Lidar detection of underwater objects using a neuro-SVM-based architecture

IEEE Transactions on Neural Networks

Volumn 17, Issue 3, 2006, Pages 717-731

  Mitra, Vikramjit ^a   Wang, Chia Jiu ^b   Banerjee, Satarupa ^c  

^a UNIVERSITY OF MARYLAND   (United States)

^b University of Colorado Colorado Springs   (United States)

^c VILLANOVA UNIVERSITY   (United States)

Author keywords

Fast Fourier transform (FFT); Lidar based object detection; Linear prediction; Neural network classification; Signal processing based feature extraction; Support vector machines; Underwater object detection

Indexed keywords

BACKSCATTERING; EDGE DETECTION; FAST FOURIER TRANSFORMS; FEATURE EXTRACTION; IMAGE CODING; LASER APPLICATIONS; LEARNING SYSTEMS; OBJECT RECOGNITION; POLYNOMIAL APPROXIMATION; RADIAL BASIS FUNCTION NETWORKS; UNDERWATER IMAGING; VECTOR QUANTIZATION;

BAYESIAN CLASSIFIER; LIDAR DATA CLASSIFICATION; LIDAR-BASED OBJECT DETECTION; LIGHT DETECTION AND RANGING; LINEAR PREDICTION; LINEAR PREDICTIVE CODING; QUADRATIC CLASSIFIER; SIGNAL PROCESSING-BASED FEATURE EXTRACTION; SUPPORT VECTOR MACHINE; UNDERWATER OBJECT DETECTION;

MULTILAYER NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; LASER; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TELECOMMUNICATION; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; LASERS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; RADAR; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33646518768     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2006.873279     Document Type: Article

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