DocumentCode :
779714
Title :
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
Link To Document :
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