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- W188695985 abstract "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." @default.
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- W188695985 date "2004-01-01" @default.
- W188695985 modified "2023-09-26" @default.
- W188695985 title "Per-field classification of Indian urban environment using IRS-1c satellite data" @default.
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