Datagov Opendata Platform

This project is the second year of a two-year project, with the main research results including: (1) collection of relevant literature and exploration of the methods and feasibility of applying deep learning to the recognition of slope variations; (2) analysis of multi-scale remote sensing vehicles such as satellites, aerial surveys, UAVs, etc., and aerial image processing methods; (3) interviews with practical application units to understand the needs of highway slope maintenance and management systems; (4) explanation of the applicability of deep learning neural network models to the task of recognizing slope variations.