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Titolo:
THE USE OF CENSUS-DATA IN URBAN IMAGE CLASSIFICATION
Autore:
MESEV V;
Indirizzi:
UNIV BRISTOL,SCH GEOG SCI BRISTOL BS8 1SS AVON ENGLAND
Titolo Testata:
Photogrammetric engineering and remote sensing
fascicolo: 5, volume: 64, anno: 1998,
pagine: 431 - 438
Fonte:
ISI
Lingua:
ENG
Soggetto:
REMOTELY-SENSED DATA; MAXIMUM-LIKELIHOOD CLASSIFICATION; PRIOR PROBABILITIES; LAND-USE; DIGITAL CLASSIFICATION; TM DATA; INTEGRATION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
23
Recensione:
Indirizzi per estratti:
Citazione:
V. Mesev, "THE USE OF CENSUS-DATA IN URBAN IMAGE CLASSIFICATION", Photogrammetric engineering and remote sensing, 64(5), 1998, pp. 431-438

Abstract

A supervised classification strategy containing a suite of techniquesthat allow the linking of urban land cover from remotely sensed data with urban functional characteristics from population census data is outlined and demonstrated. For a stronger link, census tract data are also interpolated into more disaggregated and more precise raster-basedsurfaces using GIS. Census data in tabular and surface format are then used to modify maximum-likelihood classifications through stratifiedclass a priori probabilities, and in terms of assisting the selectionof training samples and contextual post-classification sorting. The strategy is applied to the classification of housing density of four settlements in the United Kingdom. The results show high size-specific accuracy, and improvements in class area estimates.

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Documento generato il 23/09/20 alle ore 23:18:54