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Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing
Feb. 22, 2024, 5:41 a.m. | Adrian H\"ohl, Ivica Obadic, Miguel \'Angel Fern\'andez Torres, Hiba Najjar, Dario Oliveira, Zeynep Akata, Andreas Dengel, Xiao Xiang Zhu
cs.LG updates on arXiv.org arxiv.org
Abstract: In recent years, black-box machine learning approaches have become a dominant modeling paradigm for knowledge extraction in Remote Sensing. Despite the potential benefits of uncovering the inner workings of these models with explainable AI, a comprehensive overview summarizing the used explainable AI methods and their objectives, findings, and challenges in Remote Sensing applications is still missing. In this paper, we address this issue by performing a systematic review to identify the key trends of how …
abstract arxiv become benefits box cs.lg explainable ai extraction knowledge machine machine learning modeling overview paradigm review sensing summarizing type
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