Feature discrimination and detection probability in synthetic aperture radar imaging systemImages obtained using synthetic aperture radar (SAR) systems can only represent the intensities of resolution cells in the scene of interest probabilistically since radar receiver noise and Rayleigh scattering of the transmitted radiation are always present. Consequently, when features to be identified differ only by their contribution to the mean power of the radar return, discrimination can be treated by detection theory. In this paper, we develop a 'sufficient statistic' for discriminating between competing features and compare it with some suboptimal methods frequently used. Discrimination is measured by probability of detection error and depends on number of samples or 'looks', signal-to-noise ratio (SNR), and ratio of mean power returns from the competing features. Our results show discrimination and image quality rapidly saturate with SNR (very small improvement for SNR not less than 10 dB) but continue to improve with increasing number of looks.
Document ID
19790029368
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Lipes, R. G. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Butman, S. A. (California Institute of Technology, Jet Propulsion Laboratory, Pasadena Calif., United States)
Date Acquired
August 9, 2013
Publication Date
January 1, 1977
Subject Category
Instrumentation And Photography
Meeting Information
Meeting: In: NTC ''77; National Telecommunications Conference