&lt;title&gt;Max-mean and max-median filters for detection of small targets&lt;/title&gt;

Deshpande, Suyog D.; Er, Meng Hwa; Venkateswarlu, Ronda; Chan, Philip K.

doi:10.1117/12.364049

Cited by 591 publications

(307 citation statements)

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“…Mean Square Filter [6] 등이 있으며 비선형 필터로는 Median Filter [7] , Max-mean Filter [8] , Max-median Filter [8] , Morphology Filter [9] 등이 있다. 본 논문에서는 대표적 인 소형표적 탐지 기법들로 Average Filter 기반인 2-D…”

Section: 가 시간필터unclassified

Robust Ordnance Flash Detection Based on Cooperative Temporal and Spatial Filters

Yang

Kim²,

Park³

2011

Journal of the Korea Institute of Military Science and Technolo

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Section: 가 시간필터unclassified

Robust Ordnance Flash Detection Based on Cooperative Temporal and Spatial Filters

Yang

Kim²,

Park³

2011

Journal of the Korea Institute of Military Science and Technolo

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“…There are Max-Median algorithm [22], Max-Mean algorithm [22], Fast-saliency algorithm [21], a local-contrast-method (LCM) algorithm [13] and improved LCM (ILCM) algorithm [14].…”

Section: Evaluation Metrics and Comparisonmentioning

confidence: 99%

Infrared small target detection based on directional zero-crossing measure

Zhang

Ding

Luo

et al. 2017

Infrared Physics & Technology

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“…Various algorithms have been developed in the past few decades [2][3][4]. Conventional small target detection methods such as top-hat filter [2], max-mean/max-median filter [3] and high-pass filters based on least spuares support vector machine (LS-SVM) [4] are widely used to reduce the background clutters.…”

Section: Introductionmentioning

confidence: 99%

Target Detection Algorithm Based on Two Layers Human Visual System

et al. 2015

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Robust small target detection of low signal-to-noise ratio (SNR) is very important in infrared search and track applications for self-defense or attacks. Due to the complex background, current algorithms have some unsolved issues with false alarm rate. In order to reduce the false alarm rate, an infrared small target detection algorithm based on saliency detection and support vector machine was proposed. Firstly, we detect salient regions that may contain targets with phase spectrum Fourier transform (PFT) approach. Then, target recognition was performed in the salient regions. Experimental results show the proposed algorithm has ideal robustness and efficiency for real infrared small target detection applications.

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<title>Max-mean and max-median filters for detection of small targets</title>

Cited by 591 publications

References 0 publications

Robust Ordnance Flash Detection Based on Cooperative Temporal and Spatial Filters

Robust Ordnance Flash Detection Based on Cooperative Temporal and Spatial Filters

Infrared small target detection based on directional zero-crossing measure

Target Detection Algorithm Based on Two Layers Human Visual System

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