Abstract

This paper proposes a method of detecting dynamic objects on an image from an optoelectronic device when there is a complex background formed by dense cumulus and altocumulus clouds. The image of the object is a small (point), low-contrast image. The fractal-correlation method is based on the use of a sample in the form of the ratio of the likelihood functions of close-by alternative situations of the type “only a complex background is observed in the viewing zone of the optoelectronic device” or “a dynamic object on a complex background is observed in the viewing zone of the optoelectronic device.” An algorithm is constructed for detecting a dynamic object as a binary accumulator, using the local, most powerful criterion. The critical limit for making a decision is determined according to the Neyman–Pearson lemma for the allowable false-detection probability of a dynamic object. Modelling is used to establish the high effectiveness of the method.

© 2015 Optical Society of America

Accurate detection of spherical objects in a complex background

U. Gasser and B. Zhou
Opt. Express 29(23) 37048-37065 (2021)

Detection of moving point objects against a moving background

John A. Saghri and Alexander A. Sawchuk
Appl. Opt. 24(11) 1662-1667 (1985)

Improved space object detection using short-exposure image data with daylight background

David Becker and Stephen Cain
Appl. Opt. 57(14) 3968-3975 (2018)

Detection and Resolution of Incoherent Objects by a Background-Limited Optical System*

Carl W. Helstrom
J. Opt. Soc. Am. 59(2) 164-175 (1969)

Methods to detect objects in photon-limited images

Ahmad Abu-Naser, Nikolas P. Galatsanos, and Miles N. Wernick
J. Opt. Soc. Am. A 23(2) 272-278 (2006)