Compressed representation of a backscatter ionogram database using Karhunen-Loeve techniques

Author

Percival, D.J.

Author_Institution

Defence Sci. & Technol. Organ., Melbourne, Vic., Australia

fYear

1995

fDate

4-6 Jul 1995

Firstpage

574

Lastpage

578

Abstract

An algorithm for the compression of a large database of 6×10 ⁵ backscatter ionograms is presented, based on an iterative implementation of the Karhunen-Loeve transform. The algorithm removes database redundancy by representing images as vectors in a low dimensional “feature space” where image feature dynamics may be efficiently studied. The iterative algorithm ensures that the feature space spans the image variation manifest in the database, guaranteeing that every image may be reconstructed from its feature vector to within a preset accuracy threshold

Keywords

HF radio propagation; backscatter; data compression; image coding; image reconstruction; image representation; ionospheric electromagnetic wave propagation; iterative methods; remote sensing; transform coding; transforms; visual databases; HF propagation; Karhunen-Loeve transform; accuracy threshold; backscatter ionogram database; compressed representation; database redundancy removal; feature space; feature vector; high frequency propagation conditions; image feature dynamics; image reconstruction; image representation; image variation; ionospheric propagation; iterative algorithm; low dimensional feature space; remotely sensed images; vectors;

fLanguage

English

Publisher

iet

Conference_Titel

Image Processing and its Applications, 1995., Fifth International Conference on

Conference_Location

Edinburgh

Print_ISBN

0-85296-642-3

Type

conf

DOI

10.1049/cp:19950724

Filename

465484