Title :
Automatic recognition of ISAR ship images
Author :
Musman, S. ; Kerr, D. ; Bachman, C.
Author_Institution :
Naval Res. Lab., Washington, DC, USA
fDate :
10/1/1996 12:00:00 AM
Abstract :
Inverse synthetic aperture radar (ISAR) produces images of ships at sea which human operators can be trained to recognize. Because ISAR uses the ship´s own varying angular motions (roll, pitch, and yaw) for cross-range resolution, the viewing aspect and cross-range scale factor are continually changing on time scales of a few seconds. This and other characteristics of ISAR imaging make the problem of automatic recognition of ISAR images quite distinct from the recognition of optical images. The nature of ISAR imaging of ships, and single-frame and multiple-frame techniques for segmentation, feature extraction, and classification are described. Results are shown which illustrate a capability for automatic recognition of ISAR ship imagery
Keywords :
feature extraction; image classification; image recognition; image segmentation; radar imaging; radar tracking; ships; synthetic aperture radar; ISAR ship images; automatic recognition; classification; cross-range resolution; cross-range scale factor; feature extraction; inverse synthetic aperture radar; multiple-frame techniques; segmentation; single-frame techniques; varying angular motions; viewing aspect; Adaptive optics; Character recognition; Humans; Image recognition; Image resolution; Inverse synthetic aperture radar; Laboratories; Marine vehicles; Optical imaging; Radar antennas;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
