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M. Kim and T. Warner, “Estimation of Optimal Image Object Size for the Segmentation Stands with Multispectral IKONOS Imagery,” In: T. Blaschke, S. Lang and G. J. Hay, Eds., Object-Based Image Analysis-Spatial Concepts for Knowledge Driven Remote Sensing Application, Springer, Berlin, 2008, pp. 291-307.

has been cited by the following article:

• TITLE: Optimal Scale Selection for DEM Based Slope Segmentation in the Loess Plateau

  AUTHORS: Mingwei Zhao, Fayuan Li, Guo'an Tang

  KEYWORDS: Optimal Scale; Multiresolution; Slope Segmentation; Loess Plateau

  JOURNAL NAME: International Journal of Geosciences, Vol.3 No.1, February 28, 2012

  ABSTRACT: Optimal scale selection is the key step of the slope segmentation. Taking three geomorphological units in different parts of the loess as test areas and 5 m-resolution DEMs as original test date, this paper employed the changed ROC-LV (Lucian, 2010) in judging the optimal scales in the slope segmentation process. The experiment results showed that this method is effective in determining the optimal scale in the slope segmentation. The results also showed that the slope segmentation of the different geomorphological units require different optimal scales because the landform complexity is varied. The three test areas require the same scale which could distinguish the small gully because all the test areas have many gullies of the same size, however, when come to distinguish the basins, since the complexity of the three areas is different, the test areas require different scales.