42 citations · 144 across the 23 of their papers we have counts for
6 papers · 1 filter
Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing
Yi Wang, Hugo Hernández Hernández, Conrad M Albrecht +1
Self-supervised learning guided by masked image modelling, such as Masked AutoEncoder (MAE), has attracted wide attention for pretraining vision transformers in remote sensing. How…
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham +3
The increasing availability of multi-sensor data sparks wide interest in multimodal self-supervised learning. However, most existing approaches learn only common representations ac…
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection
Yi Wang, Chenying Liu, Arti Tiwari +4
Discovering ancient agricultural terraces in desert regions is important for the monitoring of long-term climate changes on the Earth's surface. However, traditional ground surveys…
Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment
Shivam Pande, Nassim Ait Ali Braham, Yi Wang +3
Hyperspectral image (HSI) classification is gaining a lot of momentum in present time because of high inherent spectral information within the images. However, these images suffer…
DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience
Wenlu Sun, Yao Sun, Chenying Liu +1
Urban land use structures impact local climate conditions of metropolitan areas. To shed light on the mechanism of local climate wrt. urban land use, we present a novel, data-drive…
Biomass Estimation and Uncertainty Quantification from Tree Height
Qian Song, Conrad M Albrecht, Zhitong Xiong +1
We propose a tree-level biomass estimation model approximating allometric equations by LiDAR data. Since tree crown diameters estimation is challenging from spaceborne LiDAR measur…