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Landsat ETM+ and SAR image fusion based on generalized intensity Modulation
- Source :
- IEEE transactions on geoscience and remote sensing 42 (2004): 2832–2839. doi:10.1109/TGRS.2004.838344, info:cnr-pdr/source/autori:Luciano Alparone; Stefano Baronti; Andrea Garzelli; Filippo Nencini/titolo:Landsat ETM+ and SAR Image Fusion Based on Generalized Intensity Modulation/doi:10.1109%2FTGRS.2004.838344/rivista:IEEE transactions on geoscience and remote sensing/anno:2004/pagina_da:2832/pagina_a:2839/intervallo_pagine:2832–2839/volume:42
- Publication Year :
- 2004
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2004.
-
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/spl grave/-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.
- Subjects :
- Synthetic aperture radar
Computer science
Feature extraction
Multispectral image
SAR data
Landsat 7 Enhanced Thematic Mapper Plus (ETM+)
Sharpening
multispectral imagery
Multispectral pattern recognition
remote sensing
Image texture
Intensity–hue–saturation (IHS) transformation
Radar imaging
image quality
Electrical and Electronic Engineering
Remote sensing
Image fusion
Optical data
Data fusion
synthetic aperture radar (SAR) imagery
Sensor fusion
Intensity–hue–saturation (IHS) transformation, Landsat 7 Enhanced Thematic Mapper Plus (ETM+), multisensor data fusion, multispectral imagery, synthetic aperture radar (SAR) imagery, texture
Thematic Mapper
General Earth and Planetary Sciences
multisensor data fusion
texture
Subjects
Details
- ISSN :
- 01962892
- Volume :
- 42
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Geoscience and Remote Sensing
- Accession number :
- edsair.doi.dedup.....9462458b7ac47ff2e8e32098f8f3f5e0