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《Geospatial Information》 2014-01
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Research on Forestland Information Extraction Based on the Thematic Overlap

WANG Jing;  
This paper studied on the subcompartment division and the object-oriented forestland information extraction combining with SPOT5 image date of forestland dividing boundaries of Hunan province. Original vector data was involved in image segmentation as the thematic layer which improved the precision of automatical subcompartment extraction. And then, this paper established a generic feature-based database relative to the data under the best segmentation scales, and realized the automation of forest classii cation. Considering the limitations of the amount of image information, this paper used the information of thematic layer to expand the feature-based database and completed the more detailed classii cation of forest.
【Fund】: 国家自然科学基金资助项目(41201474)
【CateGory Index】: P237
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