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Computer vision and pattern recognition in environmental informatics

Author: Jun Zhou; Bai Xiao; Terry Caelli
Publisher: Hershey, PA : Information Science Reference, an imprint of IG Global, [2016] ©2016
Series: Advances in environmental engineering and green technologies (AEEGT) book series.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
"This book describes a number of methods and tools for image interpretation and analysis, which enables observation, modelling, and understanding of environmental targets"--
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Document Type: Book
All Authors / Contributors: Jun Zhou; Bai Xiao; Terry Caelli
ISBN: 9781466694354 1466694351
OCLC Number: 917360259
Description: xxvi, 407 pages : illustrations ; 29 cm.
Contents: Section 1: Computer Vision and Pattern Recognition Methods for Aquatic Animal Detection and Monitoring --
Hierarchal Decomposition for Unusual Fish Trajectory Detection / Cigdem Beyan and Robert Fisher --
Machine Learning for Detecting Scallops in AUV Benthic Images: Targeting False Positives / Prasanna Kannappan, Herbert G. Tanner, Arthur C. Trembanis, and Justin H. Walker --
Fish Counting and Measurement: A Modular Framework and Implementation / Fredrik Anders Westling, Changming Sun, Dadong Wang, and Fahim Irfan Alam --
Automated Whale Blow Detection in Infrared Video / Varun Santhaseelan and Vijayan K. Asari --
Automatic Fish Segmentation and Recognition for Trawl-Based Cameras / Meng-Che Chuang, Jenq-Neng Hwang, and Kresimir Williams --
Visual Tracking of Box Jellyfish: A Real-Time Motion Tracking System / Magnus Oskarsson, Tobias Kjellberg, Tobias Palmér, Dan-Eric Nilsson, and Kalle Astrom --
Section 2: Computer Vision and Pattern Recognition Methods for Insect Recognition and Modelling --
Insect Recognition Using Sparse Coding and Decision Fusion / An Lu, Xinwen Hou, Cheng-Lin Liu, and Xiaolin Chen --
Skeletonization of Edges Extracted by Natural Images: A Novel Approach for Shape Representation / Donatella Giuliani --
Categorization of Plant and Insect Species via Shape Analysis / Haifeng Zhao, Jiantao Wang, and Wankou Yang --
3D Modeling for Environmental Informatics Parametric Manifold of an Object under Different Viewing Directions / Xiaozheng Zhang and Yongsheng Gao --
Section 3: Computer Vision and Pattern Recognition Methods for Plant and Soil Analysis --
Automatic Estimation of Soil Biochar Quantity via Hyperspectral Imaging / Lei Tong, Jun Zhou, Shahla Hosseini Bai, Chengyuan Xu, Yuntao Qian, Yongsheng Gao, and Zhihong Xu --
Plant Classification for Field Robots: A Machine Vision Approach / Sebastian Haug and Jorn Ostermann --
3D Plant Modelling Using Spectral Data from Visible to Near Infrared Range / Ali Zia and Jie Liang --
Cell Phone Image-Based Plant Disease Classification / Marion Neumann, Lisa Hallau, Benjamin Klatt, Kristian Kersting, and Christian Bauckhage --
A Large Margin Learning Method for Matching Images of Natural Objects with Different Dimensions / Haoyi Zhou, Jun Zhou, Haichuan Yang, Cheng Yan, Xiao Bai, and Yun Liu --
An Overview of Tree Species Identification from T-LiDAR Data / Alice Ahlem Othmani.
Series Title: Advances in environmental engineering and green technologies (AEEGT) book series.
Responsibility: Jun Zhou, School of Information and Communication Technology, Griffith University, Australia, Xiao Bai, School of Computer Science and Engineering, Beihang University, China, and Terry Caelli, Department of Electrical and Electronic Engineering, the University of Melbourne, Australia, editors.

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"This book describes a number of methods and tools for image interpretation and analysis, which enables observation, modelling, and understanding of environmental targets"--  Read more...

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