A processor for compression of multi-spectral image data on-board remote sensing satellites

Computer Science

Scientific paper

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Data Compression, Image Processing, Multispectral Photography, Remote Sensors, Satellite-Borne Photography, Algorithms, Channel Capacity, Data Reduction, Data Transmission, Energy Consumption, Ground Stations, Multichannel Communication, Statistical Analysis

Scientific paper

Remote sensing satellites with multi-spectral image sensors generate very high rate data. A processor for the compression of these data is presented using a clustering algorithm. The information transmitted to the ground is, for each line, an address map containing the cluster number to which each pixel belongs, and a dictionary containing the cluster centers. A compression ratio of 8.7 is achieved when the image consists of 6 spectral channels. The power consumption of a processor for an image 6600 pixels wide with a ground resolution of 30 metres and 6 channels is about 112 W for an off-the-shelf implementation. This can be reduced to about 70 W using suitable on-board technology.

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