Operating distance evaluation method for infrared imaging system under complicated backgrounds

Diao, Wenhui; Mao, Xia; Chang, Le; Jiang, Lifen

doi:10.1049/el.2009.0882

Cited by 4 publications

(2 citation statements)

References 1 publication

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“…Thus IR radiance of a complicated background is difficult to be calculated correctly by traditional methods, which focus on establishing background IR radiance model [7,8]. In order to solve this problem, we use an approach proposed in our previous paper to calculate the background IR radiance via its imaging gray information [9].…”

Section: Methods For Calculating the Ir Radiance Of Complicated Backgrmentioning

confidence: 99%

Detection probability evaluation method for infrared point target under complicated backgrounds

Zheng¹,

Xiaojin²,

L.³

et al. 2012

Proceedings of the 2012 International Conference on Quantitative InfraRed Thermography

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Traditional detection probability evaluation method for infrared point target is not appropriate in the condition of complicated background due to the influence of background radiance. Firstly, this paper deduces the traditional detection probability evaluation method for point target under unitary background and analyzes its defects. Then, this paper introduces the idea of probability distribution into the traditional method and proposes a novel detection probability evaluation method under complicated backgrounds. Finally, a detection probability calculation instance shows that the new method can accurately estimate the detection probability under complicated backgrounds.

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Section: Methods For Calculating the Ir Radiance Of Complicated Backgrmentioning

confidence: 99%

Detection probability evaluation method for infrared point target under complicated backgrounds

Zheng¹,

Xiaojin²,

L.³

et al. 2012

Proceedings of the 2012 International Conference on Quantitative InfraRed Thermography

Self Cite

View full text Add to dashboard Cite

show abstract

“…The methods given in [2,3], exploit size changes of an object in the video sequence, as inferred by processing video frames, to compute distance. As we know, thermal image size measurement is difficult, since the edge of the object is not clear [4]. The measurement of object size depends on the image processing method for object extraction.…”

mentioning

confidence: 99%

Passive ranging using image intensity and contrast measurements

Barbaric

Bondžulić

Mitrovic

2012

Electronics Letters

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Proposed are two passive ranging approaches using a single camera, based on intensity and contrast measurements. According to the Beer-Lambert law and known atmosphere extinction coefficient and initial range, the range to a moving object is estimated. Using these approaches in a real infrared surveillance sequence, better results are obtained than with methods which use image size measurements. The relative error of 3.2% for contrast and 2.3% for intensity features are obtained. Results indicate that range estimation is possible to a fidelity required for object tracking.

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Evaluation for detection probability of infrared point target under complicated backgrounds

Zheng¹,

Mao²,

Xue

et al. 2012

Journal of Electromagnetic Waves and Applications

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Operating distance evaluation method for infrared imaging system under complicated backgrounds

Cited by 4 publications

References 1 publication

Detection probability evaluation method for infrared point target under complicated backgrounds

Detection probability evaluation method for infrared point target under complicated backgrounds

Passive ranging using image intensity and contrast measurements

Evaluation for detection probability of infrared point target under complicated backgrounds

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