YANG Xiaomei; ZHOU Chenghu; GONG Jianming; GAO Zhenyu
Source Publicationactaoceanologicasinica
AbstractDue 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.
Funding Project["973" Project of China] ; ["863" Project of China] ; [National Natural Science Foundation of China]
Document Type期刊论文
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
YANG Xiaomei,ZHOU Chenghu,GONG Jianming,et al. researchonextractingmethodofmicroscaleremotesensinginformationcombinationandapplicationincoastalzone[J]. actaoceanologicasinica,2009,28(5):30.
APA YANG Xiaomei,ZHOU Chenghu,GONG Jianming,&GAO Zhenyu.(2009).researchonextractingmethodofmicroscaleremotesensinginformationcombinationandapplicationincoastalzone.actaoceanologicasinica,28(5),30.
MLA YANG Xiaomei,et al."researchonextractingmethodofmicroscaleremotesensinginformationcombinationandapplicationincoastalzone".actaoceanologicasinica 28.5(2009):30.
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