Accession Number : ADA630863


Title :   The Multiplicative Zak Transform, Dimension Reduction, and Wavelet Analysis of LIDAR Data


Descriptive Note : Doctoral thesis


Corporate Author : MARYLAND UNIV COLLEGE PARK


Personal Author(s) : Flake, Justin C


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a630863.pdf


Report Date : Jan 2010


Pagination or Media Count : 171


Abstract : This thesis broadly introduces several techniques within the context of timescale analysis. The representation, compression and reconstruction of DEM and LIDAR data types is studied with directional wavelet methods and the wedgelet decomposition. The optimality of the contourlet transform, and then the wedgelet transform is evaluated with a valuable new structural similarity index. Dimension reduction for material classification is conducted with a frame-based kernel pipeline and a spectral-spatial method using wavelet packets. It is shown that these techniques can improve on baseline material classification methods while significantly reducing the amount of data. Finally, the multiplicative Zak transform is modified to allow the study and partial characterization of wavelet frames.


Descriptors :   *OPTICAL RADAR , *WAVELET TRANSFORMS , DATA COMPRESSION , EIGENVALUES , EXPERIMENTAL DATA , FACTOR ANALYSIS , GEOMETRIC FORMS , IMAGE RECONSTRUCTION , KERNEL FUNCTIONS , MULTIPLICATION FACTOR , NUMERICAL ANALYSIS , PERFORMANCE(ENGINEERING) , SIGNAL TO NOISE RATIO , TERRAIN , THESES , TOPOGRAPHY


Subject Categories : Optical Detection and Detectors


Distribution Statement : APPROVED FOR PUBLIC RELEASE