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Proceedings Paper

Fast processing of imaging spectrometer data cube based on FPGA design
Author(s): Yongdao Luo; Ningfang Liao; Xinquan Wang; Minyong Liang; Jie Fen
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Paper Abstract

This paper presents a hardware-based implementation, which is specially designed for fast processing data cube of the novel imaging spectrometer, the Computed-Tomography Imaging Interferometer (CTII). CTII is the combination of the conventional Fourier Transformation Imaging Spectrometer (FTIS) and the Computed-Tomography Imaging Spectrometer (CTIS). CTII retains the advantages of both FTIS and CTIS such as high etendue, high spectral resolution. The price paid for above advantages is much enormous amounts of calculation compared with FTIS and CTIS. The CTII algorithm mainly includes two processing parts. One is Fast Fourier Transformation (FFT) Algorithm, the other is the Convolution Back-Projection (CBP) Algorithm. Since these two parts can be dealt separately, we introduced the pipeline processing technology. In this paper, we develop a hardware-based version of the CTII algorithm to improve its computational performance by resorting to Field Programmable Gate Arrays (FPGA) reconfigurable boards. The proposed FPGA design represents our first step toward the development of a system for onboard analysis of CTII hyperspectral imagery. The results we obtained demonstrate that the concept of the Computed-Tomography Imaging Interferometer (CTII) is correct, and the hardware-based version of the CTII algorithm is high efficiency in processing CTII data cube.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 678708 (15 November 2007); doi: 10.1117/12.742218
Show Author Affiliations
Yongdao Luo, Beijing Institute of Technology (China)
Ningfang Liao, Beijing Institute of Technology (China)
Xinquan Wang, Beijing Institute of Technology (China)
Minyong Liang, Beijing Institute of Technology (China)
Jie Fen, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing

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