Title :
Spectral representation of irregularly sampled radar image sequences
Author_Institution :
High Frequency Radar Div., Defence Sci. & Technol. Organ., Salisbury, SA, Australia
Abstract :
Irregularly sampled imaged data is frequently encountered in remote sensing applications. An algorithm is presented here for the spectral characterization of an irregularly sampled image sequence. Images are transformed to a low dimensional feature space using an iterative Karhunen-Loeve technique, and multivariate spectra for the resulting sequence of feature vectors estimated using the Lomb periodogram. The utility of the algorithm for data analysis and prediction is demonstrated by application to a sequence of backscatter ionograms recorded at Alice Springs in central Australia, as part of the Jindalee over-the-horizon radar program
Keywords :
HF radio propagation; backscatter; feature extraction; image representation; image sampling; image sequences; ionospheric electromagnetic wave propagation; iterative methods; radar imaging; remote sensing by radar; spectral analysis; transforms; Alice Springs; Australia; HF radar; HF radio propagation; Jindalee over-the-horizon radar program; Lomb periodogram; backscatter ionograms; data analysis; feature vectors; irregularly sampled image sequence; iterative Karhunen-Loeve technique; low dimensional feature space; multivariate spectra; prediction; radar image sequences; remote sensing; spectral representation; Australia; Backscatter; Data analysis; Image sequences; Iterative algorithms; Radar applications; Radar imaging; Radar remote sensing; Remote sensing; Springs;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560941
