Elements of Photogrammetry with Application in GIS, Fourth Edition
Elements of Photogrammetry with Application in GIS, Fourth Edition

Author: Paul R. Wolf

Publisher: McGraw Hill Professional

Published: 2013-10-22

Total Pages: 691

ISBN-13: 007176111X

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The definitive guide to photogrammetry--fully updated Thoroughly revised to cover the latest technological advances in the field, Elements of Photogrammetry with Applications in GIS, Fourth Edition, provides complete details on the foundational principles of photogrammetry as well as important advanced concepts. Significant changes in the instruments and procedures used in modern photogrammetry, including laser scanning, are discussed. Example problems clarify computational procedures and extensive photographs and diagrams illustrate the material presented in this comprehensive resource. Coverage includes: Principles of photography and imaging Cameras and other imaging devices Image measurements and refinements Object space coordinate systems Vertical photographs Stereoscopic viewing Stereoscopic parallax Stereoscopic plotting instruments Laser scanning systems Elementary methods of planimetric mapping for GIS Titled and oblique photographs Introduction to analytical photogrammetry Topographic mapping and spatial data collection Fundamental principles of digital image processing Photogrammetric applications in GIS Control for aerial photogrammetry Aerotriangulation Project planning Terrestrial and close-range photogrammetry

Object-Based Image Analysis
Object-Based Image Analysis

Author: Thomas Blaschke

Publisher: Springer Science & Business Media

Published: 2008-08-09

Total Pages: 804

ISBN-13: 3540770585

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This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).

Geoinformation
Geoinformation

Author: Gottfried Konecny

Publisher: CRC Press

Published: 2002-10-03

Total Pages: 263

ISBN-13: 1420056018

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Surveying and mapping has recently undergone a transition: from discipline-oriented technologies, such as geodesy, surveying, photogrammetry and cartography, to the methodology-oriented integrated discipline of geoinformatics based on GPS positioning, remote sensing, digital photography and GIS for data manipulation and data output. This book presents the required basic background for remote sensing, digital photogrammetry and GIS in the new geoinformatics concept in which the different methodologies must be combined. For remote sensing, the basic fundamentals are the properties of electromagnetic radiation and their interaction with matter. This radiation is received by sensors and platforms in analogue or digital form, and is subject to image processing. In photogrammetry, the stereo-concept is used for the location of information in 3D. With the advent of high-resolution satellite systems in stereo, the theory of analytical photogrammetry restituting 2-D image information into 3D is of increasing importance, merging the remote sensing approach with that of photogrammetry. The result of the restitution is a direct input into geographical information systems in vector or in raster form. The fundamentals of these are described in detail, with an emphasis on global, regional and local applications. For data integration, a short introduction into the GPS Satellite positioning system is added. This textbook will appeal to a wide range of readers, from advanced undergraduates to all professionals in the growing field of geoinformation.

Machine Vision and Advanced Image Processing in Remote Sensing
Machine Vision and Advanced Image Processing in Remote Sensing

Author: Ioannis Kanellopoulos

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 339

ISBN-13: 3642601057

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Since 1994, the European Commission has undertaken various actions to expand the use of Earth observation (EO) from space in the Union and to stimulate value-added services based on the use of Earth observation satellite data.' By supporting research and technological development activities in this area, DG XII responded to the need to increase the cost-effectiveness of space derived environmental information. At the same time, it has contributed to a better exploitation of this unique technology, which is a key source of data for environmental monitoring from local to global scale. MAVIRIC is part of the investment made in the context of the Environ ment and Climate Programme (1994-1998) to strengthen applied techniques, based on a better understanding of the link between the remote sensing signal and the underlying bio- geo-physical processes. Translation of this scientific know-how into practical algorithms or methods is a priority in order to con vert more quickly, effectively and accurately space signals into geographical information. Now the availability of high spatial resolution satellite data is rapidly evolving and the fusion of data from different sensors including radar sensors is progressing well, the question arises whether existing machine vision approaches could be advantageously used by the remote sensing community. Automatic feature/object extraction from remotely sensed images looks very attractive in terms of processing time, standardisation and implementation of operational processing chains, but it remains highly complex when applied to natural scenes.