Coherent Fields and Images in Remote Sensing

by Valery I. Mandrosov

Overview

Coherent fields and images can provide significant information about remote objects in a variety of practical ways. This volume considers several coherent phenomena, including the use of coherent remote sensing to obtain information about the dynamic parameters of remote objects, the use of Fourier telescopy for exact imaging of remote objects in a turbulent atmosphere, and the use of time-background holography for remote sensing of moving objects. The book is intended for the broad community of researchers and engineers interested in coherent phenomena and their applications, plus senior and graduate students specializing in this field.

Product Details

ISBN-13:	9780819451903
Publisher:	SPIE Press
Publication date:	04/28/2004
Series:	SPIE Press Monograph Series
Pages:	244
Product dimensions:	6.90(w) x 9.90(h) x 0.70(d)

Table of Contents

	Preface	ix
	Notation	xv
	Explanation of Terms	xix
Chapter 1	Basic Concepts of the Statistical Theory of Light Scattering	1
1.1	Introduction	1
1.2	Random surfaces and fields scattered by them; the Kirchhoff method	1
1.3	Statistical characteristics of a field scattered by a stationary object of finite size	18
1.4	Statistical characteristics of fields scattered by a moving object	27
1.5	Conclusions	37
Chapter 2	Statistical Description of Coherent Images	39
2.1	Introduction	39
2.2	Statistical properties of fields in coherent images	40
2.3	Statistical characteristics of coherent image intensity in nonflat rough objects	53
2.4	Methods of estimating and improving the quality of coherent images	56
2.5	Statistical characteristics of images of an object illuminated by quasi-monochromatic and polychromatic light	60
2.6	Coherent images of small-scale surface roughness	64
2.7	Speckle structure of the time spectrum of a coherent field scattered by a moving rough object	70
2.8	Conclusions	72
2.9	General conclusions to Chapters 1 and 2	74
Chapter 3	Use of Coherent Fields and Images to Determine the Dynamic Parameters of Remote Objects	75
3.1	Introduction	75
3.2	Methods of determining the linear velocity of a remote rough object	76
3.3	Method of determining the angular velocity of a rotating object	83
3.4	Determining object surface deformation parameters	92
3.5	Combined method of determining the motion and deformation parameters of an object	98
3.6	Conclusions	100
Chapter 4	Fourier Telescopy	103
4.1	Introduction	103
4.2	Statistical model of the received signal in Fourier telescopy and the Fourier-telescopic image	105
4.3	Fourier-telescopic panoramic microscope	118
4.4	Integral and local measures of the relationship between the Fourier-telescopic image of an object and its averaged undistorted image	122
4.5	Conclusions	126
Chapter 5	Time Background Holography of Moving Objects	129
5.1	Introduction	129
5.2	General theory of time background holography	131
5.3	Using time background holography to detect a moving object	139
5.4	Application of time background holography to the fast detection of moving objects and determination of their parameters	148
5.5	Time background holography of moving objects placed close to the background surface; the principle of time averaging of coherent wavefields	157
5.6	Time background intensity holography	169
5.7	Conclusions	175
Appendix 1	Statistical Characteristics of the Intensity Distribution in a Coherent Image	177
Appendix 2	Statistical Characteristics of the Intensity Distribution in a Fourier-Telescopic Image and the Resolution of Fourier Telescopy	183
Appendix 3	Phase Closure Algorithm in Fourier Telescopy	191
Appendix 4	The Coherence of Fields Scattered by Sufficiently Large Rough Objects, and the Contrast of the Scattered Field Intensity Distribution	195
Appendix 5	Physics of Speckle Pattern Formation in the Images of Rough Objects	205
	References	211
	Index	217