Automatic terrain sundry identification method

• Main Authors: YANG HUIJUN, YU QIRUI, ZHONG HUANG, QIN YULONG, LI YUNQING, CAO YIFEI, HAN XU, BAO CANCAN, ZHANG JIECHENG, SHEN QIUFENG, CHEN GUOCHAO, WANG LIWEI, LIANG HUIHUI, XU ZEDONG
• Format: Patent
• Language: Chinese; English
• Published: 19.01.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses an automatic terrain sundry identification method, and relates to a terrain sundry identification system based on deep learning. The system performs a series of processing on low-precision three-dimensional terrain point cloud data acquired based on an unmanned aerial vehicle aerial photography technology. To solve the problem that low-precision terrain feature informationis limited, geometrical features and color features of terrain point clouds are reconstructed, a multi-attribute descriptor is designed, and local information of each point in the input terrain pointclouds is described; then, the terrain point clouds are aggregated into a plurality of super points by using a multi-attribute descriptor in unsupervised classification, so that computation complexityis reduced; a directed attribute graph is defined and the super points are combined into a graph structure, namely a super point graph; and finally, the nodes of the super-point graph are classifed by using the proposed LSTM a