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Books > Professional & Technical > Environmental engineering & technology > Environmental monitoring

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Computer Vision and Pattern Recognition in Environmental Informatics (Hardcover) Loot Price: R6,071
Discovery Miles 60 710
Computer Vision and Pattern Recognition in Environmental Informatics (Hardcover): Jun Zhou, Xiao Bai, Terry Caelli

Computer Vision and Pattern Recognition in Environmental Informatics (Hardcover)

Jun Zhou, Xiao Bai, Terry Caelli

Series: Advances in Environmental Engineering and Green Technologies

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Loot Price R6,071 Discovery Miles 60 710 | Repayment Terms: R569 pm x 12*

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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.

General

Imprint: Idea Group,U.S.
Country of origin: United States
Series: Advances in Environmental Engineering and Green Technologies
Release date: October 2015
Editors: Jun Zhou • Xiao Bai • Terry Caelli
Dimensions: 229 x 152 x 24mm (L x W x T)
Format: Hardcover
Pages: 381
ISBN-13: 978-1-4666-9435-4
Categories: Books > Professional & Technical > Environmental engineering & technology > Environmental monitoring
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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LSN: 1-4666-9435-1
Barcode: 9781466694354

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