The presentation illustrates an explainable ibrid approach soft computing-machine learning to interpret remote sensing images by combining both ill-defined domain knowledge and information relative to in situ observations. A study case to map standing water areas from optical remote sensing images is presented.
A Soft computing approach exploiting both domain knowledge and ground truth data to map environmental status from remote sensing
Gloria Bordogna
2020
Abstract
The presentation illustrates an explainable ibrid approach soft computing-machine learning to interpret remote sensing images by combining both ill-defined domain knowledge and information relative to in situ observations. A study case to map standing water areas from optical remote sensing images is presented.File in questo prodotto:
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