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Sea Ice Image Processing with MATLAB (R) - Signal and Image Processing of Earth Observations (Hardback)
  • Sea Ice Image Processing with MATLAB (R) - Signal and Image Processing of Earth Observations (Hardback)
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Sea Ice Image Processing with MATLAB® - Signal and Image Processing of Earth Observations (Hardback)

(author), (author)
£130.00
Hardback 242 Pages / Published: 20/02/2018
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The ice concentration data on a global scale are available on a daily basis due to microwave satellite sensors. Image processing for sea ice is vital to estimate the sea ice properties and understand the behavior of sea ice especially on a relatively small scale. Currently, sea ice concentration is estimated from lower-resolution passive microwave sensors. This book aims to present the most recent image processing techniques including the so-called gradient vector flow snake algorithm to identify individual ice floes from the ice images. It makes an extensive use of this powerful technique to extract or estimate the sea-ice parameters and to develop tools useful to scientists and engineers.

Publisher: Taylor & Francis Ltd
ISBN: 9781138032668
Number of pages: 242
Weight: 740 g
Dimensions: 235 x 156 mm


MEDIA REVIEWS

"Sea Ice Image Processing with MATLAB (R) 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."
-Ake Rohlen, 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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