中国矿业大学主页平台系统 gaoyandong--Home-- 基于深度学习与模型优化的InSAR矿区沉陷监测关键问题研究

Associate professor

Supervisor of Master's Candidates

School/Department:环境与测绘学院

Business Address:江苏省徐州市大学路1号中国矿业大学环境与测绘学院C402（东）

Gender:Male

Degree:Doctoral Degree in Engineering

Alma Mater:中国矿业大学

Discipline:Geodesy and Surveying Engineering

Current position: Home > Scientific Research > Research Projects

基于深度学习与模型优化的InSAR矿区沉陷监测关键问题研究

Release time:2024-02-18 Hits:

Affiliation of Participant(s):环境与测绘学院

Leading Scientist:gaoyandong

Classification of Project:校基本科研业务费项目-青年科技基金

Type of Project:基础研究

Project level:School discipline

Project Number:2023-00117

Date of Project Approval:2023-04-26

Scheduled completion time:2024-12-31

Date of Project Initiation:2023-01-01

Project Approval Number:2023QN1045