Title
Log-polar and polar image for recognition targets
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.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5652527
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
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,Classification,Image processing,Target recognition
Data processing,Computer science,Synthetic aperture radar,Remote sensing,Image processing,Artificial intelligence,Computer vision,Radar imaging,Pattern recognition,Invariant (physics),Feature extraction,Inverse synthetic aperture radar,Polar
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4244-9564-1
978-1-4244-9564-1
1
PageRank 
References 
Authors
0.37
4
2
Name
Order
Citations
PageRank
Abdelmalek Toumi1229.24
ali khenchaf29830.12