Map Data Processing

Map Data Processing is a collection of papers from a NATO study on the same subject. This collection deals with the exchange of ideas and setting directions in research, particularly in pattern-recognition-, image-processing-, and computer-related issues. The papers discuss the usefulness of computer systems in geographical data processing, as well as the viability of scan digitization resulting from improvements in line thinning and vectorization. Automated spatial data integration can also be helpful in analyzing spatial data, data collection, capture methods, and data characteristics. Another paper addresses the application of the 8-point chain-encoded lineal map data to define more accurate algorithms found in many geographical and medical imagery. One paper considers how the same data used in monochromatic images can be realized for full colored, textured, realist terrain scenes. This book can be a valuable reference for workers involved in areas of geography, computer imaging, cartography, computer graphics, and remote sensing.

Contributors Preface A Minicomputer-Based Geographical Data Processing System Scan Digitization of Cartographic Data Spatial Data Integration A Spatial Data Structure for Geographic Information Systems Design of a Spatial Information System What Is a "Good" Data Structure for 2-D Points? Tree Structures for Region Representation Analysis and Manipulation of Lineal Map Data Representation and Recognition of Cartographic Data The Effects of Generalization in Geographical Data Encoding Methodological Observations on the State of Geocartographic Analysis in the Context of Automated Spatial Information Systems The Transfer of Software Systems for Map Data Processing Pattern Recognition Problems in the Classification of Multi-Images A Comparative Texture Classification Experiment Segmentation Techniques and Parallel Computation for Image Processing Map Sequence Processing Numerical Algorithms for Interpolation and Smoothing Computer Generation of Shaded Relief Maps Index