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Sea Ice Image Processing with MATLAB®

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"Sea Ice Image Processing with MATLAB® is a large and important step forward in the creation of the necessary tools for the planning and execution of Arctic maritime operations. The ability to predict what kind of ice that one will encounter is of critical importance for safety, as you need to know what you are going to run into. This book provides an important insight to the cutting edge of technology being developed for sustainable operations in the polar regions."
—Åke Rohlén, Arctic Marine Solutions AB, Sweden

"This is a really elaborate book for the image processing to extract ice information. To my knowledge, this is the first work that describes the methods to obtain ice floe size distribution in a systematic and sophisticated way. It is still a big issue to predict the sea ice behavior in the numerical sea ice model due to the lack of our knowledge about the sub-grid scale information of sea ice, especially floe size distribution. This book aims at solving this problem and has achieved it to some extent. This work certainly contributes to this issue and sheds light on collecting observational data on an operational basis. Therefore, I sincerely hope the algorithm developed by the authors will be used by many people to improve our understanding of sea ice properties."
— Takenobu Toyota, Hokkaido University, Sapporo, Japan

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Sea Ice Image Processing with MATLAB addresses the topic of image processing for the extraction of key sea ice characteristics from digital photography, which is of great relevance for Artic remote sensing and marine operations. Les mer

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Sea Ice Image Processing with MATLAB addresses the topic of image processing for the extraction of key sea ice characteristics from digital photography, which is of great relevance for Artic remote sensing and marine operations. This valuable guide provides tools for quantifying the ice environment that needs to be identified and reproduced for such testing. This includes fit-for-purpose studies of existing vessels, new-build conceptual design and detailed engineering design studies for new developments, and studies of demanding marine operations involving multiple vessels and operational scenarios in sea ice. A major contribution of this work is the development of automated computer algorithms for efficient image analysis. These are used to process individual sea-ice images and video streams of images to extract parameters such as ice floe size distribution, and ice types. Readers are supplied with Matlab source codes of the algorithms for the image processing methods discussed in the book made available as online material.



Features



Presents the first systematic work using image processing techniques to identify ice floe size distribution from aerial images


Helps identify individual ice floe and obtain floe size distributions for Arctic offshore operations and transportation


Explains specific algorithms that can be combined to solve various problems during polar sea ice investigations


Includes MATLAB (R) codes useful not only for academics, but for ice engineers and scientists to develop tools applicable in different areas such as sustainable arctic marine and coastal technology research


Provides image processing techniques applicable to other fields like biomedicine, material science, etc

Detaljer

Forlag
CRC Press
Innbinding
Paperback
Språk
Engelsk
Sider
242
ISBN
9780367572181
Utgivelsesår
2020
Format
23 x 16 cm

Anmeldelser

«

"Sea Ice Image Processing with MATLAB® is a large and important step forward in the creation of the necessary tools for the planning and execution of Arctic maritime operations. The ability to predict what kind of ice that one will encounter is of critical importance for safety, as you need to know what you are going to run into. This book provides an important insight to the cutting edge of technology being developed for sustainable operations in the polar regions."
—Åke Rohlén, Arctic Marine Solutions AB, Sweden

"This is a really elaborate book for the image processing to extract ice information. To my knowledge, this is the first work that describes the methods to obtain ice floe size distribution in a systematic and sophisticated way. It is still a big issue to predict the sea ice behavior in the numerical sea ice model due to the lack of our knowledge about the sub-grid scale information of sea ice, especially floe size distribution. This book aims at solving this problem and has achieved it to some extent. This work certainly contributes to this issue and sheds light on collecting observational data on an operational basis. Therefore, I sincerely hope the algorithm developed by the authors will be used by many people to improve our understanding of sea ice properties."
— Takenobu Toyota, Hokkaido University, Sapporo, Japan

»

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