Open AccessPEMANFAATAN CITRA IKONOS UNTUK IDENTIFIKASI OBJEK PAJAK BUMI DAN BANGUNAN
Author(s) -
Wiji Lestari
Publication year - 2012
Publication title -
jurnal teknosains: jurnal ilmiah sains dan teknologi/jurnal teknosains : jurnal ilmiah sains dan teknologi
Language(s) - English
Resource type - Journals
eISSN - 2443-1311
pISSN - 2089-6131
DOI - 10.22146/teknosains.5880
Subject(s) - identification (biology) , remote sensing , computer vision , artificial intelligence , block (permutation group theory) , object (grammar) , computer science , geography , cartography , mathematics , botany , geometry , biology
Ikonos satellite image is an image that has a high spatial resolution with pixel accuracy of one meter for panchromaticand four-meter multispectral. Spesifkasi IKONOS imagery provides the ability to record an object one meter.Therefore the use of Ikonos imagery to identify objects and buildings Land Tax (PBB) is dimungkinkan.Untukdetermine the ability of Ikonos imagery in the identification of objects Land and Building Tax (PBB) conductedresearch that aims to determine the accuracy of the interpretation of Ikonos imagery for identification of objectsUN, UN to map objects based on Ikonos imagery interpretation, field survey and evaluate the results of BlockMaps uses map image interpretation Ikonos.Penelitian geografi.Pengumpulan using descriptive methods of datais done through the interpretation of Ikonos imagery, field tests, interviews and documentation. Data analysis isthe analysis of the level of image interpretation, analysis and map overlay analysis. The results showed that thelevel of interpretation of Ikonos imagery for identification of objects and the United Nations is 89.54% commissionerror is 10.46%. Results from a block map using Ikonos imagery interpretation of evaluation results have not yetregistered 269 objects in the map of Block UN tax. Can be concluded that the Ikonos imagery can be used as theprimary data source for identification of objects.Key words: Ikonos image, image interpretation, object identification, remote sensing, object of property tax.