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Extended local binary patterns for texture classification
TLDR
This paper presents a novel approach for texture classification, generalizing the well-known local binary pattern (LBP) approach. Expand
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An Adaptive and Fast CFAR Algorithm Based on Automatic Censoring for Target Detection in High-Resolution SAR Images
TLDR
An adaptive and fast constant false alarm rate (CFAR) algorithm based on automatic censoring (AC) is proposed for target detection in high-resolution synthetic aperture radar images. Expand
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SAR Target Recognition via Joint Sparse Representation of Monogenic Signal
TLDR
In this paper, the classification via sprepresentation and multitask learning is presented for target recognition in SAR image. Expand
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Sparse Representation of Monogenic Signal: With Application to Target Recognition in SAR Images
TLDR
In this letter, the classification via sparse representation of the monogenic signal is presented for target recognition in SAR images. Expand
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Sorted random projections for robust rotation-invariant texture classification
TLDR
This paper presents a simple, novel, yet very powerful approach for robust rotation-invariant texture classification based on random projection. Expand
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Sorted Random Projections for robust texture classification
TLDR
This paper presents a simple and highly effective system for robust texture classification, based on (1) random local features, (2) a simple global Bag-of-Words (BoW) representation, and (3) Support Vector Machines (SVMs) based classification. Expand
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Hyperspectral Image Restoration Using Low-Rank Tensor Recovery
TLDR
This paper studies the hyperspectral image (HSI) denoising problem under the assumption that the signal is low in rank. Expand
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Modified two-dimensional otsu image segmentation algorithm and fast realisation
Traditional two-dimensional (2D) Otsu method supposes that the sum of probabilities of diagonal quadrants in 2D histogram is approximately one. This studies experiments and theory prove that the sumExpand
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A Threshold Selection Method Using Two SAR Change Detection Measures Based on the Markov Random Field Model
TLDR
This letter presents a threshold selection method in change detection (CD) with synthetic aperture radar (SAR) images, which combines the characteristics of two different CD measures by using the Markov random field model. Expand
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A Fast SAR Target Recognition Approach Using PCA Features
TLDR
The real-time ability and recognition rate are two primary goals for evaluating the performance of an SAR image target recognition system. Expand
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