Physics of Automatic Target Recognition[原版非扫描]: Physics of Automatic Target Recognition.pdf

Contents
Preface.................................................................................... ix
Contributors ........................................................................... xi
1 Kernel-Based Nonlinear Subspace Target Detection
for Hyperspectral Imagery............................................... 1
Heesung Kwon and Nasser M. Nasrabadi
2 Theory of Invariant Algebra and Its Use in
Automatic Target Recognition......................................... 25
Firooz Sadjadi
3 Automatic Recognition of Underground Targets
Using Time–Frequency Analysis and
Optimization Techniques.................................................. 41
Guillermo C. Gaunaurd and Hans C. Strifors
4 A Weighted Zak Transform, Its Properties,
and Applications to Signal Processing............................. 57
Izidor Gertner and George A. Geri
5 Using Polarization Features of Visible Light
for Automatic Landmine Detection................................. 73
Wim de Jong and John Schavemaker
6 The Physics of Polarization-Sensitive Optical Imaging.... 91
Cornell S. L. Chun
7 Dispersion, Its Effects, and Compensation ...................... 105
Leon Cohen and Patrick Loughlin
8 Multisensor Target Recognition in Image Response
Space Using Evolutionary Algorithms............................. 127
Igor Maslov and Izidor Gertner
9 Biophysics of the Eye in Computer Vision: Methods
and Advanced Technologies ............................................. 143
Riad I. Hammoud and Dan Witzner Hansen
10 Two Approaches to 3D Microorganism Recognition Using
Single Exposure Online (SEOL) Digital Holography....... 175
Seokwon Yeom, Inkyu Moon, and Bahram Javidi
11 Distortion-Tolerant 3D Object Recognition by Using
Single Exposure On-Axis Digital Holography.................. 195
Daesuk Kim and Bahram Javidi
12 Design of Distortion-Invariant Optical ID Tags for
Remote Identification and Verification of Objects........... 207
Elisabet P´erez-Cabr´e, Mar´ıa Sagrario Mill´an, and Bahram Javidi
13 Speckle Elimination With a Maximum Likelihood
Estimation and an Isoline Regularization........................ 227
Nicolas Bertaux, Yann Frauel, and Bahram Javidi
Index....................................................................................... 245

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