Terrain feature identification by modeling radar image statistics

Author

Bors, Adrian G. ; Hancock, Edwin R. ; Wilson, Richard C.

Author_Institution

Dept. of Comput. Sci., York Univ., UK

Volume

1

fYear

2000

fDate

2000

Firstpage

721

Abstract

We propose a new statistical model for SAR images. According to this model, the SAR image amplitude follows a product of Rayleigh and Bessel functions. We derive the maximum likelihood feature detector for extracting terrain features from synthetic aperture radar (SAR) images. The terrain features are classified as ridges and ravines according to their statistical properties and surrounding neighborhood. These salient features are used as constraints for estimating the SAR terrain surface

Keywords

Bessel functions; feature extraction; image classification; maximum likelihood detection; radar imaging; statistical analysis; synthetic aperture radar; Rayleigh-Bessel distribution; Rayleigh-Bessel functions product; SAR image amplitude; SAR terrain surface; maximum likelihood feature detector; radar image statistics modeling; ravines; ridges; shape-from-shading; statistical model; statistical properties; surface orientation recovery; synthetic aperture radar; terrain feature identification; terrain features classification; terrain features extraction; Detectors; Distribution functions; Feature extraction; Image edge detection; Maximum likelihood detection; Radar detection; Radar imaging; Statistical distributions; Statistics; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.901060

Filename

901060