What Helps to Detect What? Explainable AI and Multisensor Fusion for Semantic Segmentation of Simultaneous Crop and Land Cover Land Use Delineation

This study introduces two novel explainable AI frameworks, Interclass-Grad-CAM and Spectral-Grad-CAM, designed to enhance the interpretability of semantic segmentation models for Crop and Land Cover Land Use (CLCLU) mapping. Interclass-Grad-CAM provides insights into interactions between land cover...

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Bibliographic Details
Main Authors: Saman Ebrahimi, Saurav Kumar
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Online Access:https://ieeexplore.ieee.org/document/10849589/
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