Brilliant dive into geospatial foundational models. The AlphaEarth similarity search for finding unmapped airports is genuinely clever since most existing approaches focus on supervised classification which miss new structures entirely. I've been tinkering with SAM adaptations for agricultural monitoring and the domain gap between training data and real-world imagery from developing regions is way underetsimated. The autonomous infrastrucutre discovery pipeline sounds promising but the vectorization step probably needs more work for reliable automation.
Brilliant dive into geospatial foundational models. The AlphaEarth similarity search for finding unmapped airports is genuinely clever since most existing approaches focus on supervised classification which miss new structures entirely. I've been tinkering with SAM adaptations for agricultural monitoring and the domain gap between training data and real-world imagery from developing regions is way underetsimated. The autonomous infrastrucutre discovery pipeline sounds promising but the vectorization step probably needs more work for reliable automation.
Thanks! I agree, vectorization step requires more reliable efforts to remove outliers. This seems to be a limitation of the model itself.