Information Extraction of High-Resolution Remotely Sensed Imagery Based on Object-Oriented Method

Abstract:

In this study, on the basis of pixel-based classification, object-oriented classification method was used to extract information from high resolution satellite imagery. Select the Binhai New Area as the study area,World View-2 data was selected as data sources, the rule sets of information extraction developing were established firstly, then the parameters of imagery segmentation and classification were tested repeatedly to achieve building hierarchies and map elements. The results showed that object-oriented information extraction method was feasible, and the extracted information was used to produce thematic map on the ArcGIS platform.

• Periodical: Applied Mechanics and Materials (Volumes 513-517)
• Pages: 1527-1531
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.513-517.1527
• Online since: February 2014
• Authors: Fu Lei Zhan, Guo Dong Yang, Xu Qing Zhang*, Xue Feng Niu, Peng Shao, Tian Qi Tang
• Keywords: Hierarchical Classification, High Resolution Satellite Imagery, Multiresoulution Segmentation, Object-Oriented, Rule Set Developing

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