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Figure 1. This paper is organized into five sections.In Section 1, Marker-based watershed image segmentation is described
Figure 22002 and (b) 2005(758resolution of 2The number of objects extracted from image segmentation by marker-based watershed method is 625
Table 2converting to bare land at Nonetheless, the probability of the lake at and the bare land class all have strong reflectivity with high gray value, thus, a classifier only considering spectral more likely adjacent to the building than the road inspace
Table 4.Error matrix of the land-cover transitions of the objects by the proposed algorithm

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