论文信息 - Automatic model construction for object recognition using ISAR images

Automatic model construction for object recognition using ISAR images

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.

Bir Bhanu | Shujun Zhang | B. Bhanu | Shujun Zhang

[1] Leslie M. Novak,et al. Radar target identification using spatial matched filters , 1994, Pattern Recognition.

[2] Jacques Verly,et al. Principles and evaluation of an automatic target recognition system for synthetic aperture radar imagery based on the use of functional templates , 1993, Defense, Security, and Sensing.

[3] D. Wehner. High Resolution Radar , 1987 .

[4] Takeo Kanade,et al. Model based recognition of specular objects using sensor models , 1992, CVGIP Image Underst..

[5] Jacques Verly,et al. Use of persistent scatterers for model-based recognition , 1994, Defense, Security, and Sensing.

[6] Leslie M. Novak,et al. Polarimetric techniques for enhancing SAR imagery , 1992, Photonics West - Lasers and Applications in Science and Engineering.