Work

Low-Complexity Lossless Compression of Hyperspectral Imagery via Adaptive Filtering

Year: 2005

Type: article

Abstract: A low-complexity, adaptive predictive technique for lossless compression of hyperspectral data is presented. The technique relies on the sign algorithm from the repertoire of adaptive filtering. The compression effectiveness obtained with the technique is competitive with that of the best of previously described techniques with similar complexity.

Source: NASA Technical Reports Server (NASA)

Author: M. Klimesh

Institution: Jet Propulsion Laboratory

Language: English

Topic: Advanced Data Compression Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1496383910

FWCI:

Cites: 23

Cited by: 60

Related to: 10