Best Tradeoff for High-Resolution Image Fusion to Preserve Spatial Details and Minimize Color Distortion

Author

Tu, Te-Ming ; Cheng, Wen-Chun ; Chang, Chien-Ping ; Huang, Ping S. ; Chang, Jyh-Chian

Author_Institution

Dept. of Electr. & Electron. Eng., Nat. Defense Univ., Taoyuan

Volume

4

Issue

2

fYear

2007

fDate

4/1/2007 12:00:00 AM

Firstpage

302

Lastpage

306

Abstract

The fast intensity-hue-saturation (IHS) methods can quickly merge massive volumes of data from new satellite imagery. To minimize the color distortion from IHS fusion, Choi used a tradeoff parameter in his new fast IHS approach to control the spatial and spectral resolution of the fused image. However, the method is not general and requires manual adjustment of the tradeoff parameter in order to keep spatial details while preserving spectral characteristics. To tackle this problem, a modified approach that is a tunable IHS-Brovey method is presented in this letter. Experimental results demonstrate that the proposed technique can provide significant improvements over the original method, that is, to achieve a best tradeoff for spatial details and color distortion

Keywords

geophysical signal processing; geophysical techniques; image colour analysis; remote sensing; sensor fusion; IKONOS; color distortion minimization; data merging; high-resolution image fusion; intensity-hue-saturation method; satellite imagery; spatial detail preservation; spatial resolution; spectral resolution; tunable IHS-Brovey method; Automobiles; Image fusion; Image resolution; Infrared imaging; Infrared spectra; Roads; Satellites; Spatial resolution; IKONOS; image fusion; intensity-hue-saturation (IHS) method;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2007.894143

Filename

4156174