Synopsis
PART I: Mathematical Methods for Image Analysis--1.Numerical Harmonic Analysis and Image Processing; 2.Stochastic Shape Theory; 3.Image Compression and Coding; PART II: Data Handling--4.Parallel and Distributed Processing; 5.Image Data Catalogs; PART III: Robust and Adaptive Image Understanding--6.Graphs in Image Analysis; 7.Hierarchies; 8.Robust Methods; 9.Structural Object Recognition; 10.Machine Learning; PART IV: Information Infusion and Radiometric Models for Image Understanding--11.Information Fusion in Image Understanding; 12.Image Understanding Methods for Remote Sensing; PART V: 3-D Reconstruction--13.Fundamentals; 14.Image Matching Strategies; 15.Precise Photogrammetric Measurement; 16.3-D Navigation and Reconstruction; 17.3-D Object Sensing Using Rotating CCD Cameras
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