Search Results for author:
Found 2 papers, 1 papers with code
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification
To address this problem, a novel end-to-end supervised classification method is proposed for HR SAR images by considering both spatial context and statistical features.
Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network
CV-FCN employs a complex downsampling-then-upsampling scheme to extract dense features.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
