Automatic Object Recognition, Volume 3SPIE Optical Engineering Press, 1993 - Image processing |
Contents
Joint rangeangle beamforming with application to estimation of target density functions | 14 |
Frequencydomain texture features for classifying SAR images 196003 | 21 |
Fractal detection algorithm for a LADAR sensor 196004 | 33 |
Copyright | |
35 other sections not shown
Other editions - View all
Common terms and phrases
acoustic algorithm amplitude coefficients analysis angular applied approach approximate autocorrelation azimuth backscattered Bayes beamforming binary JTC bistatic Burg calculated circular-Mellin classifier components computation correlation corresponding density detection determined elastic entropy equation estimates exponential extraction Figure filter Fourier transform fractal fringe-adjusted Gaussian given Green's function IEEE imagery implementation impulse response incident input invariant ISAR likelihood function linear matrix measurement method mode motion compensation mutual information neural network noise object observed obtained operator optical optical correlator output parameters peak performance pixel plane plot polarization problem pulse radar target range profile rate-distortion function ratio resolution resonance rotation samples scale scattered field scattering centers sensor shell theory shown simulation solution spatial spectral spectrum spherical shell surface T-matrix target recognition techniques template texture TLS-Prony values variance vector velocity wave waveform waveguide wavelet transform window