Fusion multispectral images by fuzzy-ARTMAP

Remote sensing satellites produce images in two modes: panchromatic with very high spatial resolution, and multi-spectral mode with a spatial resolution lower. The purpose of this paper is to develop a method which combines the two modes. We built a new image with the spectral properties of the low-...

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Bibliographic Details
Main Authors: Alilat, F., Loumi, S.
Format: Conference Proceeding
Language:English
Subjects:
Computer science
data fusion
Digital image
Fuzzy-ARTmap
HIS
Image resolution
neural networks
remote sensing
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Summary:Remote sensing satellites produce images in two modes: panchromatic with very high spatial resolution, and multi-spectral mode with a spatial resolution lower. The purpose of this paper is to develop a method which combines the two modes. We built a new image with the spectral properties of the low-resolution image and the spatial detail of the high resolution image. The images used are derived from IKONOS and QuickBird satellites with a ratio four (4) for the resolution. The basic idea of this work is to develop and test the supervised fuzzy ARTMAP of adaptive resonance theory [1, 2]. In this context two network fusion methods and IHS fusion process combined with a "histogram matching" have been developed. The quality of fusion was done qualitatively and quantitatively by taking into account the two aspects: the quality of preservation of details and quality of color conservation. Although improvements are still needed, the approaches developed and put into practice the evaluations have yielded promising results.
DOI:10.1109/ICMCS.2012.6320234