&lt;title&gt;Target detection using infrared spectral sensors&lt;/title&gt;

Schwartz, Craig R.; Cederquist, Jack N.; Eismann, Michael T.

doi:10.1117/12.258065

Cited by 6 publications

(4 citation statements)

References 5 publications

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“…Our database of simulated aircraft IRS consists of multispectral images featuring K 0 = 10 elementary spectral bands {b k } 10 k=1 evenly spaced across the 2000-3000 cm −1 spectral range (actually, 10 bands of spectral width 100 cm −1 ). However, as already mentioned in [17], [37], and [11], the number of bands K and their location in the 2000-3000 cm −1 spectrum both have a huge impact in the detection performance, regardless the detector φ ∈ Φ choice.…”

Section: Wavelength Bands Selectionmentioning

confidence: 84%

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Detecting Aircraft in Low-Resolution Multispectral Images: Specification of Relevant IR Wavelength Bands

Maire

Lefèbvre

2015

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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International audienceWe address the problem of detecting a stealth aircraft flying far away from an observer with limited visibility conditions using their multispectral signature. In such environment, the aircraft is a very low-contrast target, i.e. the target spectral signature may have a similar magnitude to the background clutter. Therefore, methods accounting only for the spectral features of the target, while leaving aside its spatial pattern, may either lead to poor detection statistics or high false alarm rate.We propose a new detection method which accounts for both spectral and spatial dispersions, by inferring level sets of the Mahalanobis transform of the multispectral image. This combines the approach of the well known RX detector with some elements of the level set methods for shapes analysis. This algorithm is in turn used to specify the wavelength bands which maximize an aircraft detection probability, for a given false alarm rate.This methodology is illustrated in a typical scenario, consisting of a daylight air-to-ground full-frontal attack by a generic combat aircraft flying at low altitude, over a database of 30000 simulated multispectral InfraRed Signature (IRS). The results emphasize that, in the context of aircraft detection, there is great interest in using multispectral IRS rather than integrated IRS, as long as the infrared bands are well chosen

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Section: Wavelength Bands Selectionmentioning

confidence: 84%

“…In some applications, a characteristic spectral signature of the target is a priori known [4], [15]- [17]. The corresponding detection methods are referred to as matched filter algorithms in the literature.…”

mentioning

confidence: 99%

Detecting Aircraft in Low-Resolution Multispectral Images: Specification of Relevant IR Wavelength Bands

Maire

Lefèbvre

2015

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Recently, with the development of image process technology, automatic reporter based on optoelectronic coordinate positioning technology is an important research area for institutional repository at home and abroad [2] [3] [6] . So the automatic target reporting system, based on the technology of image processing and digital signal processor, is designed in this paper.…”

Section: Introductionmentioning

confidence: 99%

The Design for Automatic Target Reporting System Based on Image Processing

Xu¹,

Li²,

Xiao³

2013

AMR

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Photo-electricity target with low cost, high efficiency and high reliability is widely used for gunnery training in military affairs and athletic sports. The automatic target reporting system based on image processing is constructed and some experimental is done. The result is shown that compared to the way of manual target, automatic target reporting system has the character of easy to operate, low-cost and easy to popularize.

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“…Compared to the conventional way of manual target, Photo-electricity target with high efficiency, high reliability is widely used for gunnery training in military affairs and athletic sports [1] [2][3] [4] . Impact point detecting, as a function with a weapon's sighting system, is a key part for photoelectricity target, and its detecting precisions are an important index for the performance of photo-electricity target [5] [6] .…”

Section: Introductionmentioning

confidence: 99%