Recurrent modular network architecture for sea ice classification in the marginal ice zone using ERS SAR images

A novel iterative approach based on a modular neural architecture (Jacobs, Jordan, and Barto, 1990) is presented for the classification of SAR images of sea ice. In addition to the local image information, the algorithm uses spatial context information derived from the first iteration of the algorithm and refines it in the subsequent iterations. The modular structure of the neural network aims to capture structural features of the SAR images of sea ice in the Marginal Ice Zone.