New sparsity based pansharpening algorithms for hyperspectral images-Reference-Cited by-同舟云学术

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New sparsity based pansharpening algorithms for hyperspectral images

Published:2017-10 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)
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Author:

Kwan Chiman,Budavari Bence,Dao Minh,Zhou Jin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8234833/8248967/08248993.pdf?arnumber=8248993

Cited by 11 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. Detection of Multitemporal Changes with Artificial Neural Network-Based Change Detection Algorithm Using Hyperspectral Dataset;Remote Sensing;2023-02-27

2. A comprehensive investigation of image fusion methods for spatial enhancement of hyperspectral images;International Journal of Remote Sensing;2022-06-03

3. Perceptually lossless compression of Mastcam images with error recovery;Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII;2019-05-07

4. Remote Sensing Performance Enhancement in Hyperspectral Images;Sensors;2018-10-23

5. Perceptually Lossless Video Compression with Error Concealment;Proceedings of the 2nd International Conference on Vision, Image and Signal Processing;2018-08-27

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