Superpixel-Based Adaptive Kernel Selection for Angular Effect Normalization of Remote Sensing Images With Kernel Learning-Reference-Cited by-同舟云学术

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Superpixel-Based Adaptive Kernel Selection for Angular Effect Normalization of Remote Sensing Images With Kernel Learning

Published:2017-08 Issue:8 Volume:55 Page:4262-4271
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Guo Yiqing^ORCID,Jia Xiuping,Paull David

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/7987135/07907245.pdf?arnumber=7907245

Cited by 4 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

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2. A Comprehensive Correction Method for Radiation Distortion of Multi-Strip Airborne Hyperspectral Images;Remote Sensing;2023-03-29

3. A Kernel-Driven BRDF Approach to Correct Airborne Hyperspectral Imagery over Forested Areas with Rugged Topography;Remote Sensing;2020-01-29

4. Effective Sequential Classifier Training for SVM-Based Multitemporal Remote Sensing Image Classification;IEEE Transactions on Image Processing;2018-06

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