Object-based approach to integrate remotely sensed data with geodata within a GIS context for land-use classification at urban-rural fringe area

Ryan S. M. Wang; Stuart A. Roberts; Nicholas David Efford

doi:10.1117/12.295613

22 December 1997 Object-based approach to integrate remotely sensed data with geodata within a GIS context for land use classification at urban-rural fringe area

Ryan S. M. Wang, Stuart A. Roberts, Nicholas David Efford

Author Affiliations +

Proceedings Volume 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing; (1997) https://doi.org/10.1117/12.295613
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom

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.

Citation Download Citation

Ryan S. M. Wang, Stuart A. Roberts, and Nicholas David Efford "Object-based approach to integrate remotely sensed data with geodata within a GIS context for land use classification at urban-rural fringe area", Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); https://doi.org/10.1117/12.295613

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