3D Adapted Random Forest Vision (3DARFV) for Untangling Heterogeneous-Fabric Exceeding Deep Learning Semantic Segmentation Efficiency at the Utmost Accuracy

Planetary exploration depends heavily on 3D image data to characterize the static and dynamic properties of the rock and environment. Analyzing 3D images requires many computations, causing efficiency to suffer lengthy processing time alongside large energy consumption. High-Performance Computing (H...

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Veröffentlicht in:	arXiv.org 2022-03
Hauptverfasser:	Alfarisi, Omar, Aung, Zeyar, Huang, Qingfeng, Al-Khateeb, Ashraf, Alhashmi, Hamed, Abdelsalam, Mohamed, Salem Alzaabi, Alyazeedi, Haifa, Tzes, Anthony
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Data analysis Decision analysis Decision trees Deep learning Efficiency Energy consumption Image segmentation Machine learning Remote sensing Semantic segmentation Semantics Space exploration
Online-Zugang:	Volltext
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