Near-lossless bandwith compression for radiometric data

John A. Saghri; Andrew G. Tescher

doi:10.1117/12.23511

1 November 1990 Near-lossless bandwith compression for radiometric data

John A. Saghri, Andrew G. Tescher

Proceedings Volume 1349, Applications of Digital Image Processing XIII; (1990) https://doi.org/10.1117/12.23511
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

Abstract

A bandwidth-compression scheme is presented based on spectral and spatial data correlations that can be used to transmit radiometric data collected by sensitive high-resolution sensors. The Karhunen-Loeve transformation is employed to remove spectral correlation, after which the data are treated with an adaptive discrete-cosine-transform coding technique. Coding errors are spread over entire individual data blocks after reconstruction because the coding is done in the transform domain. The technique reduces bandwidth while maintaining near-lossless coding, the ability to handle a high dynamic range, and the establishment of a maximum-coding-error upper bound. The approach is capable of some feature-classification capability, and each image is a blend of data from the entire set of spectral images. The method for bandwidth compression therefore permits the evaluation of a range of information without examining all images in the data set

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John A. Saghri and Andrew G. Tescher "Near-lossless bandwith compression for radiometric data", Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); https://doi.org/10.1117/12.23511

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KEYWORDS

Image compression

Digital image processing

Clouds

Sensors

Data compression

High dynamic range imaging

Image classification

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