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Abstract

Given a set of remotely sensed images with different spatial and spectral resolutions, information preserving
techniques of pixel-level image fusion can be used to generate a synthesised image that maximises the
preservation of both the spectral and the spatial information available from the source images. These
techniques have the potential for improving the quality of information on urban fringe land cover patterns, which
are important to many applications. Here, we assess the feasibility of extracting useful land cover information in
order to derive more accurate spatial information to inform sustainable land-use of the urban fringe. After a brief review of some existing pixel-level image fusion techniques, the results from applying a wavelet transform
based pixel-level image fusion technique on subsets of TM and SPOT images over a portion of the eastern
fringe of Melbourne are evaluated in terms of spectral fidality and spatial enhancement. We argue that the
wavelet fusion technique demonstrated here may provide an efficient and cost-effective means to support
enhanced land cover and land use assessment.

Item Type:	Article
Authors/Creators:	Liu, GJ and Norton, TW and Pettit, CJ
Keywords:	Urban-rural fringe land use, sustainable management, wavelet transformation, pixel-level image fusion, TM, SPOT
Journal or Publication Title:	The feasibility of extracting urban fringe land cover information from pixel-level fused TM and SPOT images
DOI / ID Number:	#2447
Item Statistics:	View statistics for this item

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