DocumentCode :
1187945
Title :
Landsat ETM+ and SAR image fusion based on generalized intensity Modulation
Author :
Alparone, Luciano ; Baronti, Stefano ; Garzelli, Andrea ; Nencini, Filippo
Author_Institution :
Dept. of Electron. & Telecommun., Univ. of Florence, Italy
Volume :
42
Issue :
12
fYear :
2004
Firstpage :
2832
Lastpage :
2839
Abstract :
This work presents a novel multisensor image fusion algorithm, which extends panchrmomatic sharpening of multispectral (MS) data through intensity modulation to the integration of MS and synthetic aperture radar (SAR) imagery. The method relies on SAR texture, extracted by ratioing the despeckled SAR image to its low-pass approximation. SAR texture is used to modulate the generalized intensity (GI) of the MS image, which is given by a linear transform extending intensity-hue-saturation transform to an arbitrary number of bands. Before modulation, the GI is enhanced by injection of high-pass details extracted from the available panchrmomatic image by means of the "a`-trous" wavelet decomposition. The texture-modulated panchrmomatic-sharpened GI replaces the GI calculated from the resampled original MS data. Then, the inverse transform is applied to obtain the fusion product. Experimental results are presented on Landsat-7 Enhanced Thematic Mapper Plus and European Remote Sensing 2 satellite images of an urban area. The results demonstrate accurate spectral preservation on vegetated regions, bare soil, and also on textured areas (buildings and road network) where SAR texture information enhances the fusion product, which can be usefully applied for both visual analysis and classification purposes.
Keywords :
feature extraction; image texture; radar imaging; remote sensing by radar; sensor fusion; synthetic aperture radar; terrain mapping; Enhanced Thematic Mapper Plus; European Remote Sensing 2 satellite; Landsat ETM+; Landsat-7; SAR image fusion; SAR imagery; SAR texture; a-trous wavelet decomposition; bare soil; buildings; despeckled SAR image; fusion product; generalized intensity modulation; intensity-hue-saturation transform; inverse transform; linear transform; low-pass approximation; multisensor image fusion algorithm; multispectral data; multispectral imagery; panchromatic image; panchromatic sharpening; road network; spectral preservation; synthetic aperture radar; texture information; texture modulation; textured areas; urban area; vegetated regions; visual analysis; Data mining; Image fusion; Image texture analysis; Intensity modulation; Remote sensing; Roads; Satellites; Soil; Synthetic aperture radar; Urban areas;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2004.838344
Filename :
1369379
Link To Document :
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