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http://dx.doi.org/10.7780/kjrs.2011.27.1.033

Development of Android Smartphone App for Corner Point Feature Extraction using Remote Sensing Image  

Kang, Sang-Goo (Dept. of Information Systems Engineering, Hansung University)
Lee, Ki-Won (Dept. of Information Systems Engineering, Hansung University)
Publication Information
Korean Journal of Remote Sensing / v.27, no.1, 2011 , pp. 33-41 More about this Journal
Abstract
In the information communication technology, it is world-widely apparent that trend movement from internet web to smartphone app by users demand and developers environment. So it needs kinds of appropriate technological responses from geo-spatial domain regarding this trend. However, most cases in the smartphone app are the map service and location recognition service, and uses of geo-spatial contents are somewhat on the limited level or on the prototype developing stage. In this study, app for extraction of corner point features using geo-spatial imagery and their linkage to database system are developed. Corner extraction is based on Harris algorithm, and all processing modules in database server, application server, and client interface composing app are designed and implemented based on open source. Extracted corner points are applied LOD(Level of Details) process to optimize on display panel. Additional useful function is provided that geo-spatial imagery can be superimposed with the digital map in the same area. It is expected that this app can be utilized to automatic establishment of POI (Point of Interests) or point-based land change detection purposes.
Keywords
Smartphone; Open Source; Remote Sensing Images; App; Harris Algorithm; Corner Point;
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Times Cited By KSCI : 2  (Citation Analysis)
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