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Experimental comparison of three target acquisition models

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TLDR
In this article, the role of the atmosphere in target acquisition is blur rather than attenuation and that for ranges of the order of a few kilometers, modern sensors are limited by atmospheric blur, rather than by noise.
Abstract
The role of the atmosphere in target acquisition modeling is investigated experimentally. Three models are compared to experimental results measured on the Golan Heights, israel. Concepts considered are atmospheric attenuation versus atmospheric blur, and contrast- limited (blur-limited) versus noise-limited imaging. Results indicate that the role of the atmosphere in target acquisition is blur rather than attenuation and that for ranges of the order of a few kilometers, modern sensors are limited by atmospheric blur rather than by noise. A significant portion of the atmospheric blur derives from small angle forward scattering by aerosols, which actually increases measured temperature differences for ranges up to a few kilometers.

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Citations
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Blurred face recognition via a hybrid network architecture

TL;DR: It is shown that image restoration with the proposed hybrid architecture leads to the best and most robust results under various forms of blur.
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Thermal Imager Range: Predictions, Expectations, and Reality.

TL;DR: The key objective of the paper is to provide users with reliable data regarding expectations during a field mission by applying model-based performance calculation for several thermal imagers used in long-range surveillance systems and compared the results with laboratory performance measurement results.
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Effects of image restoration on acquisition of moving objects from thermal video sequences degraded by the atmosphere

TL;DR: This work examines the effect of image restoration on the ability of observers to acquire moving objects in video sequences through perception experiments that compare acquisition probabilities in both restored and nonrestored video sequences captured by a remote-sensing thermal imaging system.
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Effects of image restoration on target acquisition

TL;DR: In this article, the authors modeled atmospheric and image restoration effects on the human acquisition of a target and found that the atmospheric wiener filter can noticeably improve target acquisition probability at low noise levels.
Proceedings ArticleDOI

Effects of image restoration on target acquisition

TL;DR: It is found that the atmospheric wiener filter can improve target acquisition probability at low noise levels and as the noise increases the improvement becomes more limited because the restoration increases the noise level in the image.
References
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Journal ArticleDOI

Atmospheric correction of visible to middle-infrared EOS-MODIS data over land surfaces: Background, operational algorithm and validation

TL;DR: In this article, the state-of-the-art techniques for atmospheric correction of MODIS bands 1 through 7, centered at 648, 858, 470, 555, 1240, 1640, and 2130 nm, are described.
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A System Engineering Approach to Imaging

TL;DR: In this paper, the authors address imaging from the system engineering point of view, examining advantages and disadvantages of imaging in various spectral regions, focusing on imaging principles and system concepts, rather than devices.
Journal ArticleDOI

Radiative Properties of Desert Aerosols by Optical Ground-Based Measurements at Solar Wavelengths

TL;DR: In this paper, the optical properties of desert aerosols from ground-based measurements in order to validate satellite monitoring of these aerosols are derived. But the results are consistent with previous studies, notably Shettle's (1984) desert aerosol models; the aerosol characteristics were observed to depend upon the dust conditions, i.e., background or dust storm conditions.
Journal ArticleDOI

Monte Carlo simulation of the atmospheric point-spread function with an application to correction for the adjacency effect.

TL;DR: A method to approximate the atmospheric PSF's without the need to resort to a Monte Carlo simulation is described and an algorithm that uses the PSF to correct high-contrast images for adjacency effects is developed and applied to an AVIRIS image of Big Pine Key in the Florida Keys.