Containing 31 papers collected in five chapters, this book deals with different fields of application and the problems of modelling and organising data in structures, as well as the processing techniques of GIS data for queries to the system and the so-called Dynamic GIS. The authors cover data acquisition with low cost DGPS for road surveys, vehicle navigation systems, and robust statistical techniques applied to pre-processing, analysis and testing. They report on the testing and calibration of different scanners for GIS data acquisition as well as some original approaches to the automatic DTM generation for cartographic and close range applications. Finally, applications to the environmental monitoring and the use of different kinds of geodetic data in multipurpose regional GIS are shown.

The book deals with the integration of temporal information in Geographic Information Systems. The main purpose of an historical or time-integrative GIS is to reproduce spatio- temporal processes or sequents of events in the real world in the form of a model. The model thus making them accessible for spatial query, analysis and visualization. This volume reflects both theoretical thoughts on the interrelations of space and time, as well as practical examples taken from various fields of application (e.g. business data warehousing, demographics, history and spatial analysis).

This book presents the theory and methodology of geographical data acquisition, providing comprehensive coverage ranging from the definition of geo-referencing systems and transformation between these systems to the acquisition of geographical data using different methods. The material provides readers with a good understanding of the nature of spatial data, the accuracy of spatial data, and the theory behind various data acquisition methodologies.

Urban planners who need to design information systems require an understanding of systems analysis, data acquisition and GIS. In recent times the need has been to make computer-based maps by using a GIS, but planners now need tools for co-operative work using groupware systems, for global visualization and real-time monitoring of urban activities and phenomena. Planners have moved beyond drawing land use plans, to examining the evolution of urban activities to monitor and analyze urban societal and environmental problems. Both practitioners and students will find this book useful, provided they have an adequate grounding in computing, data analysis and GIS and they are looking to use and design computer systems for developing maps and written statements for city planning. Therefore, novel tools like using multimedia information systems and GIS will become an increasingly important, eventually essential part of the job.

Global positioning systems like GPS or the future European Galileo are influencing the world of navigation tremendously. Today, everybody is concerned with navigation even if unaware of this fact. Therefore, the interest in navigation is steadily increasing. This book provides an encyclopedic view of navigation. Fundamental elements are presented for a better understanding of the techniques, methods, and systems used in positioning and guidance. The book consists of three parts. Beside a historical review and maps, the first part covers mathematical and physical fundamentals. The second part treats the methods of positioning including terrestrial, celestial, radio- and satellite-based, inertial, image-based, and integrated navigation. Routing and guidance are the main topics of the third part. Applications on land, at sea, in the air, and in space are considered, followed by a critical outlook on the future of navigation. This book is designed for students, teachers, and people interested in entering the complex world of navigation.

This book fills the need of upcoming changes in geo-informatics and basic level up-gradation and comprehensive text on digital technology under varying circumstances for the students at undergraduate and post-graduate studies. This will be of immense use in dealing basic principles envisage knowledge and applied aspects of digital mapping of natural resources for students, scientists, extension workers as well as teachers engaged in delivering lectures in class rooms. Remote sensing includes GIS to process data as per need have been explained with maximum accuracy kept in mind during final shape of the book. This book contains ten chapters covering GIS, GPS, Cartography, digital terrain analysis, aerial photography, topographical map, drone technology, image processing, remote sensing remote sensing imagery along with suitable example executed in fields using these technologies for agriculture, soil conservation, geo-informatics, mappers and field workers.

Deep Learning for Multimedia Processing Applications is a comprehensive guide that explores the revolutionary impact of deep learning techniques in the field of multimedia processing. Written for a wide range of readers, from students to professionals, this book offers a concise and accessible overview of the application of deep learning in various multimedia domains, including image processing, video analysis, audio recognition, and natural language processing. Divided into two volumes, Volume Two delves into advanced topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs), explaining their unique capabilities in multimedia tasks. Readers will discover how deep learning techniques enable accurate and efficient image recognition, object detection, semantic segmentation, and image synthesis. The book also covers video analysis techniques, including action recognition, video captioning, and video generation, highlighting the role of deep learning in extracting meaningful information from videos. Furthermore, the book explores audio processing tasks such as speech recognition, music classification, and sound event detection using deep learning models. It demonstrates how deep learning algorithms can effectively process audio data, opening up new possibilities in multimedia applications. Lastly, the book explores the integration of deep learning with natural language processing techniques, enabling systems to understand, generate, and interpret textual information in multimedia contexts. Throughout the book, practical examples, code snippets, and real-world case studies are provided to help readers gain hands-on experience in implementing deep learning solutions for multimedia processing. Deep Learning for Multimedia Processing Applications is an essential resource for anyone interested in harnessing the power of deep learning to unlock the vast potential of multimedia data.