Interchangeability of Cross-Platform Orthophotographic and LiDAR Data in DeepLabV3+-Based Land Cover Classification Method

Interchangeability of Cross-Platform Orthophotographic and LiDAR Data in DeepLabV3+-Based Land Cover Classification Method

Riverine environmental information includes important data to collect, and the data collection still requires personnel’s field surveys. These on-site tasks still face significant limitations (i.e., hard or danger to entry). In recent years, as one of the efficient approaches for data collection, ai...

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Bibliographic Details
Main Authors: Shijun Pan, Keisuke Yoshida, Satoshi Nishiyama, Takashi Kojima, Yutaro Hashimoto
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Land
Subjects:
airborne LiDAR bathymetry
cross-platform
deep learning
green LiDAR system
riverine land cover classification
Online Access:https://www.mdpi.com/2073-445X/14/2/217
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