The research on extracting method of microscale remote sensing information combination and application in coastal zone

YANG Xiao-mei; GONG Jian-ming; GAO Zhen-yu

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YANG Xiao-mei, GONG Jian-ming, GAO Zhen-yu. The research on extracting method of microscale remote sensing information combination and application in coastal zone[J]. Haiyang Xuebao, 2009, 31(2): 40-48.

Citation:

YANG Xiao-mei, GONG Jian-ming, GAO Zhen-yu. The research on extracting method of microscale remote sensing information combination and application in coastal zone[J]. Haiyang Xuebao, 2009, 31(2): 40-48.

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The research on extracting method of microscale remote sensing information combination and application in coastal zone

State Key Laboratory of Resource and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Received Date: 2009-01-05
Rev Recd Date: 2009-03-09

Abstract

Abstract

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 cannotmeet the needs of this development trend.Attempt is to present an information extraction approach in terms of image segmentation based on an object-orientedal-gorithm for high-resolution remote sensing images.The aim of research is to establish an identification system of "pixel-primitive-object".Through extraction and combination of microscale coastal zone features, some objects are classified or recognized, e.g., beach, coast line, sea wall, and mariculture pond.First, various internal characteristics of relatively homogeneous primitive objects are extracted using an image segmentation algorithm based on both spectral and shape information.Second, the features of those primitives are analyzed to ascertain an optimal object by adopting certain feature rules.Results indicate that the model is practical to realize and the extraction accuracy of the coastal information is significantly improved compared with the traditional approaches.Therefore, this model provides a potential way to serve highly dynamic coastal zones for monitoring, management, development and utilization.
- object-oriented,
- image segmentation,
- coastal zone,
- information extraction

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References(27)

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