Fusion of microwave and optical images through intensity modulation by SAR textural features

Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Andrea Garzelli; Filippo Nencini

doi:10.1117/12.628299

12 October 2005 Fusion of microwave and optical images through intensity modulation by SAR textural features

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli, Filippo Nencini

Proceedings Volume 5980, SAR Image Analysis, Modeling, and Techniques VII; 59800B (2005) https://doi.org/10.1117/12.628299
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

Abstract

This paper presents a novel multisensor image fusion algorithm, which extends pan-sharpening of multispectral (MS) data through intensity modulation to the integration of MS and SAR imagery. The method relies on SAR texture, extracted by ratioing a map of a SAR feature to its lowpass 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 (IHS) transform to an arbitrary number of bands. Before modulation, the GI is enhanced by injection of highpass details extracted from the available Pan image by means of the "à-trous" wavelet decomposition. The texture-modulated pan-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/ETM+ and ERS-2 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.

Citation Download Citation

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli, and Filippo Nencini "Fusion of microwave and optical images through intensity modulation by SAR textural features", Proc. SPIE 5980, SAR Image Analysis, Modeling, and Techniques VII, 59800B (12 October 2005); https://doi.org/10.1117/12.628299

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KEYWORDS

Image fusion

Synthetic aperture radar

Modulation

Data fusion

Earth observing sensors

Landsat

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