An introduction to parallel programming
An introduction to parallel programming
Multisensor image fusion using the wavelet transform
Graphical Models and Image Processing
Mathematical Techniques in Multisensor Data Fusion
Mathematical Techniques in Multisensor Data Fusion
Remote Sensing Digital Image Analysis: An Introduction
Remote Sensing Digital Image Analysis: An Introduction
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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.