On the use of XAI for CNN model interpretation: a remote sensing case study
In this paper, we investigate the use of Explainable Artificial Intelligence (XAI) methods for the interpretation of two Convolutional Neural Network (CNN) classifiers in the field of remote sensing (RS). Specifically, the SegNet and Unet architectures for RS building information extraction and segm...
| Autores principales: | , , , , |
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| Formato: | Conference or Workshop Item |
| Publicado: |
IEEE
2022
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