A spatially correlated image fusion algorithm for multispectral remotely sensed imagery

Shao Ang Chen, Hsuan Ren

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication29th Asian Conference on Remote Sensing 2008, ACRS 2008
Pages1477-1482
Number of pages6
StatePublished - 2008
Event29th Asian Conference on Remote Sensing 2008, ACRS 2008 - Colombo, Sri Lanka
Duration: 10 Nov 200814 Nov 2008

Publication series

Name29th Asian Conference on Remote Sensing 2008, ACRS 2008
Volume3

Conference

Conference29th Asian Conference on Remote Sensing 2008, ACRS 2008
Country/TerritorySri Lanka
CityColombo
Period10/11/0814/11/08

Keywords

  • Fusion
  • Intensity-Hue-Saturation (IHS)
  • Multispectral
  • Tradeoff parameter

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