@inproceedings{d51cb1c8561141c49ef0873ed28c74c2,
title = "A spatially correlated image fusion algorithm for multispectral remotely sensed imagery",
abstract = "Image fusion is a very useful method to combine the spectral information from multispectral images with the high spatial resolution panchromatic images to improve the spatial resolution of multispectral images. The fast Intensity-Hue-Saturation (IHS) fusion technique proposed by Tu is based on color systems transformation between RGB and IHS color spaces [2]. In 2006, Choi improved this method by introducing a tradeoff parameter which can control spatial resolution of fusion result [1]. But Choi's method only uses single parameter for all pixels. In this study, we use the correlation of each pixel in multispectral image to create a transform, and assign tradeoff parameter for each pixel by a linear transform to reach minimum mean squared error between the fused image and the origin one.",
keywords = "Fusion, Intensity-Hue-Saturation (IHS), Multispectral, Tradeoff parameter",
author = "Chen, {Shao Ang} and Hsuan Ren",
year = "2008",
language = "???core.languages.en_GB???",
isbn = "9781615676156",
series = "29th Asian Conference on Remote Sensing 2008, ACRS 2008",
pages = "1477--1482",
booktitle = "29th Asian Conference on Remote Sensing 2008, ACRS 2008",
note = "29th Asian Conference on Remote Sensing 2008, ACRS 2008 ; Conference date: 10-11-2008 Through 14-11-2008",
}