Paper
17 June 1996 Evaluation of onboard hyperspectral-image-compression techniques for a parallel push-broom sensor
Scott D. Briles
Author Affiliations +
Abstract
A single hyperspectral imaging sensor can produce frames with spatially-continuous rows of differing, but adjacent, spectral wavelength. If the frame sample-rate of the sensor is such that subsequent hyperspectral frames are spatially shifted by one row, then the sensor can be thought of as a parallel (in wavelength) push-broom sensor. An examination of data compression techniques for such a sensor is presented. The compression techniques are intended to be implemented onboard a space-based platform and to have implementation speeds that match the date rate of the sensor. Data partitions examined extend from individually operating on a single hyperspectral frame to operating on a data cube comprising the two spatial axes and the spectral axis. Compression algorithms investigated utilize JPEG-based image compression, wavelet-based compression and differential pulse code modulation. Algorithm performance is quantitatively presented in terms of root-mean-squared error and root-mean-squared correlation-coefficient error. Implementation issues are considered in algorithm development.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Scott D. Briles "Evaluation of onboard hyperspectral-image-compression techniques for a parallel push-broom sensor", Proc. SPIE 2758, Algorithms for Multispectral and Hyperspectral Imagery II, (17 June 1996); https://doi.org/10.1117/12.243228
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KEYWORDS
Image compression

Sensors

Discrete wavelet transforms

Image sensors

Quantization

Linear filtering

Optical filters

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