Khaing Moe Nyunt creator Kusanagi, Michiro Chairperson Borne, Frederic Co-Chairperson Srisaang Kaojarern Examination committee Yangon City Development Committee Scholarship donor text series technical report th Pathum Thani, Thailand Asian Institute of Technology 2003 continuing eng 64 leaves In urban areas, it has been long a challenge topic to automatically extract urban objects from images due to the high object density and scene complexity. Applying normal image processing methods could not achieve satisfied performance, especially for high-resolution satellite images. This paper presents a visual and manual approach for building extraction from single high-resolution IKONOS satellite images for dynamic City planning with taxation purposes. A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Advanced Technologies Thesis (M. Sc.) - Asian Institute of Technology, 2003 Geographic information systems Malaysia Remote-sensing images Malaysia Buildings Malaysia Asian Institute of Technology. http://203.159.5.9/ait-thesis/detail.php?q=B08865 http://203.159.5.9/ait-thesis/detail.php?q=B08865 040820 20260818143613.0