Title :
Compressed representation of a backscatter ionogram database using Karhunen-Loeve techniques
Author_Institution :
Defence Sci. & Technol. Organ., Melbourne, Vic., Australia
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;
Conference_Titel :
Image Processing and its Applications, 1995., Fifth International Conference on
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-642-3
DOI :
10.1049/cp:19950724
