Share Email Print
cover

Proceedings Paper

Detection of 3D objects using eigenanalysis
Author(s): Clayton V. Stewart; Sherman Karp; Victor J. Larson
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper presents a new semi-coherent quadratic eigenimage based technique for detecting stationary targets in SAR data. The new detector is different from previous work because it models the SAR signal as a multi-pixel, multi-band complex random signal with unknown spatial position and orientation. The new proposed detector handles the unknown orientation by modeling each target with a set of angle subclasses. The proposed detector has reduced complexity by using reduced rank techniques.

Paper Details

Date Published: 1 February 1994
PDF: 9 pages
Proc. SPIE 2093, Substance Identification Analytics, (1 February 1994); doi: 10.1117/12.172514
Show Author Affiliations
Clayton V. Stewart, George Mason Univ. (United States)
Sherman Karp, George Mason Univ. (United States)
Victor J. Larson, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 2093:
Substance Identification Analytics
James L. Flanagan; Richard J. Mammone; Albert E. Brandenstein; Edward Roy Pike; Stelios C. A. Thomopoulos; Marie-Paule Boyer; H. K. Huang; Osman M. Ratib, Editor(s)

© SPIE. Terms of Use
Back to Top