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5 February 2004 Radar and panchromatic image fusion by means of the a trous algorithm
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Radar imaging provides an important advantage for the earth change observation independently of weather conditions. However, the recognition of some features as roads is more difficult leading thus to an ambiguous interpretation of the scene. In order to compensate the lack of features, the high spatial resolution panchromatic image is often used as a complementary data for improvng the quality of the radar image. The basic idea consists to extract features (details) from the panchromatic image by means of the High Pass Filter (HPF) in order to incorporate into the radar image. However, the difficult choice of the size and shape of the filter does not allow enhancing significantly the lack of features into the radar image. To resolve this problem, we propose the use of the a` trous algorithm as an alternative approach for extracting features from the panchromatic image. Its advantage lies to the local characterization of features by the wavelet coefficients. The radar-panchromatic composite image produced from the a` trous algorithm gives a better detection of lines, edges and field boundaries compared to the HPF method.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Youcef Chibani "Radar and panchromatic image fusion by means of the a trous algorithm", Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004);

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