Download or read book Automated Classification of Basic level Terrain Features in Digital Elevation Models written by Linda Hoehn Graff and published by . This book was released on 1991 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book An Approach to Automated Terrain Classification from Digital Elevation Model written by and published by . This book was released on 1992 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using digital elevation model data, landforms are classified into two broad, generic terrain features -- mounts and non-mounts. Mount represents an aggregation of elevated features including hills, mountains and ranges. All remaining features are classified collectively as non-mount. The results of this work suggest that it may be possible to acceptably replicate the manual classification of certain generic terrain features. However, the general utility of the mount/non-mount classification appears to be limited by the classification algorithms, the nature of the regional terrain and the quality of available digital data. Possible applications for generic terrain feature information, such as mounts and non-mounts, are presented.

Download or read book An Automated Approach for Classifying Generic Terrain Features Using Digital Elevation Data written by and published by . This book was released on 1993 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of experimental SW to interface digital elevation data with knowledge representation and IP tools to automatically classify landforms. I will discuss classification theory, the terrain classification system I used in this work, the data and sites used to develop the classification method, the method itself, overall results, method limitations, and recommendations and finally conclusions ... Terrain features, Digital Elevation Data, Terrain Classification.

Download or read book Terrain Classification from Digital Elevation Data Using Slope and Curvature Information written by Brenda K. Goodpasture and published by . This book was released on 1987 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Digital Elevation Model Technologies and Applications written by David Francis Maune and published by . This book was released on 2001 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Digital Terrain Modeling written by Zhilin Li and published by CRC Press. This book was released on 2004-11-29 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by experts, Digital Terrain Modeling: Principles and Methodology provides comprehensive coverage of recent developments in the field. The topics include terrain analysis, sampling strategy, acquisition methodology, surface modeling principles, triangulation algorithms, interpolation techniques, on-line and off-line quality control in data a

Download or read book Digital Terrain Classification Via Scale sensitive Edge Detection written by David J. Savory and published by . This book was released on 1992 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Terrain Classification from Digital Elevation Data Using Slope and Curvature Information written by Brenda K. Goodpasture and published by . This book was released on 1987 with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Advances in Digital Terrain Analysis written by Qiming Zhou and published by Springer Science & Business Media. This book was released on 2008-02-21 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Terrain analysis has attracted research studies from geographers, surveyors, engineers and computer scientists. The contributions in this book represent the state-of-the-art of terrain analysis methods and techniques in areas of digital representation, morphological and hydrological models, uncertainty and applications of terrain analysis. The book will appeal to postgraduate and senior undergraduate students who take advanced courses in GIS and geographical analysis.

Download or read book Terrain Shape Classification of Digital Elevation Models Using Eigenvectors and Fourier Transforms written by Gerald Joseph Pellegrini and published by . This book was released on 1995 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Terrain Analysis written by John P. Wilson and published by John Wiley & Sons. This book was released on 2000-08-03 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dieses Buch untersucht, welchen Einfluß Landschaftsformen, insbesondere Höhenunterschiede, auf die an der Erdoberfläche ablaufenden Prozesse haben. Wasserbewegungen, die Sonneneinstrahlung sowie die Bodenentwicklung und -erosion werden alle mehr oder minder durch die Form der Landschaftsoberfläche gesteuert. Die Anwendungsmöglichkeiten der Landschaftsanalyse sind vielfältig: Sie reichen von Studien über Wasserscheiden und Feuchtgebiete über Bodenkunde und Erosionsstudien, Landschafts- und Landnutzungsstudien bis zu geomorphologischer Forschung und regionalen und globalen Ökologiestudien. Darüber hinaus kann die Landschaftsanalyse auch zu meteorologischen Vorhersagen sowie bei Problemen mit TV- oder Radiosignalempfang eingesetzt werden. Dieses Forschungsgebiet hat in Verbindung mit den jüngsten Fortschritten auf dem Gebiet der GIS und GPS eine rasante Entwicklung durchlaufen. In diesem Band werden alle diese neuen Ansätze und Anwendungsbereiche umfassend erläutert. (y05/00)

Download or read book Automated generalisation of digital elevation models written by E. Trevor Bain and published by . This book was released on 1989 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Digital elevation model error in terrain analysis written by Juha Oksanen and published by . This book was released on 2006 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Automated Surface Feature Detection from Digital Elevation Data written by Joseph D. Wood and published by . This book was released on 1990 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Digital Elevation Model Technologies and Applications written by David Francis Maune and published by . This book was released on 2018 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Automated Identification of Scanned Contour Information for Digital Elevation Models written by Chao-Hsiung Wu and published by . This book was released on 1993 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Delineation Characterization and Classification of Topographic Eminences written by and published by . This book was released on 2008 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Topographic eminences are defined as upwardly rising, convex shaped topographic landforms that are noticeably distinct in their immediate surroundings. As opposed to everyday objects, the properties of a topographic eminence are dependent not only on how it is conceptualized, but is also intrinsically related to its spatial extent and its relative location in the landscape. In this thesis, a system for automated detection, delineation and characterization of topographic eminences based on an analysis of digital elevation models is proposed. Research has shown that conceptualization of eminences (and other landforms) is linked to the cultural and linguistic backgrounds of people. However, the perception of stimuli from our physical environment is not subject to cultural or linguistic bias. Hence, perceptually salient morphological and spatial properties of the natural landscape can form the basis for generically applicable detection and delineation of topographic eminences. Six principles of cognitive eminence modeling are introduced to develop the philosophical foundation of this research regarding eminence delineation and characterization. The first step in delineating eminences is to automatically detect their presence within digital elevation models. This is achieved by the use of quantitative geomorphometric parameters (e.g., elevation, slope and curvature) and qualitative geomorphometric features (e.g., peaks, passes, pits, ridgelines, and valley lines). The process of eminence delineation follows that of eminence detection. It is posited that eminences may be perceived either as monolithic terrain objects, or as composites of morphological parts (e.g., top, bottom, slope). Individual eminences may also simultaneously be conceived as comprising larger, higher order eminence complexes (e.g., mountain ranges). Multiple algorithms are presented for the delineation of simple and complex eminences, and the morphological parts of eminences. The proposed eminence detection and delineation methods are amenable to intuitive parameterization such that they can easily capture the multitude of eminence conceptualizations that people develop due to differences in terrain type and cultural and linguistic backgrounds. Eminence delineation is an important step in object based modeling of the natural landscape. However, mere geocoding of eminences is not sufficient for modeling how people intuitively perceive and reason about eminences. Therefore, a comprehensive eminence parameterization system for characterizing the perceptual properties of eminences is also proposed in this thesis. Over 40 parameters are suggested for measuring the commonly perceived properties of eminences: size, shape, topology, proximity, and visibility. The proposed parameters describe different aspects of naive eminence perception. Quantitative analysis of eminence parameters using cluster analysis, confirms that not only can eminences be parameterized as individual terrain objects, but that eminence (dis)similarities can be exploited to develop intuitive eminence classification systems. Eminence parameters are also shown to be essential for exploring the relationships between extracted eminences and natural language terms (e.g., hill, mount, mountain, peak) used commonly to refer to different types of eminences. The results from this research confirm that object based modeling of the landscape is not only useful for terrain information system design, but is also essential for understanding how people commonly conceptualize their observations of and interactions with the natural landscape.