Per-field classification of Indian urban environment using IRS-1c satellite data
Pathak, Virendra & Dikshit, Onkar (2004) Per-field classification of Indian urban environment using IRS-1c satellite data. In 3rd International Symposium on New Technologies for Urban Safety of Mega Cities in Asia, 18-19 October 2004, Agra, India.
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The paper presents investigations to determine the suitability of conventional per-pixel approach and results of per-field (segment) classification for classifying Indian urban environment using high spatial resolution satellite data. Three different types of classifications were performed: the per-pixel classification, per-field GML classification and the per-field neural classification. Result showed that per-field classification improves overall classification accuracy up to 25% in comparison to per-pixel approach.
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|Item Type:||Conference Paper|
|Keywords:||Per field Classification, Thresholding, Wavelet, GMLC, Backpropagation|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Schools > School of Urban Development
|Copyright Owner:||Copyright 2004 [please consult the authors]|
|Deposited On:||24 Feb 2009 11:48|
|Last Modified:||10 Aug 2011 23:52|
Available Versions of this Item
- Segment based classification of Indian urban environment. (deposited 24 Feb 2009 11:22)
- Per-field classification of Indian urban environment using IRS-1c satellite data. (deposited 24 Feb 2009 11:48)[Currently Displayed]
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