Intelligent real time GIS based classificatory method for maritime surveillance systems

Đorđević, Zorana

doi:10.1109/sisy.2011.6034327

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2015

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“…By doing the original experiments described in the papers [16][17][18][19], two methods are used: normalized crosscorrelation and the Shi-Tomasi method. By experimenting with these two methods, it was observed (by a human operator) that the threshold values should have to be changed periodically for obtaining good detection results.…”

Section: Introductionmentioning

confidence: 99%

Suboptimal threshold estimation for detection of point-like objects in radar images

Đorđević¹,

Graovac

Mitrović

2015

J Image Video Proc.

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There are many methods for detection of point-like features in gray-leveled bitmap images. The problem of defining a threshold for acceptance or rejection of the results is usually neglected or left to experts. In this paper, a novel method of estimating suboptimal detection threshold values is proposed. It is based on overlapping the results of two or three different methods parametrized with respective thresholds. The quality functions (of two or three variables), whose global extrema (maximum) approximately correspond to the suboptimal levels of thresholds for the used methods, are defined. This method was applied to a series of the bitmaps generated by a radar sensor and by simulated bitmaps.

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Section: Introductionmentioning

confidence: 99%