Interpretable deep learning framework for land use and land cover classification in remote sensing using shap

HIGHLIGHTS

• who: -XAI and colleagues from the (UNIVERSITY) have published the article: Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing using SHAP, in the Journal: (JOURNAL)
• what: This work proposes an XAI framework for remote sensing data utilizing Shapley additive explanations (SHAP) . In the experiments, the following different three-band combinations of the above selected bands are used, which are a) SWIR-NIR-RED, b) NIR-RED-GREEN and c) NDBINDVI-NDWI; these combinations capture information existing in wavelengths that are able to identify vegetation, water bodies, soil and man . . .
  

   

  

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