644 citations · 1.2k across the 5 of their papers we have counts for
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A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing Data
Gianmarco Perantoni, Lorenzo Bruzzone
Deep learning has gained broad interest in remote sensing image scene classification thanks to the effectiveness of deep neural networks in extracting the semantics from complex da…
Incomplete Multimodal Learning for Remote Sensing Data Fusion
Yuxing Chen, Maofan Zhao, Lorenzo Bruzzone
The mechanism of connecting multimodal signals through self-attention operation is a key factor in the success of multimodal Transformer networks in remote sensing data fusion task…
Unsupervised CD in satellite image time series by contrastive learning and feature tracking
Yuxing Chen, Lorenzo Bruzzone
While unsupervised change detection using contrastive learning has been significantly improved the performance of literature techniques, at present, it only focuses on the bi-tempo…
Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data
Devis Tuia, Claudio Persello, Lorenzo Bruzzone
The success of supervised classification of remotely sensed images acquired over large geographical areas or at short time intervals strongly depends on the representativity of the…
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity
Yuanxin Ye, Jie Shan, Lorenzo Bruzzone +1
Automatic registration of multimodal remote sensing data (e.g., optical, LiDAR, SAR) is a challenging task due to the significant non-linear radiometric differences between these d…
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…