38 citations · 73 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 35 cited
OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing images
Houcai Guo, Dingqi Ye, Lorenzo Bruzzone
Spatiotemporal fusion aims to improve both the spatial and temporal resolution of remote sensing images, thus facilitating time-series analysis at a fine spatial scale. However, th…
eess.IV2018★ 38 cited
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification
Yao Qin, Lorenzo Bruzzone, Biao Li +1
This paper introduces a novel heterogenous domain adaptation (HDA) method for hyperspectral image classification with a limited amount of labeled samples in both domains. The metho…