Selection of best-fitting scale parameters in image segmentation based on multiscale segmentation image database

doi:10.6046/gtzyyg.2016.04.09

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Abstract

Finding the best-fitting parameters in image segmentation is of great importance for object-oriented information extraction. The try-and-error strategy and visual analysis on multiresolution segmentation are widely used in real practice, but they cannot analyze a large number of segmentation results. This paper proposes a procedure for picking segmentation parameters based on multiresolution segmentation image database and visual analysis. The experiment of multiresolution segmentation on SPOT5 image shows that the proposed procedure is capable of finding the best fitting parameters. The procedure is more efficient and effective than the traditional try-and-error strategy, and there is good potential for the procedure to be used in practical image analysis application.

Keywords remote sensing evaportransporation(ET) time spreading evaporation ratio time integration method sinusoid method crop coefficient method canopy resistance

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Issue Date: 20 October 2016

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	LIU Suhua
	TIAN Jing
	MI Sujuan

Cite this article:

LIU Suhua,TIAN Jing,MI Sujuan. Selection of best-fitting scale parameters in image segmentation based on multiscale segmentation image database[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 59-63.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.04.09 OR https://www.gtzyyg.com/EN/Y2016/V28/I4/59

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