Title :
Log-polar and polar image for recognition targets
Author :
Toumi, Abdelmalek ; Khenchaf, Ali
Author_Institution :
ENSIETA, Brest, France
Abstract :
We describe in this paper, data processing algorithms applied on radar image in order to extract feature descriptors and then to perform recognition task. Several kinds of descriptors can be used to acquire information about target characteristics from radar images such as ISAR (Inverse Synthetic Aperture Radar) images. This paper presents two types of vector descriptors extracted via two minds of transformed images so-called polar and log-polar images obtained respectively from the polar and log-polar mapping. In order to guarantee the invariance of some geometrical transformation, additional processing are proposed. In this paper, we present the polar and log-polar transformations and then the classification scheme adapted on correspondent polar and log-polar templates. In the classification step, log-polar and polar mapping results are compared using adapted classification scheme.
Keywords :
feature extraction; geophysical image processing; image recognition; radar signal processing; remote sensing by radar; synthetic aperture radar; ISAR images; classification scheme; data processing algorithms; feature descriptor extraction; inverse synthetic aperture radar; log polar image; log polar mapping; polar images; radar image; recognition targets; recognition task; vector descriptors; Accuracy; Databases; Feature extraction; Radar imaging; Target recognition; Training; Classification; Image processing; Target recognition;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5652527