Advances in image compression and automatic target recognition: 30-31 March 1989, Orlando, Florida
Andrew G. Tescher, Society of Photo-optical Instrumentation Engineers, New Mexico State University. Applied Optics Laboratory
SPIE--The International Society for Optical Engineering, 1989 - Computers - 261 pages
What people are saying - Write a review
We haven't found any reviews in the usual places.
TARGET RECOGNITION CONCEPTS
2 other sections not shown
aircraft algorithm analysis angle application approach axis bilateral symmetry block classifier cluster codebook codeword computer vision content-addressable memory Context-free Grammar correlation quadrangles corresponding cylinder rulings described distance distortion dots elements encoding error estimation example expert system extraction feature extraction filter frames function horizontal Hough transform IEEE IEEE Trans image compression Image Processing implemented input vectors invariance iteration kernal leading edge linear macrocode matching measures method motion Multibus neighborhood neural network nodes notches object detection operation orientation output parallel parameters pattern recognition perceptual grouping pixel plane points problem processor PSNR quad-tree random range image reconstructed region relaxation representation roadmark rotation samples segmentation sensor sequence shown in Figure simulation six-DOF skewed symmetry SPOT satellite structure symmetry detection target recognition TCVQ technique template texture threshold tracking trellis truth value vector quantization vertical visual window