摄影测量学
光学(聚焦)
计算机科学
三维模型
人工智能
遥感
计算机视觉
地质学
光学
物理
作者
Hande Işık Öztürk,Isfandiyar Rashidzade
标识
DOI:10.1016/j.conbuildmat.2020.120794
摘要
Abstract Over the last half-century, various image-based methods have been developed to quantify the morphological indices of aggregates. The majority of these methods rely on two-dimensional (2D) imaging for practical reasons, whereas a limited number of these use three-dimensional (3D) imaging. The focus of this study is to develop a practical and inexpensive 3D photogrammetry based method. In this study, 3D morphological indices and shape features of 57 aggregates from five sources are determined by the photogrammetry method and compared with 2D indices. As a result, a precise and low-cost alternative was developed as an alternative to existing 3D techniques.
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