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26 July 2007 Efficient IBP with super resolution for ALOS imagery
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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.
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Feng Li, Donald Fraser, and Xiuping Jia "Efficient IBP with super resolution for ALOS imagery", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 675242 (26 July 2007);

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