CLASSIFICATION OF SAR SHIP IMAGES WITH THE AID OF A SYNTACTIC PATTERN RECOGNITION ALGORITHM

PDF

Authors
  1. Klepko, R.
Corporate Authors
Defence Research Establishment Ottawa, Ottawa ONT (CAN)
Abstract
Synthetic Aperture Radar (SAR) systems have made possible the generation of radar images of ships with high resolution to allow numerous targets or scatterers to be visible. With the availability of numerous scatterers in one radar image, it is theoretically possible to identify the class of a ship. The SAR image of a ship is a function of the location of scatterers, the SAR system frequency, the radar-to-ship viewing angle, the amount and type of sea-induced ship motion, and the length of the aperture. Because of the dependence on these variables, the number of images representing any one ship is large. It is the job of a Radar Operator to study and understand the abundance of radar iamges that can be encountered, and attempt to make the correct classification. Fast classification response times are required, however, since these images would normally be acquired in a real-time scenario. TRUNCATED
Report Number
DREO-TN-91-10 — Technical Note
Date of publication
15 Jul 1991
Number of Pages
28
DSTKIM No
91-04369
CANDIS No
71555
Format(s):
Hardcopy;Originator's fiche received by DSIS;Document Image stored on Optical Disk

Permanent link

Document 1 of 1

Date modified: