Target detection and classification at Kernel Blitz 1997 using spectral imagery
Sanders, Jeffrey D.
Olsen, Richard Christopher
Cleary, David D.
MetadataShow full item record
Data collected from the Hyperspectral Digital Imagery Collection Experiment (HYDICE) were analyzed in this thesis to determine the feasibility of wide area detection and classification of target materials in the visible to short wave infrared region. This study used detection algorithms such as spectral angle mapper and matched filter for target detection. Parallelepiped and Maximum Likelihood routines were used to classify the image data for subsequent analyses and comparisons. Effects on data due to altitude variation of the sensor were analyzed using histograms, differencing, and principal component transforms. Data images of the Camp Pendleton airfield used for comparison analyses were obtained from two different altitudes, 5,000 feet and 10,000 feet. Results showed target detection and classification had no strong dependence on altitude.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Showing items related by title, author, creator and subject.
Liu, Fu-Chau. (Monterey, California. Naval Postgraduate School, 1996-06);This thesis addresses the evaluation of the apparent target background temperature difference (Delta Tapp) at maximum range and compares ATapp with MDTD/MRTD of a typical FLIR system. The atmospheric propagation code ...
Fay, Matthew Edward. (Monterey, California. Naval Postgraduate School, 1995-06);The utility of hyperspectral imagers for the identification, classification and status of a specific material based on it's spectral characteristics has been demonstrated in the fields of geology, forestry and meteorology. ...
Jammer mitigation with adaptive waveforms and use of EM-simulated targets in cognitive radar for target classification Tan, Qinling Jeanette Olivia (Monterey, California. Naval Postgraduate School, 2019-03);Cognitive radar (CRr) is a knowledge-aided dynamic radar architecture where the operation of the receiver and transmitter is controlled adaptively through provision for feedback about the electromagnetic (EM) environment. ...