DocumentCode
2934664
Title
All-aspect ship recognition in infrared images
Author
Desilva, Christopher J S ; Lee, Gareth ; Johnson, Ray
Author_Institution
Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
fYear
1995
fDate
23-25 May 1995
Firstpage
194
Lastpage
198
Abstract
The paper describes an investigation of the problem of identifying objects, in particular ships at sea, in infrared images obtained at a variety of angles and scales. The paper covers theoretical and experimental work relating to the choice of feature vectors to describe the images and the application of the this work to the development of a demonstration system
Keywords
feature extraction; image recognition; infrared imaging; naval engineering computing; object recognition; ships; all-aspect ship recognition; demonstration system; experimental work; feature vectors; infrared images; object identification; Aircraft; Computational modeling; Geometry; Image recognition; Information processing; Infrared imaging; Intelligent systems; Marine vehicles; Optical imaging; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Technology Directions to the Year 2000, 1995. Proceedings.
Conference_Location
Adelaide, SA
Print_ISBN
0-8186-7085-1
Type
conf
DOI
10.1109/ETD.1995.403472
Filename
403472
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