On the use of XAI for CNN model interpretation: a remote sensing case study

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...

Full description

Bibliographic Details
Main Authors: Moradi, Loghman, Kalantar, Bahareh, Zaryabi, Erfan Hasanpour, Abdul Halin, Alfian, Ueda, Naonori
Format: Conference or Workshop Item
Published: IEEE 2022
Online Access:http://psasir.upm.edu.my/id/eprint/37761/

Similar Items

Similar Items