Deep Learning Method for Nationwide Agricultural Greenhouse Extraction from High Resolution Remote Sensing Imagery

您当前的位置：

首页 >

文章列表页 >

Summary of PhD Thesis | 更新时间：2026-11-05

- Deep Learning Method for Nationwide Agricultural Greenhouse Extraction from High Resolution Remote Sensing Imagery
- Geomatics and Information Science of Wuhan University Vol. 51, Issue 3, Pages: 629(2026)
- 作者机构：
  
  杭州电子科技大学空间信息研究院，浙江杭州，310018
- 作者简介：
- 基金信息：
- DOI：10.13203/j.whugis20250081
  CLC： P208
- Published：05 March 2026
- 稿件说明：
移动端阅览
陈鼎元.高分辨率遥感全国农业大棚深度学习提取方法研究[J].武汉大学学报（信息科学版）,2026,51(3):629.

Citation:CHEN Dingyuan.Deep Learning Method for Nationwide Agricultural Greenhouse Extraction from High Resolution Remote Sensing Imagery[J].Geomatics and Information Science of Wuhan University,2026,51(3):629.
陈鼎元.高分辨率遥感全国农业大棚深度学习提取方法研究[J].武汉大学学报（信息科学版）,2026,51(3):629. DOI：10.13203/j.whugis20250081

Citation:CHEN Dingyuan.Deep Learning Method for Nationwide Agricultural Greenhouse Extraction from High Resolution Remote Sensing Imagery[J].Geomatics and Information Science of Wuhan University,2026,51(3):629. DOI：10.13203/j.whugis20250081

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Three-State Fusion Support Problem of Marine Geographic Information for Ship Navigation

Research Progress on Uncertainty in Radiometric Benchmark Transfer for Ocean Targets

A Framework for Evaluating Geospatial Cognitive Abilities of Multimodal Large Language Models for Brain-Inspired Spatial Intelligence

Tectonic Geodesy： Research Advancements， Opportunities， and Challenges

Autonomous Robotic Mapping for Complex Spaces： Progress， Challenges and Future Perspectives

Related Author

No data

Related Institution

No data

AI问答

⁰