|Title||AUTOMATIC FEATURE LEARNING OF SAR IMAGES FOR SEA ICE CONCENTRATION ESTIMATION USING FEED-FORWARD NEURAL NETWORKS|
|Publication Type||Conference Paper|
|Year of Publication||2014|
|Authors||Wang, L., A. K. Scott, and D. A. Clausi|
|Conference Location||Quebec City|
|Keywords||neural network, regression, SAR, Sea ice concentration|
A two layer feed forward neural network is used to estimate ice concentration from SAR images directly in this research. SAR image patches are used as input. The CIS (Canadian Ice Service) ice concentration image analyses are used to train the neural network. The experiment shows that the simple neural network can be used to generate a reasonable ice concentra- tion with no preprocessing to the SAR images.