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Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring
May 2, 2024, 4:44 a.m. | Sizhuo Li, Dimitri Gominski, Martin Brandt, Xiaoye Tong, Philippe Ciais
cs.CV updates on arXiv.org arxiv.org
Abstract: Image-level regression is an important task in Earth observation, where visual domain and label shifts are a core challenge hampering generalization. However, cross-domain regression with remote sensing data remains understudied due to the absence of suited datasets. We introduce a new dataset with aerial and satellite imagery in five countries with three forest-related regression tasks. To match real-world applicative interests, we compare methods through a restrictive setup where no prior on the target domain is …
abstract aerial arxiv challenge core cs.cv data dataset datasets domain earth earth observation embedding however image monitoring observation regression sensing space type visual
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