Statistics of irradiance scattered from a diffuse target containing multiple glints

McIntyre, C. M.; Lee, Myung Hun; Churnside, James H.

doi:10.1364/josa.70.001084

Cited by 16 publications

(4 citation statements)

References 12 publications

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“…We see nearly identical results as with the 2D-sequence filters of Table lB. At this point we are lead to the conclusion that the 2D-sequence filters with their reduced numerical operation requirement l.6e-6 l.2e-6 7.5e-8 16 18 8.8 6.Se-1 16 6.le-1 should be employed. The correlation filter peak-voltage output is superior to the energy of the filter output as a discrimination feature with respect to speckle.…”

Section: Correlation Peak and Correlation Energy Vs Speckle Resolvedsupporting

confidence: 66%

Three-dimensional and two-dimensional sequence spatial-frequency domain processing of speckled ladar images for automatic target recognition

Youmans

Hart

1999

SPIE Proceedings

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Direct-detection laser radars can measure the range and the intensity returns from a target, with or without clutter, for each part of the target resolved in angle by the optical system. Because the ladar's angular resolution is in microradians, there are generally at least a few angular pixels "on target." In addition, for narrow pulse (-1 ns) ladar systems, there may be ten or so sequential intensity measurements in range per pixel as the laser pulse propagates down the target's surface. The output image is, therefore, potentially a three dimensional "cube" of intensity measurements and quantized in the range axis by the range-bin size or "voxel" size. This is known as "range resolved angle-angleintensity" ladar.In a previous paper we transformed this 3D-matrix image into the spatial-frequency domain using 3D-Fourier transforms and followed conventional 2D template correlation techniques to perform target recognition and identification. During this previous study, it was noted that the 2D range-bins could be placed in sequence and 2D filtering used on these synthetic images. Results of 3D and 2D-sequence target correlators using the "joint transform correlator," "the inverse filter," the "phase-only matched-filter," the "binary phase-only filter," and the classical "matched filter" are presented here. Far-field test data using conical shaped targets are used to study the 3D and 2D correlators, and the effects of laser speckle are discussed. Recent developments in negative-binomial driven shot-noise effects in range-resolved direct-detection ladar are reviewed as well. These 3D or 2D-sequence template correlators may supplement or refine less computationally intensive algorithms such as total signal; range-extent; x-z, y-z, and x-y plane image centroid estimation; and image moments.

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Section: Correlation Peak and Correlation Energy Vs Speckle Resolvedsupporting

confidence: 66%

Three-dimensional and two-dimensional sequence spatial-frequency domain processing of speckled ladar images for automatic target recognition

Youmans

Hart

1999

SPIE Proceedings

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“…The model [Eq. (17)] is true for the diffuse target with glints Ն0.5 mm [25] as well. The amplitude of the reflection coefficient is determined as [18,19]…”

Section: Spatiotemporal Correlation Functionmentioning

confidence: 99%

“…First, we note that the spatiotemporal correlation function [Eq. (25)] is the sum of integrals of the type…”

Section: Reconstruction Algorithmmentioning

confidence: 99%

Cross-wind profiling based on the scattered wave scintillations in a telescope focus

Banakh¹,

Marakasov²,

Vorontsov

2007

Appl. Opt.

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The problem of wind profile reconstruction from scintillation of an optical wave scattered off a rough surface in a telescope focus plane is considered. Both the expression for the spatiotemporal correlation function and the algorithm of cross-wind velocity and direction profiles reconstruction based on the spatiotemporal spectrum of intensity of an optical wave scattered by a diffuse target in a turbulent atmosphere are presented. Computer simulations performed under conditions of weak optical turbulence show wind profiles reconstruction by the developed algorithm.

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“…(8) The sums in these expressions contain polynomials d and Pm, depending on parameters of scanning, k being the order of a term of the series, t1,correlation time of the random Gaussian angle scanning. (8) The sums in these expressions contain polynomials d and Pm, depending on parameters of scanning, k being the order of a term of the series, t1,correlation time of the random Gaussian angle scanning.…”

Section: Introductionmentioning

confidence: 99%

<title>Image synthesis from fluctuations: fluctuation vision</title>

Molebny¹

1993

SPIE Proceedings

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Fluctuations, under common conditions regarded as noise or clutter, often are carriers of very useful information. This information may be turned into usable form if the degree of distinctions between fluctuating signals can be determined. To visualize statistical parameters of two-dimensional fields of fluctuations, these parameters are proposed to be converted into videosignals, forming conventional TV image. Recursive technique is applied to such parameter as variance, modified into temporal contrast. Description of visualizer configuration is preceded by a summary of background for speckle-originated fluctuations in turbulent atmosphere when retroreflected from diffuse and mirror surfaces. The possibilities are discussed for controlled speckle displacements using laser beam scanning or phase/frequency swip. 0-8194-1278-3/93/$6.00 Downloaded From: http://proceedings.spiedigitallibrary.org/ on 05/30/2015 Terms of Use: http://spiedl.org/terms

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Statistics of irradiance scattered from a diffuse target containing multiple glints

Cited by 16 publications

References 12 publications

Three-dimensional and two-dimensional sequence spatial-frequency domain processing of speckled ladar images for automatic target recognition

Three-dimensional and two-dimensional sequence spatial-frequency domain processing of speckled ladar images for automatic target recognition

Cross-wind profiling based on the scattered wave scintillations in a telescope focus

<title>Image synthesis from fluctuations: fluctuation vision</title>

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