Robust Locally Weighted Regression for Superresolution Enhancement of Multi-Angle Remote Sensing Imagery-Reference-Cited by-同舟云学术

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Robust Locally Weighted Regression for Superresolution Enhancement of Multi-Angle Remote Sensing Imagery

Published:2014-04 Issue:4 Volume:7 Page:1357-1371
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Ma Jianglin,Chan Jonathan Cheung-Wai,Canters Frank

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/6803891/06784077.pdf?arnumber=6784077

Cited by 12 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. A Super-Resolution Algorithm Based on Hybrid Network for Multi-Channel Remote Sensing Images;Remote Sensing;2023-07-24

2. Dual-Task Interactive Learning for Unsupervised Spatio-Temporal–Spectral Fusion of Remote Sensing Images;IEEE Transactions on Geoscience and Remote Sensing;2023

3. Integrated fusion framework based on semicoupled sparse tensor factorization for spatio-temporal–spectral fusion of remote sensing images;Information Fusion;2021-01

4. Robust Locally Weighted Regression for Profile Measurement of Magnesium Alloy Tube in Hot Bending Process;Mathematical Problems in Engineering;2020-05-22

5. Unified Framework for the Joint Super-Resolution and Registration of Multiangle Multi/Hyperspectral Remote Sensing Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2020

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