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Record 2 of 1529
Testing of a Composite Wavelet Filter to Enhance Automated Target Recognition in SONAR
External Online Source: hdl:2014/43740
Author and Affiliation:
Chiang, Jeffrey N.(California Univ., Los Angeles, CA, United States)
Abstract: Automated Target Recognition (ATR) systems aim to automate target detection, recognition, and tracking. The current project applies a JPL ATR system to low resolution SONAR and camera videos taken from Unmanned Underwater Vehicles (UUVs). These SONAR images are inherently noisy and difficult to interpret, and pictures taken underwater are unreliable due to murkiness and inconsistent lighting. The ATR system breaks target recognition into three stages: 1) Videos of both SONAR and camera footage are broken into frames and preprocessed to enhance images and detect Regions of Interest (ROIs). 2) Features are extracted from these ROIs in preparation for classification. 3) ROIs are classified as true or false positives using a standard Neural Network based on the extracted features. Several preprocessing, feature extraction, and training methods are tested and discussed in this report.
Publication Date: Aug 01, 2011
Document ID:
20150006587
(Acquired Apr 24, 2015)
Subject Category: INSTRUMENTATION AND PHOTOGRAPHY
Document Type: Technical Report
Publication Information: (SEE 20130010573)
Financial Sponsor: Jet Propulsion Lab., California Inst. of Tech.; Pasadena, CA, United States
Organization Source: Jet Propulsion Lab., California Inst. of Tech.; Pasadena, CA, United States
Description: 8p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
NASA Terms: TARGET RECOGNITION; AUTOMATIC CONTROL; WAVELET ANALYSIS; NEURAL NETS; CLASSIFICATIONS; SONAR; TARGET ACQUISITION; PATTERN RECOGNITION; DETECTION; CAMERAS
Other Descriptors: AUTOMATED TARGET RECOGNITION (ATR); IMAGE PROCESSING
Miscellaneous Notes: NASA Undergraduate Student Research Program (USRP), Pasadena, California, August 2011
Availability Source: Other Sources
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