Paper Info
Title
R?-signature: A new signature based on Radon Transform and its application in buildings extraction
Abstract
Object recognition has been a topic of research for decades, it operates by making decisions based on the values of several shape properties measured from an image of the object. In this paper, a new exploitation of the Radon Transform (RT) is proposed to extract only one projection according to a single angle. This projection is chosen in way that contains the necessary information to recognize an object (a shape descriptor). This descriptor (called R?-signature) provides global information of a binary shape regardless its form. After that, we use this signature in an extraction method of buildings from very high-resolution satellite imagery.
Year
DOI
Venue
2011
10.1109/ISSPIT.2011.6151611
ISSPIT
Keywords
Field
DocType
global information,object recognition,extraction method,new signature,binary shape,new exploitation,shape descriptor,buildings extraction,high-resolution satellite imagery,necessary information,radon transform,shape property,image resolution
Computer vision,Satellite imagery,Pattern recognition,Computer science,Global information,Hough transform,Artificial intelligence,Radon transform,Image resolution,Binary number,Cognitive neuroscience of visual object recognition
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Hmida Rojbani132.16
Ines Elouedi233.13
Atef Hamouda34012.57