FULLY CONVOLUTIONAL NETWORKS FOR MULTI-TEMPORAL SAR IMAGE CLASSIFICATION

These are a set of functions to train and test a fully convolutional network on a multi-temporal SAR images. These codes are based on the paper:

A. G. Mullissa, C. Persello, and V. Tolpekin, “Fully convolutional networks for multi-temporal SAR image classification,” in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2018, pp. 6635–6638.

https://www.researchgate.net/publication/326834645_Fully_Convolutional_Networks_for_Multi-Temporal_SAR_Image_Classification

The original implementation was in matlab using the MatConvNet library. This is the same version implemented in Python. The data used in the paper will be released soon.