Pansharpening with transform‐based gradient transferring model
Author:
Affiliation:
1. School of Computer Science, Nanjing University of Posts and TelecommunicationsNanjingPeople's Republic of China
2. Jiangsu Key Laboratory of Big Data Security & Intelligent ProcessingNanjingPeople's Republic of China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.6080
Reference32 articles.
1. A survey of pansharpening methods with a new band‐decoupled variational model;Duran J.;ISPRS J. Photogram. Remote Sens.,2017
2. A Critical Comparison Among Pansharpening Algorithms
3. Pansharpening scheme using filtering in two‐dimensional discrete fractional Fourier transform
4. Pansharpening approach using Hilbert vibration decomposition
5. Comparison of three different methods to merge multiresolution and multispectral data‐ landsat TM and SPOT panchromatic;Chavez P.;Photogramm. Eng. Remote Sens.,1991
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