Title :
Recognition of SAR Image Based on SVM and New Invariant Moment Feature Extraction
Author :
Fu, Yan ; Lv, Jinrui
Author_Institution :
Dept. of Comput. Sci., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
fDate :
Nov. 30 2009-Dec. 1 2009
Abstract :
Support vector machine (SVM) is regarded as a good alternative of the traditional learning classification. Because of its excellent learning performance, it has become a research hot spot in the field of machine learning. This paper describes the new invariant moment feature extraction of SAR objectives based on shape feature, then classify and train the eigenvectors by using SVM. The excellent recognition rates achieved in experiments indicate that SVM is well suited for SAR image target recognition.
Keywords :
feature extraction; learning (artificial intelligence); object recognition; radar imaging; support vector machines; synthetic aperture radar; SAR image target recognition; invariant moment feature extraction; machine learning; support vector machine; synthetic aperture radar; Equations; Feature extraction; Image recognition; Knowledge acquisition; Lagrangian functions; Machine learning; Optimization methods; Support vector machine classification; Support vector machines; Target recognition; SAR; classification; support vector machine; target recognition; training;
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
DOI :
10.1109/KAM.2009.201
