DocumentCode :
965395
Title :
Hue Adjustment to IHS Pan-Sharpened IKONOS Imagery for Vegetation Enhancement
Author :
Malpica, Jose A.
Author_Institution :
Dept. of Math., Univ. of Alcala, Madrid
Volume :
4
Issue :
1
fYear :
2007
Firstpage :
27
Lastpage :
31
Abstract :
Fused or pan-sharpened IKONOS images are invaluable to the visual interpretation of large-area-scale applications. Frequently, the paramount objective is merely to obtain an image for visualization purposes, with no further image processing or analysis in mind. In such cases, the fused image should resemble reality as much as possible, with objects represented by their true colors at surface reflectance. In this letter, a technique for image fusion of IKONOS, or similar imagery, is proposed for when the main purpose of a specific image is vegetation visualization. The technique consists of a hue spectral adjustment scheme integrated with an intensity-hue-saturation transformation. Experimental evidence to support the technique is provided with a subset of IKONOS data available from the University of Alcalaacute campus. In the final fused image, deciduous and evergreen vegetation can be clearly differentiated. The high quality of the fused image can also be appreciated in relation to other types of cartographic objects; the quantitative evaluation of spectral and spatial information results in a high color correlation and excellent spatial information quality
Keywords :
atmospheric optics; data visualisation; image colour analysis; image fusion; vegetation mapping; IHS method; IKONOS imagery; cartographic objects; color correlation; deciduous vegetation; evergreen vegetation; hue adjustment; hue spectral adjustment scheme; image analysis; image fusion; image processing; intensity-hue-saturation method; intensity-hue-saturation transformation; pan sharpened image; spatial information quality; spectral information; surface reflectance; vegetation enhancement; vegetation visualization; Data mining; Data visualization; Image analysis; Image fusion; Image processing; Reflectivity; Remote sensing; Spatial resolution; Urban planning; Vegetation mapping; IKONOS imagery; image fusion; intensity–hue–saturation (IHS) transformations; vegetation enhancement;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2006.883523
Filename :
4063303
Link To Document :
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