An improved Fourier-based sub-pixel image registration algorithm for raw image sequence of LASIS

Xiaolong Ma; Jianfeng Yang; Weidong Qiao; Bin Xue

doi:10.1117/12.791274

5 March 2008 An improved Fourier-based sub-pixel image registration algorithm for raw image sequence of LASIS

Xiaolong Ma, Jianfeng Yang, Weidong Qiao, Bin Xue

Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 66230A (2008) https://doi.org/10.1117/12.791274
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

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.

Citation Download Citation

Xiaolong Ma, Jianfeng Yang, Weidong Qiao, and Bin Xue "An improved Fourier-based sub-pixel image registration algorithm for raw image sequence of LASIS", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66230A (5 March 2008); https://doi.org/10.1117/12.791274

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