Martin Weinmann – författare

This book highlights the different theoretical and application-oriented aspects and potential solutions to the subject of automated remote sensing data analysis.Fully automated interpretation and understanding of remotely sensed data by a computer has been a challenge for decades, and many approaches have been developed over the years. The field is specialized and dynamic and also interdisciplinary and multilayered. Significant advances in knowledge-based image understanding, machine learning and artificial intelligence have led to it being the focus of much research in recent years.Written by an international team of experts, the book deals with both concepts and applications and focuses on elucidating the complementarity of different lines of research rather than providing the complete set of scientific approaches. Both classical knowledge-based as well as modern machine learning-oriented concepts are described.Part A provides insight into the basic theories and concepts of feature extraction, image understanding and the respective assessment strategies as well as into geometric, radiometric and sensor-related fundamentals of remote sensing technology. Part B focuses on various scientific and practical applications of remote sensing data analysis. These range from the automatic detailed reconstruction of complex 3D environments to visual tracking of objects in image sequences as well as monitoring natural and anthropogenic long-term processes on a regional scale. Part C covers recent trends in automatic analysis of remote sensing data.

This unique work presents a detailed review of the processing and analysis of 3D point clouds. A fully automated framework is introduced, incorporating each aspect of a typical end-to-end processing workflow, from raw 3D point cloud data to semantic objects in the scene. For each of these components, the book describes the theoretical background, and compares the performance of the proposed approaches to that of current state-of-the-art techniques. Topics and features: reviews techniques for the acquisition of 3D point cloud data and for point quality assessment; explains the fundamental concepts for extracting features from 2D imagery and 3D point cloud data; proposes an original approach to keypoint-based point cloud registration; discusses the enrichment of 3D point clouds by additional information acquired with a thermal camera, and describes a new method for thermal 3D mapping; presents a novel framework for 3D scene analysis.

This unique work presents a detailed review of the processing and analysis of 3D point clouds. A fully automated framework is introduced, incorporating each aspect of a typical end-to-end processing workflow, from raw 3D point cloud data to semantic objects in the scene. For each of these components, the book describes the theoretical background, and compares the performance of the proposed approaches to that of current state-of-the-art techniques. Topics and features: reviews techniques for the acquisition of 3D point cloud data and for point quality assessment; explains the fundamental concepts for extracting features from 2D imagery and 3D point cloud data; proposes an original approach to keypoint-based point cloud registration; discusses the enrichment of 3D point clouds by additional information acquired with a thermal camera, and describes a new method for thermal 3D mapping; presents a novel framework for 3D scene analysis.

This unique work presents a detailed review of the processing and analysis of 3D point clouds. A fully automated framework is introduced, incorporating each aspect of a typical end-to-end processing workflow, from raw 3D point cloud data to semantic objects in the scene. For each of these components, the book describes the theoretical background, and compares the performance of the proposed approaches to that of current state-of-the-art techniques. Topics and features: reviews techniques for the acquisition of 3D point cloud data and for point quality assessment; explains the fundamental concepts for extracting features from 2D imagery and 3D point cloud data; proposes an original approach to keypoint-based point cloud registration; discusses the enrichment of 3D point clouds by additional information acquired with a thermal camera, and describes a new method for thermal 3D mapping; presents a novel framework for 3D scene analysis.

Die Bedeutung der Hand liegt gewissermaßen auf der Hand: Ohne dieses Wunderwerk an Präzision und Empfindsamkeit, an Kraft und Sanftheit, an Ausdrucksfähigkeit und Steuerbarkeit auszukommen, wäre für die meisten von uns kaum vorstellbar. So selbstverständlich ist uns ihr Gebrauch und sind uns ihre Fähigkeiten, daß wir selten hinterfragen, wie die Hand eigentlich genau funktioniert und wo überall in unserer Kultur, unserer Sprache und unserem sozialen Miteinander sie ihre Spuren hinterlassen hat. Das "Hand-Buch" geht diesen Fragen nach. Renommierte Autoren spannen dabei einen Bogen, der von der evolutionären Entwicklung der Greifhand bis zum technischen Design von Roboterhänden, vom engen Zusammenhang von Hand und Gehirn bis zu den vielfältigen Verbindungen zwischen Hand und Sprache, von musikalischen Fingerfertigkeiten bis zum Handlesen reicht. Biologie, Medizin und Philosophie reichen sich in diesem Buch die Hände, und die Faszination für die Hand wird durch das handfeste Wissen, das es vermittelt, nur noch größer.Zu den Autoren des Bandes zählen renommierte Wissenschaftler aus verschiedenen natur- und geisteswissenschaftlichen Disziplinen, unter anderem Niels Birbaumer (Tübingen, Biopsychologie), E. Altenmüller (Hannover, Musikphysiologie), Helge Ritter (Bielefeld, Neuroinformatik), Bruno Preilowski (Tübingen, Hemisphärenforschung), Friedhart Klix (Berlin, Evolutionspsychologie) und Peter Janich (Marburg, Philosophie).