tailieunhanh - báo cáo hóa học:" Research Article Clusters versus GPUs for Parallel Target and Anomaly Detection in Hyperspectral Images"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Clusters versus GPUs for Parallel Target and Anomaly Detection in Hyperspectral Images | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 915639 18 pages doi 2010 915639 Research Article Clusters versus GPUs for Parallel Target and Anomaly Detection in Hyperspectral Images Abel Paz and Antonio Plaza Department of Technology of Computers and Communications University of Extremadura 10071 Caceres Spain Correspondence should be addressed to Antonio Plaza aplaza@ Received 2 December 2009 Revised 18 February 2010 Accepted 19 February 2010 Academic Editor Yingzi Du Copyright 2010 A. Paz and A. Plaza. 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. Remotely sensed hyperspectral sensors provide image data containing rich information in both the spatial and the spectral domain and this information can be used to address detection tasks in many applications. In many surveillance applications the size of the objects targets searched for constitutes a very small fraction of the total search area and the spectral signatures associated to the targets are generally different from those of the background hence the targets can be seen as anomalies. In hyperspectral imaging many algorithms have been proposed for automatic target and anomaly detection. Given the dimensionality of hyperspectral scenes these techniques can be time-consuming and difficult to apply in applications requiring real-time performance. In this paper we develop several new parallel implementations of automatic target and anomaly detection algorithms. The proposed parallel algorithms are quantitatively evaluated using hyperspectral data collected by the NASA s Airborne Visible Infra-Red Imaging Spectrometer AVIRIS system over theWorld Trade Center WTC in New York five days after the terrorist attacks that collapsed the two main towers in theWTC complex. 1. Introduction .