Mapping Native Vegetation In Mato Grosso Do Sul

This project funded by CNPq proposes developing methods based on machine learning for mapping tree species protected by law in Mato Grosso do Sul (MS) from images collected by UAVs (Unmanned Aerial Vehicles) and for mapping native vegetation throughout the state from orbital images. Continue reading

Deep Learning for Semantic Segmentation of Remote Sensing Data

The present project aims to investigate different strategies to handle the insufficient availability of labeled training data, towards fully exploiting the potential of deep architectures for remote sensing image analysis.
Regarding the application domain, the project aims to employ the solutions to be developed in relevant, concrete problems:
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