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In this paper, a locality-constrained and class-specific sparse representation (LCSR) framework is presented to alleviate these problems. Instead of the sparse ...
ABSTRACT. Recently, sparse representation has achieved the impressive performance on target recognition in synthetic aperture radar. (SAR) image.
Locality-Constrained and Class-Specific Sparse Representation for Sar Target Recognition. M. Yu, L. Zhao, S. Zhang, and G. Kuang. IGARSS, page 2322-2325 ...
To improve the classification performance, this paper employs the local sparse representation to make a decision. Since the manifold of given classes that is ...
Paper Title: LOCALITY-CONSTRAINED AND CLASS-SPECIFIC SPARSE REPRESENTATION FOR SAR TARGET RECOGNITION ; Authors: Meiting Yu; College of Electronic Science and ...
In this paper, the traditional SRC is improved to enhance the performance in SAR target recognition. First, in the global dictionary, the test sample is ...
Missing: Locality- | Show results with:Locality-
SAR Target Recognition Based on Modified Sparse Representation ... Locality-Constrained and Class-Specific Sparse Representation for Sar Target Recognition.
Title: LOCALITY-CONSTRAINED AND CLASS-SPECIFIC SPARSE REPRESENTATION FOR SAR TARGET RECOGNITION ; Authors: Meiting Yu; College of Electronic Science and ...
Joint distances by sparse representation and locality ...
www.sciencedirect.com › article › abs › pii
The locality-constrained models produced by sparse representation and dictionary learning are a few of the prevailing feature models for leaf image recognition.
Missing: Specific | Show results with:Specific
Oct 19, 2018 · Sparse representation (SR) has been verified to be an effective tool for pattern recognition. Considering the multiplicative speckle noise ...
Missing: Locality- Specific