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Proceedings Paper

Object-based approach to integrate remotely sensed data with geodata within a GIS context for land-use classification at urban-rural fringe area
Author(s): Ryan S. M. Wang; Stuart A. Roberts; Nicholas David Efford
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Paper Abstract

An object-based approach for producing land use maps will be described in this paper. This approach has been used for integrating Landsat TM data within a GIS context for producing land use maps of urban-rural fringe areas. A contextual image classification method based on the SMAP estimate was used to produce land cover maps which provide knowledge for inferring land use types. Objectized land cover information, thematic knowledge and spatial composition rulers were used to infer the land use type of each object are. The prototype of this approach has been built using the GRASS 4.1 GIS software package and tested using a dataset compiled for this purpose. Results indicate a significant improvement compared with land use maps produced using a contextual image classification approach alone.

Paper Details

Date Published: 22 December 1997
PDF: 10 pages
Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); doi: 10.1117/12.295613
Show Author Affiliations
Ryan S. M. Wang, Univ. of Leeds (United Kingdom)
Stuart A. Roberts, Univ. of Leeds (United Kingdom)
Nicholas David Efford, Univ. of Leeds (United Kingdom)


Published in SPIE Proceedings Vol. 3217:
Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing
Jacky Desachy; Shahram Tajbakhsh, Editor(s)

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