NDLI: SAR image classification based on texture feature fusion

Content Provider	IEEE Xplore Digital Library
Author	Ismail, A.S. Xinbo Gao Cheng Deng
Copyright Year	2014
Description	Author affiliation: Sch. of Electron. Eng., Xidian Univ., Xi'an, China (Xinbo Gao; Cheng Deng) \|\| Sch. of Int. Educ., Xidian Univ., Xi'an, China (Ismail, A.S.)
Abstract	This paper presents a method for feature extraction and classification of synthetic aperture radar (SAR) images. This proposed method consists of three steps. First, two kinds of texture features are extracted for SAR image, which are the gray level co-occurrence matrix (GLCM) and Gabor filters (GFs). Second, these two kinds of extracted feature vectors from the first step were fused using the canonical correlation analysis (CCA) to reduce the dimensionality of the feature spaces. Third, the SAR images are classified with the support vector machine (SVM) in the fused feature space. The experimental results demonstrate that the proposed SAR classification method obtains good classification performance and the dimensionality reduction of CCA leads to high efficiency.
Starting Page	153
Ending Page	156
File Size	981223
Page Count	4
File Format	PDF
ISBN	9781479954018
e-ISBN	9781479954032
DOI	10.1109/ChinaSIP.2014.6889221
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Support vector machine classification Feature extraction Gray level cooccurrence matrix Feature fusion Gabor filters Synthetic aperture radar Image classification
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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