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丛 书 名:Advanced Sciences and Technologies for Security Applications
版本说明:2007
I S B N:(纸本) 9780387367422
出 版 社:Springer New York
出 版 年:2007年
学科分类:080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 081105[工学-导航、制导与控制] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程]
摘 要:The Physics of Automatic Target Recognition is part of a series focusing on Advanced Sciences and Technologies for Security Applications. This book will address the fundamental physical bases of sensing, and information extraction in the state-of-the art automatic target recognition field. We will explore both passive and active multispectral sensing, polarimetric diversity, complex signature exploitation, sensor and processing adaptation, transformation of electromagnetic and acoustic waves in their interactions with targets, background clutter, transmission media, and sensing elements. The general inverse scattering, and advanced signal processing techniques and scientific evaluation methodologies being used in this multi disciplinary field will be part of this exposition. The issues of modeling of target signatures in various spectral modalities, LADAR, IR, SAR, high resolution radar, acoustic, seismic, visible, hyperspectral, in diverse geometric aspects will be addressed. The problem of clutter modeling from a physics point of view will be also explored. The methods for signal processing and classification will cover concepts such as sensor adaptive and artificial neural networks, time reversal filter. The issue of invariants of sensor and transmission transformations (geometrical, spectral and polarimetric invariants) will be explored . These invariants are crucial in the development of low latency and computationally manageable ATR systems. The book will address the issue of transformations that a signal goes through in its interactions with targets and background, in its passage through a medium and its final reception by a sensor. It is only through understanding these transformations that one can hope in addressing the inverse problem: the identification of originating sources of a signal (target recognition). Advanced Sciences and Technologies for Security Applications focuses on research monographs in th