Abstract
This paper describes a distributed algorithm for use in the analysis of the multi-spectral satellite images. The algorithm combines the spatial-frequency wavelet transform and the maximum selection fusion algorithm. It fuses a multi-spectral image set into a single high quality achromatic image that suits the human visual system. The algorithm operates on a distributed collection of computers that are connected through LAN. A scene of Chiangmai, Thailand, taken from the Landsat ETM+ sensor is used to assess the algorithm image quality, performance and scalability.
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Sarochawikasit, R., Wiyarat, T., Achalakul, T. (2004). The Distributed Wavelet-Based Fusion Algorithm. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_7
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DOI: https://doi.org/10.1007/978-3-540-30497-5_7
Publisher Name: Springer, Berlin, Heidelberg
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