AN IMPROVED UNSUPERVISED IMAGE SEGMENTATION EVALUATION APPROACH BASED ON UNDER- AND OVER-SEGMENTATION AWARE
2018 ◽
Vol IV-3
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pp. 197-204
Keyword(s):
In this paper, an unsupervised evaluation scheme for remote sensing image segmentation is developed. Based on a method called under- and over-segmentation aware (UOA), the new approach is improved by overcoming the defect in the part of estimating over-segmentation error. Two cases of such error-prone defect are listed, and edge strength is employed to devise a solution to this issue. Two subsets of high resolution remote sensing images were used to test the proposed algorithm, and the experimental results indicate its superior performance, which is attributed to its improved OSE detection model.
2011 ◽
Vol 66
(4)
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pp. 473-483
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2014 ◽
Vol 14
(03)
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pp. 1450014
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2018 ◽
Vol 84
(10)
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pp. 629-646
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2011 ◽
pp. 1812-1817
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2016 ◽
pp. 596-608
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2019 ◽
Vol 52
(1)
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pp. 613-631
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Keyword(s):
2009 ◽
Vol 35
(8)
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pp. 1574-1581
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2019 ◽
Vol 12
(1)
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pp. 379