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Báo cáo hóa học: "Research Article Statistical Real-time Model for Performance Prediction of Ship Detection from Microsatellite Electro-Optical Imagers"

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 Statistical Real-time Model for Performance Prediction of Ship Detection from Microsatellite Electro-Optical Imagers | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 475948 15 pages doi 10.1155 2010 475948 Research Article Statistical Real-time Model for Performance Prediction of Ship Detection from Microsatellite Electro-Optical Imagers Fabian D. Lapierre Alexander Borghgraef and Marijke Vandewal CISS Department Royal Military Academy Avenue de la Renaissance 30 1000 Brussels Belgium Correspondence should be addressed to Fabian D. Lapierre fabian.lapierre@rma.ac.be Received 1 July 2009 Revised 13 October 2009 Accepted 5 November 2009 Academic Editor Frank Ehlers Copyright 2010 Fabian D. Lapierre 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. For locating maritime vessels longer than 45 meters such vessels are required to set up an Automatic Identification System AIS used by vessel traffic services. However when a boat is shutting down its AIS there are no means to detect it in open sea. In this paper we use Electro-Optical EO imagers for noncooperative vessel detection when the AIS is not operational. As compared to radar sensors EO sensors have lower cost lower payload and better computational processing load. EO sensors are mounted on LEO microsatellites. We propose a real-time statistical methodology to estimate sensor Receiver Operating Characteristic ROC curves. It does not require the computation of the entire image received at the sensor. Wethen illustrate the use of this methodology to design a simple simulator that can help sensor manufacturers in optimizing the design of EO sensors for maritime applications. 1. Introduction Since a couple of years the number of illegal acts for taking control of maritime vessels has increased. For search-and-rescue reasons it is suitable to find efficient sensor systems for detecting vessels. Vessel candidates for