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Transactions: WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT
Transactions ID Number: 29-758
Full Name: Thanatchai Kulworawanichpong
Position: Assistant Professor
Age: ON
Sex: Male
Address: 111 University Avenue, Nakhon Ratchasima
Country: THAILAND
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E-mail address: thanatchai@gmail.com
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Title of the Paper: Community Identification Based on Multispectral Image Classification for Local Electric Power Distribution Systems
Authors as they appear in the Paper: Tatiya Luemongkol, Thanatchai Kulworawanichpong
Email addresses of all the authors: thanatchai@gmail.com
Number of paper pages: 10
Abstract: This paper illustrated an approach of identifying community size in feeding area of local MV power distribution systems by using satellite image processing. Information of community size is essential and can be useful to estimate electric energy used by local customers. Infrared band of satellite images can be used for this purpose. ENVI and GIS ArcView software are both working tools in this paper. Satellite images of LANDSAT 7 covered a test area in Nakhon Ratchasima 2 distribution feeders were employed for test. The results obtained from the satellite image processing based on ISODATA unsupervised classification can be used in associative with GIS information of the power distribution feeder to visualize feeder load allocation in the community point of view.
Keywords: Multispectral, Satellite imagery, ISODATA, Unsupervised classification, Minimum square error
EXTENSION of the file: .pdf
Special (Invited) Session: Identifying Community in Feeding Areas of Local MV Power Distribution Systems Based on Multispectral Image Classification
Organizer of the Session: 617-380
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