, B., Baronti, S., & Selva, M. (2007). Improving component substitution pansharpening through multivariate regression of ms $$+$$pan data. IEEE Transactions on Geoscience and Remote Sensing, 45(10), 3230–3239. https://doi.org/10.1109/TGRS.2007.901007

3. Akhtar, N., & Mian, A. (2020). Hyperspectral recovery from RGB images using gaussian processes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(1), 100–113. https://doi.org/10.1109/TPAMI.2018.2873729

4. Arad, B., & Ben-Shahar, O. (2016). Sparse recovery of hyperspectral signal from natural RGB images. In B. Leibe, J. Matas, N. Sebe, & M. Welling (Eds.), Computer Vision - ECCV 2016 (pp. 19–34). Springer International Publishing.

5. Cai, Y., Lin, J., Hu, X., Wang, H., Yuan, X., Zhang, Y., Timofte, R., et al. (2022). Mask-guided spectral-wise transformer for efficient hyperspectral image reconstruction. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 17502–17511

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