The Application of Vector Quantization to Image Compression for Satellite Imaging Systems

Over the past few years it has become more and more common to use satellites for imaging applications. The imaging may be performed in the visual realm using cameras, or may infrared or electro-optical using multi-sensor arrays. One thing that all these imaging techniques have in common is the large amount of data that must be stored and/or transmitted per image. If many images are being gathered over a relatively short time, then storage and power requirements may become too large for small satellite systems.

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Publication Details

Journal
Digital Commons - USU (Utah State University)
Published
2025-09-15
DOI
https://doi.org/10.26077/vw9k-t779
Primary Topic
Advanced Data Compression Techniques
Type
article
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article

The Application of Vector Quantization to Image Compression for Satellite Imaging Systems

Paul Israelsen, Richard W. Harris
Digital Commons - USU (Utah State University)
Advanced Data Compression Techniques
article

The Application of Vector Quantization to Image Compression for Satellite Imaging Systems

Paul Israelsen, Richard W. Harris
article en

Abstract

Over the past few years it has become more and more common to use satellites for imaging applications. The imaging may be performed in the visual realm using cameras, or may infrared or electro-optical using multi-sensor arrays. One thing that all these imaging techniques have in common is the large amount of data that must be stored and/or transmitted per image. If many images are being gathered over a relatively short time, then storage and power requirements may become too large for small satellite systems.

Digital Commons - USU (Utah State University)
Utah State University (US)
Advanced Data Compression Techniques
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