Object-oriented information extraction of pond aquaculture

doi:10.6046/gtzyyg.2013.01.15

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Abstract

Based on the theory of object-oriented image analysis, this paper carried out a multi-scale segmentation of SPOT5 image to obtain sea use objects at different spatial scales. By integrating objects'spectral, shape and context features to formulate detailed procedures of information extraction, areas of pond aquaculture were identified with classification accuracy better than 94%, indicating that the method of object-oriented image analysis is effective in the extraction of pond aquaculture information in coastal areas. It would promote the operational monitoring and management of sea use.

Keywords landscape pattern gradient analysis buffer zone Houma City

TP79

Issue Date: 21 February 2013

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	PEI Gang
	LIU Yang-jie
	WANG Guo-liang

Cite this article:

PEI Gang,LIU Yang-jie,WANG Guo-liang. Object-oriented information extraction of pond aquaculture[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(1): 82-85.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.01.15 OR https://www.gtzyyg.com/EN/Y2013/V25/I1/82

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