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.
Automatic recognition of ISAR ship images
IEEE Transactions on Aerospace and Electronic Systems ; 32 , 4 ; 1392-1404
1996-10-01
1129066 byte
Article (Journal)
Electronic Resource
English
Automatic recognition of ISAR ship images
Tema Archive | 1996
|Automatic Recognition of ISAR Ship Images
Online Contents | 1996
|The length estimation of ship targets in ISAR images
IEEE | 2014
|Target Recognition by Means of Polarimetric ISAR Images
IEEE | 2011
|Ship identification in sequential ISAR imagery
British Library Online Contents | 2004
|