Explainable Artificial Intelligence for Machine Learning-Based Photogrammetric Point Cloud Classification

Point clouds are one of the most widely used data sources for spatial modeling. Artificial intelligence approaches have become an important tool for understanding and extracting semantic information of point clouds. In particular, the explainability of machine learning approaches for 3-D data has no...

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Bibliografiset tiedot

Päätekijät:	Muhammed Enes Atik, Zaide Duran, Dursun Zafer Seker
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2024-01-01
Sarja:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Aiheet:	Classification explainable artificial intelligence (XAI) feature selection machine learning photogrammetry point cloud
Linkit:	https://ieeexplore.ieee.org/document/10449351/
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