Floe Size Mapping from Satellite SAR Images and Icewatch Observations in the Beaufort Sea during Autumn 2015
NAVAL RESEARCH LAB WASHINGTON DC WASHINGTON United States
Pagination or Media Count:
An approach for automatic detection of the sea ice type in the MIZ from RADARSAT-2 SAR images with HH polarization and resolution of50 m has been developed and tested. The approach is based on texture analysis using the GLCM Gray-Level Co-occurrence Matrix method and several additional functions based on the estimates of the averaged gradient tensor. A machine learning technique Support Vector Machine, or SVM is applied to imagery of ice taken for the region of the Beaufort Sea in autumn 2015, with observations of ice type from two ship cruises used as ground truth. It is found that this method shows promise, but the training requires more collocations than is practical at present-specifically, the ubiquitous inhomogeneity of ice presents a challenge for colocation, as it limits the training set.
- Snow, Ice and Permafrost
- Active and Passive Radar Detection and Equipment