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Land Cover Object-oriented Base Classification Using Digital Aerial Photo Image  

Lee, Hyun-Jik (상지대학교 건설시스템공학과)
Lu, Ji-Ho (상지대학교 대학원 토목공학과)
Kim, Sang-Youn (상지대학교 대학원 토목공학과)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.19, no.1, 2011 , pp. 105-113 More about this Journal
Abstract
Since existing thematic maps have been made with medium- to low-resolution satellite images, they have several shortcomings including low positional accuracy and low precision of presented thematic information. Digital aerial photo image taken recently can express panchromatic and color bands as well as NIR (Near Infrared) bands which can be used in interpreting forest areas. High resolution images are also available, so it would be possible to conduct precision land cover classification. In this context, this paper implemented object-based land cover classification by using digital aerial photos with 0.12m GSD (Ground Sample Distance) resolution and IKONOS satellite images with 1m GSD resolution, both of which were taken on the same area, and also executed qualitative analysis with ortho images and existing land cover maps to check the possibility of object-based land cover classification using digital aerial photos and to present usability of digital aerial photos. Also, the accuracy of such classification was analyzed by generating TTA(Training and Test Area) masks and also analyzed their accuracy through comparison of classified areas using screen digitizing. The result showed that it was possible to make a land cover map with digital aerial photos, which allows more detailed classification compared to satellite images.
Keywords
Object-oriented Classification; Digital Aerial Photo Image; Land Cover Map;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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