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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ID Code: 18217
Item Type: Conference Paper
Refereed: Yes
Keywords: Per field Classification, Thresholding, Wavelet, GMLC, Backpropagation
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2004 [please consult the authors]
Deposited On: 24 Feb 2009 01:48
Last Modified: 25 Jun 2017 14:39

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