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Research Papers

Design and Implementation of a High Spatial Resolution Remote Sensing Image Intelligent Interpretation System

Author:

Deng-Kui Mo

Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Shaoshan Road 498th, Changsha, Hunan, P. R. China, 410004
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Abstract

Very high spatial resolution remote sensing images have applications in many fields. However, research on the intelligent interpretation of such images is insufficient partly because of their the complexity and large size. In this study, a high spatial resolution remote sensing image intelligent interpretation system (HSR-RSIIIs) was designed with image segmentation, a geographical information system, and a data-mining algorithm. Some key methods such as image segmentation, feature extraction, feature selection, and classification algorithm for interpreting high spatial resolution remote sensing image have been studied. A land cover classification experiment was performed in the Zhuzhou area using a Quickbird multi-spectral image. The classification results were consistent with the visual interpretation results. In additional, the proposed interpretation method was compared with the traditional pixel-based method. The results indicate that the method proposed in the literature is more effective and intelligent than that used previously.
DOI: http://doi.org/10.2481/dsj.6.S445
How to Cite: Mo, D.-K., (2007). Design and Implementation of a High Spatial Resolution Remote Sensing Image Intelligent Interpretation System. Data Science Journal. 6, pp.S445–S452. DOI: http://doi.org/10.2481/dsj.6.S445
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Published on 10 Aug 2007.
Peer Reviewed

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