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
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;
Conference_Titel :
Electronic Technology Directions to the Year 2000, 1995. Proceedings.
Conference_Location :
Adelaide, SA
Print_ISBN :
0-8186-7085-1
DOI :
10.1109/ETD.1995.403472
