PolSAR Image Classification Using Hybrid Conditional Random Fields Model Based on Complex-Valued 3-D CNN
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DOI: 10.1109/taes.2021.3050648
Abstract: In this article, we propose a hybrid conditional random field model based on complex-valued 3-D convolutional neural network (C3NN), named as HCRF-C3NN, for polarimetric synthetic aperture radar (PolSAR) image classification. HCRF-C3NN combines the modeling power… read more here.
Keywords: image classification; hcrf c3nn; c3nn; polsar image ... See more keywords