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Proceedings Paper

A new approach of automatic extracting features information based on remote sensing image
Author(s): Luming Fang; Hongli Ge; Lihua Tang; Xiongwei Lou
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Paper Abstract

The researches on automatic extracting features information of farm crop, forest and territory resources etc. from remote-sensing image are being done at home and abroad. The paper put forward a new approach based on existed many approach, that merge the category based on the foundation of the traditional cluster. The new approach includes two steps: Firstly, choose a small scale to cluster and not need a category corresponding with a integrate region in image space. Secondly, take the category generated in the first step as object, then merge the category, form the corresponding relationship of the image region and category. The Step is a core of the new approach, it systematize the image segmentation based on multidimensional histograms and form a new approach, which by creating the Separating, Closeness (borderline connect, borderline disconnect and integrate)Tighten Index in characteristic space, creating Gathering, Capturing, Equality, Average between clusters and Average in the cluster Index in image space, Division and classification do constantly between the characteristic space and image space, changing the shortage of single space approach, extracting the features information more effective.

Paper Details

Date Published: 28 October 2006
PDF: 6 pages
Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 641919 (28 October 2006); doi: 10.1117/12.713153
Show Author Affiliations
Luming Fang, Zhejiang Forestry Univ. (China)
Hongli Ge, Zhejiang Forestry Univ. (China)
Lihua Tang, Zhejiang Forestry Univ. (China)
Xiongwei Lou, Zhejiang Forestry Univ. (China)


Published in SPIE Proceedings Vol. 6419:
Geoinformatics 2006: Remotely Sensed Data and Information
Liangpei Zhang; Xiaoling Chen, Editor(s)

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