3 papers
eess.IV2021
Self-supervised Remote Sensing Images Change Detection at Pixel-level
Yuxing Chen, Lorenzo Bruzzone
Deep learning techniques have achieved great success in remote sensing image change detection. Most of them are supervised techniques, which usually require large amounts of traini…
eess.IV2021
Self-supervised SAR-optical Data Fusion and Land-cover Mapping using Sentinel-1/-2 Images
Yuxing Chen, Lorenzo Bruzzone
The effective combination of the complementary information provided by the huge amount of unlabeled multi-sensor data (e.g., Synthetic Aperture Radar (SAR) and optical images) is a…
cs.CV2020
MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images
Lei Ding, Kai Zheng, Dong Lin +4
There are limited studies on the semantic segmentation of high-resolution Polarimetric Synthetic Aperture Radar (PolSAR) images due to the scarcity of training data and the inferen…