Ramachandra, TV and Kumar, Uttam (2005) Image fusion in GRDSS for Land use Mapping. In: Geomatics .
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Image fusion techniques are useful to integrate the geometric detail of a high-resolution panchromatic (PAN) image and the spectral information of a low-resolution multispectral (MSS) image, particularly important for understanding land use dynamics at larger scale (1:25000 or lower), which is required by the decision makers to adopt holistic approaches for regional planning. Fused images can extract features from source images and provide more information than one scene of MSS image. High spectral resolution aids in identification of objects more distinctly while high spatial resolution allows locating the objects more clearly. The geoinformatics technologies with an ability to provide high-spatial-spectral-resolution data helps in inventorying, mapping, monitoring and sustainable management of natural resources. Fusion module in GRDSS, taking into consideration the limitations in spatial resolution of MSS data and spectral resolution of PAN data, provide high-spatial-spectral-resolution remote sensing images required for land use mapping on regional scale. GRDSS is a freeware GIS Graphic User Interface (GUI) developed in Tcl/Tk is based on command line arguments of GRASS (Geographic Resources Analysis Support System) with the functionalities for raster analysis, vector analysis, site analysis, image processing, modeling and graphics visualization. It has the capabilities to capture, store, process, analyse, prioritize and display spatial and temporal data.
|Item Type:||Journal Article|
|Keywords:||Image fusion;GIS;Remote Sensing;GRDSS;GRASS;Geoinformatics|
|Department/Centre:||Division of Biological Sciences > Centre for Ecological Sciences
Division of Mechanical Sciences > Centre for Sustainable Technologies (formerly ASTRA)
|Date Deposited:||11 Oct 2011 05:01|
|Last Modified:||11 Oct 2011 05:01|
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