2010
DOI: 10.1134/s1064230710060158
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Decision making algorithms in the problem of object selection in images of ground scenes

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Cited by 5 publications
(17 citation statements)
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“…Thus it is known a priori that the desired object belongs to the image (only the coordinates of the target point location in the CI are unknown). This paper logically continues paper [3] specified above in the application not only the information about image contours and references of objects, but also infor mation about angular orientation of image edges and references of these objects and angular orientation of boundaries of patterns and references of salient terrain fragments.…”
Section: Introductionmentioning
confidence: 94%
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“…Thus it is known a priori that the desired object belongs to the image (only the coordinates of the target point location in the CI are unknown). This paper logically continues paper [3] specified above in the application not only the information about image contours and references of objects, but also infor mation about angular orientation of image edges and references of these objects and angular orientation of boundaries of patterns and references of salient terrain fragments.…”
Section: Introductionmentioning
confidence: 94%
“…However distinctions between these problems take place in all stages of decision making: problem statement, methods of specifying prior information, formulated statistical hypotheses, decision rules applied, and other aspects of solving these problems; in detail the similarity and distinctions of the selection problem and the recognition problem were presented in [4]. The solution of the problem of the problem of detection and localization of a given object in an image of a ground 3D scene [3], when the conditions of its observation (errors in the navigation system of the PV, errors in orientation of the optical axis of the onboard sensor of the CI to the calculated point, errors of prior information of the observation scene, in the parameters of the onboard sensor of the CI, etc.) are such that the image of the given object with the probability equal to one, is present in the CI is an example of practical application of this approach.…”
Section: Introductionmentioning
confidence: 99%
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“…One of the stages in selecting a given object in the image of a complex three-dimensional terrestrial scene obtained by the onboard sensor of an unmanned aerial vehicle is considered in [9]. However, the algorithm that implements a set of procedures for processing and analyzing images as well as deciding on the coordinates of the location of a given object in the CI is designed without taking into account the content of the image scene.…”
Section: A Methods For Localizing a Reference Object In A Current Imagmentioning
confidence: 99%