Map Data Processing

Proceedings of a NATO Advanced Study Institute on Map Data Processing Held in Maratea, Italy, June 18–29, 1979

Nonfiction, Science & Nature, Technology, Cartography, Science, Earth Sciences, Geography
Cover of the book Map Data Processing by , Elsevier Science
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Author: ISBN: 9781483272153
Publisher: Elsevier Science Publication: June 28, 2014
Imprint: Academic Press Language: English
Author:
ISBN: 9781483272153
Publisher: Elsevier Science
Publication: June 28, 2014
Imprint: Academic Press
Language: English

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.

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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.

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