Ship three-dimensional point cloud model height measurement method based on machine learning algorithm

The invention relates to a ship three-dimensional point cloud model height measurement method based on a machine learning algorithm. A reflective auxiliary reference platform is arranged on a river bank in front of a laser scanner, the laser scanner scans the auxiliary reference platform and a to-be...

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Bibliographische Detailangaben
Hauptverfasser: HU CHENGXIAO, CHEN YUCONG, YANG YONG, ZHU QINGHUA, YUAN WEIDONG, LU JIAHUI, ZHANG QIUSHI, HE RUNPING, WANG ZONGQI, WANG YANG, TANG CONGWEI, LU ZHONGXIN, WANG ZHEFEI, GONG CHUNBIN, LIU TAO, YANG YILIN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention relates to a ship three-dimensional point cloud model height measurement method based on a machine learning algorithm. A reflective auxiliary reference platform is arranged on a river bank in front of a laser scanner, the laser scanner scans the auxiliary reference platform and a to-be-detected ship at the same time to obtain a three-dimensional point cloud scene, the three-dimensional point cloud scene is preprocessed and then analyzed through a machine learning algorithm, ship point cloud is extracted, and a normal vector of the surface of the auxiliary reference platform is obtained; and calculating the ship point cloud according to the normal vector to obtain the distance between the highest point of the ship point cloud and the river bank point cloud, and calculating the ship height by combining the distance between the river bank and the horizontal plane of the day. According to the method, the laser scanner is used for measuring the height of the ship, and compared with two-dimensional im