Small-Format Aerial Photography and UAS Imagery - Couverture souple

Abe

Couverture souple

ISBN 10 : 0128129425 ISBN 13 : 9780128129425

Editeur : Elsevier, 2019

Synopsis

Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data.

Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a presentation of state-of-the-art methods.

Content includes:

• The foundations of Riemannian geometric methods for statistics on manifolds with emphasis on concepts rather than on proofs
• Applications of statistics on manifolds and shape spaces in medical image computing
• Diffeomorphic deformations and their applications

As the methods described apply to domains such as signal processing (radar signal processing and brain computer interaction), computer vision (object and face recognition), and other domains where statistics of geometric features appear, this book is suitable for researchers and graduate students in medical imaging, engineering and computer science.

A propos du livre

À propos des auteurs

Dr. Aber has a PhD in Geology from the University of Kansas. His interests and research experience are wide ranging in geology, tectonics, landscape evolution, wetland environments, remote sensing, aerial photography, and energy resources. He has conducted field investigations across the United States as well as Canada, Scandinavia, Central Europe and Japan. He is a distinguished professor at Emporia State University, Kansas.

Dr. Marzoff is a physical geographer and remote sensing/GIS scientist holding a Ph.D. from Freiburg University, Germany. She has been working on high-resolution remote sensing methods for monitoring land degradation and erosion since 1995. She has been involved in designing and building several unmanned platforms for small-format aerial photography and has developed remote-sensing and photogrammetry-based methods for quantifying geomorphological processes in high temporal and spatial resolution. She has collaborated in numerous research projects with colleagues from Belgium, Germany, India, Morocco, Spain and the USA

Dr. Ries holds a Ph.D. from Freiburg University, Germany. His research focusses on methodological questions regarding erosion, land degradation and desertification. His main expertise lies in experimental geomorphology, and small-format aerial and terrestrial photography has always been an integral part of his research concepts and projects. He has extensive international research cooperation and during recent years has conducted fieldwork mostly in semi-arid regions of Europe and Africa

Dr. Susan W. Aber is the Director of the Science and Math Education Center and Peterson Planetarium at Emporia State University (ESU), Emporia, Kansas USA. She is a geologist, graduate gemologist, map librarian, and university teacher. She taught in the Earth Science Department at ESU and was Federal Depository Map Librarian. She has taught LIS courses via distance education at San José State University and North Carolina Central University. Her LIS dissertation focused on the information needs and information-seeking behaviors of geoscience educators in the academic community. Her research interests are in information use and user studies, amber fossil resin, as well as the scientific visualization of information using kite aerial photography.

Détails de l'édition

• Éditeur: Elsevier
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 0128129425
• ISBN 13: 9780128129425
• Reliure: Broché
• Numéro d'édition: 2
• Nombre de pages: 394
• Coordonnées du fabricant: ELSEVIER; https://www.elsevier.com/es-es; ; Mooswaldallee 6; Freiburg; 79108; Allemagne