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Abstract
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Article Information:
Hyperspectral Remote Sensing of Urban Areas: An Overview of Techniques and Applications
Helmi Z.M. Shafri, Ebrahim Taherzadeh, Shattri Mansor and Ravshan Ashurov
Corresponding Author: Helmi Z.M. Shafri
Submitted: January 08, 2012
Accepted: February 06, 2012
Published: June 01, 2012 |
Abstract:
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Over the past two decades, hyperspectral remote sensing from airborne and satellite systems has been
used as a data source for numerous applications. Hyperspectral imaging is quickly moving into the mainstream
of remote sensing and is being applied to remote sensing research studies. Hyperspectral remote sensing has
great potential for analysing complex urban scenes. However, operational applications within urban
environments are still limited, despite several studies that have explored the capabilities of hyperspectral data
to map urban areas. In this paper, we review the methods for urban classification using hyperspectral remote
sensing data and their applications. The general trends indicate that combined spatial-spectral and sensor fusion
approaches are the most optimal for hyperspectral urban analysis. It is also clear that urban hyperspectral
mapping is currently limited to airborne data, despite the availability of spaceborne hyperspectral systems.
Possible future research directions are also discussed.
Key words: Airborne, classification, hyperspectral, spatial, spectral, urban,
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Cite this Reference:
Helmi Z.M. Shafri, Ebrahim Taherzadeh, Shattri Mansor and Ravshan Ashurov, . Hyperspectral Remote Sensing of Urban Areas: An Overview of Techniques and Applications. Research Journal of Applied Sciences, Engineering and Technology, (11): 1557-1565.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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