Computer Vision and Pattern Recognition in Environmental Informatics (Advances in Environmental Engineering and Green Technologies) - Hardcover

 
9781466694354: Computer Vision and Pattern Recognition in Environmental Informatics (Advances in Environmental Engineering and Green Technologies)
Hardcover
ISBN 10: 1466694351 ISBN 13: 9781466694354
Verlag: Information Science Reference, 2015

Inhaltsangabe

Computer Vision and Pattern Recognition (CVPR) together play an important role in the processes involved in environmental informatics due to their pervasive, non-destructive, effective, and efficient natures. As a result, CVPR has made significant contributions to the field of environmental informatics by enabling multi-modal data fusion and feature extraction, supporting fast and reliable object detection and classification, and mining the intrinsic relationship between different aspects of environmental data. Computer Vision and Pattern Recognition in Environmental Informatics describes a number of methods and tools for image interpretation and analysis, which enables observation, modelling, and understanding of environmental targets. In addition to case studies on monitoring and modeling plant, soil, insect, and aquatic animals, this publication includes discussions on innovative new ideas related to environmental monitoring, automatic fish segmentation and recognition, real-time motion tracking systems, sparse coding and decision fusion, and cell phone image-based classification and provides useful references for professionals, researchers, engineers, and students with various backgrounds within a multitude of communities.

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Über die Autorin bzw. den Autor

Jun Zhou, School of Information and Communication Technology, Griffith University, Australia.

Xiao Bai, School of Computer Science and Engineering, Beihang University, China.

Terry Caelli, Department of Electrical and Electronic Engineering, The University of Melbourne, Australia.

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Verlag
Information Science Reference
Erscheinungsdatum
2015
Sprache
Englisch
ISBN 10 
1466694351
ISBN 13 
9781466694354
Einband
Gebundene Ausgabe
Anzahl der Seiten
438
Herausgeber
Zhou Jun, Bai Xiao, Caelli Terry
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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