ICE DETECTION AND CLASSIFICATION IN LIAODONG BAY WITH ENVISAT ASAR IMAGERY

摘要

The surface scattering characteristics of different ice types in Liaodong Bay were analyzed with ENVISAT ASAR imagery. The results show that ENVISAT ASAR can distinguish coastal fast-land ice, level ice and brash ice in Liaodong Bay. Then a semi-automatic classification interpretation system based on time-index image PCNN (Pulse Coupled Neural Network) is presented for ENVISAT ASAR imagery. The ice classification interpretation system can distinguish ice from open water, and identify different types of ice in Liaodong bay in small area. And some ice detection results are given at the end of the paper.