Improved local ternary patterns for automatic target recognition in infrared imagery

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Improved local ternary patterns for automatic target recognition in infrared imagery

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2015 nî lūn-bûn

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2015年の論文

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2015年学术文章

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2015年学术文章

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2015年学术文章

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2015年学术文章

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Improved local ternary patterns for automatic target recognition in infrared imagery

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Improved local ternary patterns for automatic target recognition in infrared imagery

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Improved local ternary patterns for automatic target recognition in infrared imagery

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P1476

Improved local ternary patterns for automatic target recognition in infrared imagery

@en

P2093

Guoliang Fan

http://www.w3.org/2001/XMLSchema#string

Junding Sun

http://www.w3.org/2001/XMLSchema#string

Xiaosheng Wu

http://www.w3.org/2001/XMLSchema#string

Zhiheng Wang

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P2860

A compact methodology to understand, evaluate, and predict the performance of automatic target recognition

Local binary patterns variants as texture descriptors for medical image analysis.

Advances in target detection and tracking in Forward-Looking InfraRed (FLIR) imagery.

Pairwise Rotation Invariant Co-Occurrence Local Binary Pattern.

Improving the accuracy of predicting disulfide connectivity by feature selection.

Joint target tracking, recognition and segmentation for infrared imagery using a shape manifold-based level set.

Enhanced local texture feature sets for face recognition under difficult lighting conditions.

Sparsity-motivated automatic target recognition.

Noise-resistant local binary pattern with an embedded error-correction mechanism.

Learning discriminant face descriptor.

P304

6399-6418

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P31

scholarly article

P356

10.3390/S150306399

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P407

English

P433

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P478

http://www.w3.org/2001/XMLSchema#string

P577

2015-03-16T00:00:00Z

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P5875

273784521

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P698

25785311

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P932

4435149

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