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Combining recurrent and residual learning for deforestation monitoring using multitemporal SAR images
With its vast expanse, exceeding that of Western Europe by twice, the Amazon rainforest stands as the largest forest of the Earth, holding immense importance in global climate regulation.
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data
This work proposes a multi-task fully convolutional architecture for tree species mapping in dense forests from sparse and scarce polygon-level annotations using hyperspectral UAV-borne data.
Automatic tracking of vessel-like structures from a single starting point
Further visual results also show the potential of our approach for identifying vascular networks topologies.
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