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28 October 2006 A new approach of automatic extracting features information based on remote sensing image
Luming Fang, Hongli Ge, Lihua Tang, Xiongwei Lou
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Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 641919 (2006) https://doi.org/10.1117/12.713153
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China
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.
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Luming Fang, Hongli Ge, Lihua Tang, and Xiongwei Lou "A new approach of automatic extracting features information based on remote sensing image", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 641919 (28 October 2006); https://doi.org/10.1117/12.713153
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KEYWORDS
Image segmentation
Remote sensing
Image classification
Image quality
Classification systems
Fuzzy logic
Spherical lenses
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