Qin Zhang, Roger Skjetne

Sea Ice Image Processing with MATLAB® (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 272
• Erscheinungstermin: 13. Februar 2018
• Englisch
• ISBN-13: 9781351069182
• Artikelnr.: 54060179

Autorenporträt

Qin Zhang received her Ph.D. degree in 2015 at the Norwegian University of Science and Technology (NTNU), Trondheim, Norway. She became a researcher in 2015 at the Center for Research-based Innovation (CRI) Sustainable Arctic Marine and Coastal Technology (SAMCoT), NTNU. Her research interests include remote sensing, image and sensory data processing.

Prof. Roger Skjetne received his MSc degree in 2000 in control engineering at the University of California at Santa Barbara, and his PhD degree in 2005 at the Norwegian University of Science and Technology (NTNU), for which his thesis was awarded the Exxon Mobil prize for best PhD thesis in applied research. Prior to his studies, he worked as an electrician for Aker Elektro AS on numerous oil installations for the North Sea. In 2004-2009 he was employed in Marine Cybernetics AS, working on Hardware-In-the-Loop (HIL) simulation for testing safety-critical marine control systems. From August 2009 he has held the position of Professor in Marine Control Engineering at the Department of Marine Technology at NTNU, where he presently is the leader of the research group on Marine Structures. His research interests are within Arctic stationkeeping operations and Ice Management systems for ships and rigs, environmentally robust control of shipboard electric power systems, and nonlinear control theory for motion control of single and groups of marine vessels. Roger Skjetne is leader of the ice management work package in the CRI Sustainable Arctic Marine and Coastal Technology (SAMCoT), associated researcher in the CoE Centre for Ships and Ocean Structures (CeSOS) and CoE Autonomous Marine Operations and Systems (AMOS), principal researcher in the CRI on Marine Operations (MOVE), and he was project manager for the KMB Arctic DP research project. He is also co-founder of the two companies BluEye Robotics and ArcISo.