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Proceedings Paper

An improved Fourier-based sub-pixel image registration algorithm for raw image sequence of LASIS
Author(s): Xiaolong Ma; Jianfeng Yang; Weidong Qiao; Bin Xue
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Paper Abstract

Previous studies indicate that parallel computing for hyperspectral remote sensing synthetic image generation is quite feasible. However, due to the limitation of computing ability within single cluster, one can only generate three bands and a 1000*1000 pixels image in a reasonable time period even using a 40-50 node parallel computing cluster. In this paper, we discuss the capability of using Grid computing where the so-called eScience or cyberinfrastructure is utilized to integrate distributed computing resources to act as a single virtual computer with huge scientific computational abilities and storage spaces. The technique demonstrated in this paper demonstrates the feasibility of a Grid-Enabled Monte Carlo Hyperspectral Synthetic Image Remote Sensing Model (GRID-MCHSIM) for future coastal water quality remote sensing algorithm developments and detection of bottom features and targets in water.

Paper Details

Date Published: 5 March 2008
PDF: 8 pages
Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66230A (5 March 2008); doi: 10.1117/12.791274
Show Author Affiliations
Xiaolong Ma, Xi'an Institute of Optics and Precision Mechanics (China)
Jianfeng Yang, Xi'an Institute of Optics and Precision Mechanics (China)
Weidong Qiao, Xi'an Institute of Optics and Precision Mechanics (China)
Bin Xue, Xi'an Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 6623:
International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing

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