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Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Research Article FPGA Implementation of the Pixel Purity Index Algorithm for Remotely Sensed Hyperspectral Image Analysis | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 969806 13 pages doi 10.1155 2010 969806 Research Article FPGA Implementation of the Pixel Purity Index Algorithm for Remotely Sensed Hyperspectral Image Analysis Carlos Gonzalez 1 Javier Resano 2 Daniel Mozos 1 Antonio Plaza 3 and David Valencia3 1 Departament of Computer Architecture and Automatics Computer Science Faculty Complutense University of Madrid C Prof. Jose Garcia Santesmases s n 28040 Madrid Spain 2 Departament of Computer Architecture High Polytechnic Center University of Zaragoza C Mara de Luna 3 50018 Zaragoza Spain 3 Departament of Computer Technology and Communications Polytechnic School of Caceres University of Extremadura Avda. de la Universidad s n 10071 Cáceres Spain Correspondence should be addressed to Carlos Gonzalez carlosgonzalez@fdi.ucm.es Received 17 February 2010 Accepted 28 May 2010 Academic Editor Jar Ferr Yang Copyright 2010 Carlos Gonzalez et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Hyperspectral imaging is a new emerging technology in remote sensing which generates hundreds of images at different wavelength channels for the same area on the surface of the Earth. Over the last years many algorithms have been developed with the purpose of finding endmembers assumed to be pure spectral signatures in remotely sensed hyperspectral data sets. One of the most popular techniques has been the pixel purity index PPI . This algorithm is very time-consuming. The reconfigurability compact size and high computational power of Field programmable gate arrays FPGAs make them particularly attractive for exploitation in remote sensing applications with near real-time requirements. In this paper we present an FPGA design for implementation of the PPI algorithm. Our systolic .
