Vista normal Vista MARC

Automatic extraction of man-made objects from aerial and space images [Libro electrónico] / edited by Armin Gruen, Olaf Kuebler, Peggy Agouris

Gruen, Armin [editor] | Kuebler, Olaf [editor/a] | Agouris, Peggy [editor/a].
Tipo de material: Libro en línea Libro en línea Series Editor: Boston, Massachusetts, United States: Birkhauser Verlag, c1995Descripción: viii, 321 páginas : ilustraciones mapas ; 24 centímetros.ISBN: 3764352647; 0817652647; 9783034899581 (Print); 9783034892421 (Online).Tema(s): Computer vision -- Congresses | Image processing -- Digital techniques -- Congresses | Photogrammetry -- Congresses | Aerial photographs -- Congresses | Remote sensing -- CongressesNota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografía e índice Número de sistema: 55676Contenidos:Mostrar Resumen:
Inglés

Advancements in digital sensor technology, digital image analysis techniques, as well as computer software and hardware have brought together the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms. The potential for mutual benefits by the close collaboration and interaction of these two disciplines is great, as photogrammetric know-how can be aided by the most recent image analysis developments in computer vision, while modern quantitative photogrammetric approaches can support computer vision activities. Devising methodologies for automating the extraction of man-made objects (e.g. buildings, roads) from digital aerial or satellite imagery is an application where this cooperation and mutual support is already reaping benefits. The valuable spatial information collected using these interdisciplinary techniques is of improved qualitative and quantitative accuracy. This book offers a comprehensive selection of high-quality and in-depth contributions from world-wide leading research institutions, treating theoretical as well as implementational issues, and representing the state-of-the-art on this subject among the photogrammetric and computer vision communities.

Recurso en línea: http://link.springer.com/openurl?genre=book&isbn=978-3-0348-9958-1
Etiquetas de esta biblioteca: No hay etiquetas de esta biblioteca para este título. Ingresar para agregar etiquetas.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Estado Fecha de vencimiento Código de barras
Libros Biblioteca Electrónica
Recursos en línea (RE) 		Acervo General Recurso digital ECO400556765240

Incluye bibliografía e índice

Chapter 1. General strategies.. Chapter 2. Building extraction.. Chapter 3. Road extraction.. Chapter 4. Map-based extraction.. Author Index

Disponible para usuarios de ECOSUR con su clave de acceso

Advancements in digital sensor technology, digital image analysis techniques, as well as computer software and hardware have brought together the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms. The potential for mutual benefits by the close collaboration and interaction of these two disciplines is great, as photogrammetric know-how can be aided by the most recent image analysis developments in computer vision, while modern quantitative photogrammetric approaches can support computer vision activities. Devising methodologies for automating the extraction of man-made objects (e.g. buildings, roads) from digital aerial or satellite imagery is an application where this cooperation and mutual support is already reaping benefits. The valuable spatial information collected using these interdisciplinary techniques is of improved qualitative and quantitative accuracy. This book offers a comprehensive selection of high-quality and in-depth contributions from world-wide leading research institutions, treating theoretical as well as implementational issues, and representing the state-of-the-art on this subject among the photogrammetric and computer vision communities. eng

Disponible en línea

Disponible en formato PDF

Subscripción a ELSEVIER 26 de diciembre del 2013

Con tecnología Koha