Detectability and simulation of smoke and dust clouds in images

Donald W. Hoock; John C. Giever

doi:10.1117/12.21888

1 September 1990 Detectability and simulation of smoke and dust clouds in images

Donald W. Hoock, John C. Giever

Proceedings Volume 1312, Propagation Engineering: Third in a Series; (1990) https://doi.org/10.1117/12.21888
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

Smoke and dust clouds are often more easily detected than the sources producing the clouds. Long range detection depends on the cloud's size and contrast against its background. However, a cloud can sometimes be detected, even in low average contrast conditions, if it significantly masks the apparent clutter of its background or if it provides sufficiently different clutter itself. This paper investigates a basic cloud detection method that includes both cloud contrast and background clutter. It is assumed that the sensor minimum resolvable contrast (or thermal temperature difference) as a function of spatial frequencies is known. This is used to define a detection threshold. We consider contrast in mean intensity, changes in the width of the background intensity histogram, changes in edge strength, and comparison of spatial frequency content as methods to detect the cloud relative to its background. Methods are examined using measured and simulated images.

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Donald W. Hoock and John C. Giever "Detectability and simulation of smoke and dust clouds in images", Proc. SPIE 1312, Propagation Engineering: Third in a Series, (1 September 1990); https://doi.org/10.1117/12.21888

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