A Method for Forest Vegetation Height Modeling Based on Aerial Digital Orthophoto Map and Digital Surface Model

• Published in: IEEE transactions on geoscience and remote sensing Vol. 60; pp. 1 - 7
• Main Authors: Deng, Xingsheng, Tang, Guo, Wang, Qingyang, Luo, Lixia, Long, Sichun
• Format: Journal Article
• Language: English
• Published: New York IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Aerial photography; Algorithms; Correlation; Correlation coefficient; Correlation coefficients; Digital mapping; Digital terrain model (DTM); Feature extraction; Forestry; Forests; geometric features; Height; Image color analysis; Indexes; Learning algorithms; Machine learning; Microwave integrated circuits; Modelling; Orthophotography; Photogrammetry; spectral features; Support vector machines; Surface topography; Terrain models; Topographic maps; Topographic surveying; Topographic surveys; Vegetation; vegetation height model (VHM); Vegetation mapping

The solutions of vegetation height and the mapping of terrain in forest have always been concerning and are still challenging problems. The purpose of this article is to provide a new technical approach for the digital terrain model (DTM) and forest topographic survey by aerial photogrammetry, in co...