Dependent component analysis for blind restoration of images degraded by turbulent atmosphere

Du, Qian; Kopriva, Ivica (2009) Dependent component analysis for blind restoration of images degraded by turbulent atmosphere. Neurocomputing, 72 (10-12). pp. 2682-2692. ISSN 0925-2312

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Abstract

Atmospheric turbulence is an inevitable problem in long-distance ground-based and space-based imaging. The optical effects of atmospheric turbulence arise from random inhomogeneities in the temperature distribution of the atmosphere. A consequence of these temperature inhomogeneities is non-stationary random distribution of the refraction index of the atmosphere [1]. Atmospheric turbulence can make distant objects being viewed through a sensor (e.g., a digital camera or video recorder) to appear blurred. Also, the time-varying nature of the turbulence can make the appearance of objects to wave in a slow quasi-periodic fashion. When a target is small and moving, its actual location becomes very difficult to estimate. This phenomenon greatly hinders accurate target detection, tracking, classification, and identification.

Item Type:	Article
Uncontrolled Keywords:	atmospheric turbulence; image restoration; independent component analysis; dependent component analysis
Subjects:	NATURAL SCIENCES > Mathematics > Applied Mathematics and Mathematical Modeling TECHNICAL SCIENCES > Computing > Data Processing
Divisions:	Division of Laser and Atomic Research and Development
Projects:	Project title Project leader Project code Project type Multispectral data analysis (Analiza višespektralih podataka)- Ivica Kopriva 098-0982903-2558 MZOS
Depositing User:	Ivica Kopriva
Date Deposited:	23 Nov 2015 11:58
URI:	http://fulir.irb.hr/id/eprint/2331
DOI:	10.1016/j.neucom.2008.09.012

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