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	Research on extracting method of micro-scale remote sensing information combination and application in coastal zone
	Yang X. M. ; Zhou C. H. ; Gong J. M. ; Gao Z. Y.
	2009
关键词	Object-oriented Image Segmentation Coastal Zone Information Extraction maximum-likelihood em algorithm image
英文摘要	Due to the need of rapid and sustainable development in China's coastal zones, the high-resolution information theory using data mining technology becomes an urgent research focus. However, the traditional pixel-based image analysis methods cannot meet the needs of this development trend. The paper attempts to present an information extraction approach in terms of image segmentation based on an object-oriented algorithm for high-resolution remote sensing images. An aim of the author' research is to establish an identification system of "pixel-primitive-object". Through extraction and combination of micro-scale coastal zone features, some objects are classified or recognized, e.g., tidal flat, water line, sea wall, and mariculture pond. Firstly, the authors extract various internal features of relatively homogeneous primitive objects using an image segmentation algorithm based on both spectral and shape information. Secondly, the features of those primitives are analyzed to ascertain an optimal object by adopting certain feature rules. The results from this research indicate that our model is practical to realize and the extraction accuracy of the coastal information is significantly improved as compared with the traditional approaches. Therefore, this study provides a potential way to serve the author' highly dynamic coastal zones for monitoring, management, development and utilization.
出处	Acta Oceanologica Sinica
卷	28
期	5
页	30-38
收录类别	SCI
语种	英语
ISSN号	0253-505X
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/22572]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Yang X. M.,Zhou C. H.,Gong J. M.,et al. Research on extracting method of micro-scale remote sensing information combination and application in coastal zone. 2009.

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