Tracking and Predicting Fine Scale Sea Ice Motion by Constructing Super-Resolution Images and Fusing Multiple Satellite Sensors

• Main Authors: Tian, Yingli, Meier, Walter N, Weiss, William S
• Other Authors: NAVAL UNDERSEA WARFARE CENTER DIV NEWPORT RI
• Format: Text
• Language: English
• Published: 2013
• Subjects: Snow; Ice and Permafrost; Numerical Mathematics; Photography; Target Direction; Range and Position Finding; *ALGORITHMS; *AUTOMATIC TRACKING; *SATELLITE IMAGERY; *SEA ICE; DATA FUSION; HIGH RESOLUTION; MICROWAVES; PREDICTIONS; *SEA ICE MOTION; *SUPER-RESOLUTION IMAGES; PASSIVE MICROWAVE SENSORS; SUPER RESOLUTION ALGORITHMS; Arctic; Arctic Ocean; Ice; permafrost; Sea ice
• Online Access: http://www.dtic.mil/docs/citations/ADA605132; http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA605132

Tracking and predicting the fine scale sea ice motion will be particularly critical to safe Navy operations in the Arctic Ocean. It is also very important to monitor and track the size, shape, and location of sea ice in near real-time (within several hours of data acquisition), and predict the motion of sea ice for ice hazard forecasts in a finer scale than is currently possible. The log-term goal of this project is to explore new algorithms for the purpose of constructing and analyzing super-resolution images from multiple satellite sensors for automatic tracking and prediction of fine scale sea ice motion in Arctic Ocean. The objective of our proposal is to: 1) construct super-resolution images from satellite sensors which will significantly improve the tracking of sea ice motion from a coarse scale to a finer scale; and 2) implement data fusion methods to combine data from passive microwave and other satellite sensors to produce more accurate tracking and prediction of sea ice motion. Prepared in collaboration with the Cryospheric Sciences Lab, NASA Goddard Space Flight Center, Greenbelt, MD, and the Department of Electrical Engineering, The City College of New York, New York, NY.