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Found 3 papers, 1 papers with code
Predicting urban tree cover from incomplete point labels and limited background information
This paper studies how to combine accurate point labels of urban trees along streets with crowd-sourced annotations from an open geographic database to delineate city trees in remote sensing images, a task which is challenging even for humans.
Benchmarking Individual Tree Mapping with Sub-meter Imagery
There is a rising interest in mapping trees using satellite or aerial imagery, but there is no standardized evaluation protocol for comparing and enhancing methods.
MaskIt: Masking for efficient utilization of incomplete public datasets for training deep learning models
In the paper, we present a masking approach for training deep learning models from a publicly available but incomplete dataset.
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