Accession Number : ADA326111

Title :   Adapted Waveform Analysis for ATDIR.

Descriptive Note : Final rept.,

Corporate Author : YALE UNIV NEW HAVEN CT DEPT OF MATHEMATICS

Personal Author(s) : Coifman, R. ; Rokhlin, V.

PDF Url : ADA326111

Report Date : 12 MAY 1997

Pagination or Media Count : 5

Abstract : This research aims at improving most steps involved in the ATD/R process, starting with preprocessing, including denoising, segmentation, background and clutter removal and followed by feature extraction and definition to enhance the classification and recognition process. These steps are directly tied to fast numerical algorithms whose purpose is to enable real time ATD/R The toolkit developed in this project is currently being successfully used by Martin Marietta to enhance their Radar return ATR and by Hughes Research Labs for Fast Radar return simulations.

Descriptors :   *TARGET RECOGNITION, *WAVEFORMS, ALGORITHMS, REMOVAL, REAL TIME, CLUTTER, RADAR, EXTRACTION, AUTOMATIC, FOURIER ANALYSIS, SEGMENTED, TOOL KITS.

Subject Categories : Active & Passive Radar Detection & Equipment

Distribution Statement : APPROVED FOR PUBLIC RELEASE