ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume IV-3
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 197–204, 2018
https://doi.org/10.5194/isprs-annals-IV-3-197-2018
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 197–204, 2018
https://doi.org/10.5194/isprs-annals-IV-3-197-2018

  23 Apr 2018

23 Apr 2018

AN IMPROVED UNSUPERVISED IMAGE SEGMENTATION EVALUATION APPROACH BASED ON UNDER- AND OVER-SEGMENTATION AWARE

Tengfei Su Tengfei Su
  • Inner Mongolia Agricultural University, College of Water Conservancy and Civil Engineering, 010018 Inner Mongolia Hohhot, China

Keywords: Image Segmentation Evaluation, Unsupervised, Under- and Over-segmentation Aware, Over-Segmentation Error, Under-Segmentation Error, Edge Strength

Abstract. 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.