8 Inverse Synthetic Aperture Radars: Geometry, Signal Models and Image Reconstruction Methods
8.1 Introduction
8.2 ISAR Geometry and Coordinate Transformations
8.3 2-D ISAR Signal Models and Reconstruction Algorithms
8.4 3-D ISAR Signal Models and Image Reconstruction Algorithms
8.5 Conclusions
Acknowledgment
References
14 9 Remote Sensing Imagery Spatial Resolution Enhancement 9.1 Introduction 9.2 Multiband Aerospace Imagery Informativeness 9.3 Equivalent Spatial Resolution of Multiband Aerospace Imagery 9.4 Multispectral Imagery Resolution Enhancement Based on Spectral Signatures’ Identification 9.5 Multispectral Imagery Resolution Enhancement Using Subpixels Values Reallocation According to Land Cover Classes’ Topology 9.6 Remote Sensing Longwave Infrared Data Spatial Resolution Enhancement 9.7 Issues of Objective Evaluation of Remote Sensing Imagery Actual Spatial Resolution 9.8 Conclusion References
15 10 The Theoretical and Technological Peculiarities of Aerospace Imagery Processing and Interpretation By Means of Artificial Neural Networks 10.1 Introduction 10.2 Peculiarities of Aerospace Imagery, Ways of its Digital Representation and Tasks Solved on It 10.3 Aerospace Imagery Preprocessing 10.4 Interpretation of Aerospace Imagery by Means of Artificial Neural Networks 10.5 Conclusion References
16 Index
Guide
1 Cover
5 Abstract
6 Preface
8 Index
List of Illustrations
1 Chapter 1Figure 1.1.1 “Grey on orange”, “Flower”, “Drawing drawing” [Pepperell, 2019].Figure 1.1.2 Example of three groups of stimuli tested in study (Original, colum...Figure 1.1.3 Examples of interactive realization of basic test models: (a) Wundt...Figure 1.1.4 Structure of the compound eye of a fly.Figure 1.1.5 Vertical section of the human eye.Figure 1.1.6 “Cage without bird”, the scheme for the detection of “blind spots”.Figure 1.1.7 Projection zones of the left hemisphere of the brain.Figure 1.2.1 Human oculomotor muscles.Figure 1.2.2 Determination of the sharpness of the resolution of the eye.Figure 1.2.3 Snellen table and Landolt rings.Figure 1.2.4 The stylized Landolt rings without the noise and with different noi...Figure 1.2.5 Comparison of methods for determination of regions of interest and ...Figure 1.2.6 Examples of oculograms of different test subjects who perceive the ...Figure 1.2.7 Transition row of face images from which the goal stimulus pairs ar...Figure 1.2.8 Schemes of eye movement when viewing various images [Yarbus, 1967].Figure 1.2.9 A reproduction of the painting “Didn’t Wait” by Russian artist I. R...Figure 1.2.10 Text without spaces between words.Figure 1.2.11 F-Pattern navigation.Figure 1.2.12 Comparison of certainty value of web page and saccadic estimation,...Figure 1.2.13 Tilt action.Figure 1.2.14 Curvature after-effect.Figure 1.2.15 Brightness assimilation [Ghosh, Bhaumik, 2010].Figure 1.2.18 Mach bands.
