Title :
Automatic model construction for object recognition using ISAR images
Author :
Zhang, Shujun ; Bhanu, Bir
Author_Institution :
Coll. of Eng., California Univ., Riverside, CA, USA
Abstract :
This paper discusses model construction for object recognition using ISAR images. A learning-from-examples approach is used to construct recognition models of the objects from their ISAR data. Given a set of ISAR data of an object of interest, structural features are extracted from the images. Statistical analysis and geometrical reasoning are then used to analyze the features to find spatial and statistical invariance so that a structural model of the object suitable for object recognition can be constructed. Results of experiments using the automatically constructed model in object recognition are presented
Keywords :
feature extraction; image representation; learning by example; learning systems; object recognition; radar target recognition; spatial reasoning; statistical analysis; synthetic aperture radar; ISAR images; automatic model construction; geometrical reasoning; inverse synthetic aperture radar; learning-from-examples; model representation; object recognition; spatial invariance; statistical analysis; statistical invariance; structural feature extraction; Azimuth; Data mining; Educational institutions; Feature extraction; Frequency; Object recognition; Solid modeling; Statistical analysis; Testing; Training data;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.547255
