Multispectral Pansharpening Based on High-Pass Modulation Regression-Reference-Cited by-同舟云学术

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Multispectral Pansharpening Based on High-Pass Modulation Regression

Published:2022-07-17 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Yao Hong-Yu¹,Wang Peng¹,Shen Xun¹,Shi Lixin²,Zhao Chunlei²

Affiliation:

1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics,Nanjing,China,210016

2. Meteorological Institute of Hebei Province,Key Laboratory of Meteorology and Ecological Environment of Hebei Province,Shijiazhuang,China

Funder

Fundamental Research Funds for the Central Universities

Nanjing University of Aeronautics and Astronautics

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883745.pdf?arnumber=9883745

Reference18 articles.

1. Superresolution Land Cover Mapping Based on Pixel-, Subpixel-, and Superpixel-Scale Spatial Dependence With Pansharpening Technique

2. Haze Correction for Contrast-Based Multispectral Pansharpening

3. Contrast and Error-Based Fusion Schemes for Multispectral Image Pansharpening

4. Full Scale Regression-Based Injection Coefficients for Panchromatic Sharpening

5. Pansharpening Based on Semiblind Deconvolution

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