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Proceedings Paper

Efficient IBP with super resolution for ALOS imagery
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Paper Abstract

Super-resolution (SR) recovery has become an important research area for remote sensing images ever since T.S. Huang first published his frequency method in 1984. Because of the development of computer technology, more and more efficient algorithms have been put forward in recent years. The Iteration Back Projection (IBP) method is one of the popular methods with SR. In this paper, a modified IBP is proposed for Advanced Land Observing Satellite (ALOS) imagery. ALOS is the Japanese satellite launched in January 2006 and carries three sensors: Panchromatic Remote-sensing Instrument of Stereo Mapping (PRISM), Advanced Visible and Near Infrared Radiometer type-2 (AVNIR-2) and Phased Array type L-band Synthetic Aperture Radar (PALSAR). The PRISM has three independent optical systems for viewing nadir, forward and backward so as to produce a stereoscopic image along the satellite's track. While PRISM is mainly used to construct a 3-D scene, here we use these three panchromatic low-resolution (LR) images captured by nadir, backward and forward sensors to reconstruct one SR image.

Paper Details

Date Published: 26 July 2007
PDF: 8 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 675242 (26 July 2007); doi: 10.1117/12.761314
Show Author Affiliations
Feng Li, Australian Defence Force Academy (Australia)
Donald Fraser, Australian Defence Force Academy (Australia)
Xiuping Jia, Australian Defence Force Academy (Australia)

Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information

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