| 赵明海,黎飞明,王 栋,牛丽娟.基于遥感OBIA和U-Net的土壤侵蚀监测方法研究[J].林业调查规划,2022,(3):27-31 |
| 基于遥感OBIA和U-Net的土壤侵蚀监测方法研究 |
| Soil Erosion Monitoring Method Based on Remote Sensing OBIA and U-Net |
| |
| DOI： |
| 中文关键词: 遥感影像 土壤监测 土壤侵蚀 图像分割 U-Net OBIA |
| 英文关键词: remote sensing soil monitoring soil erosion image segmentation U-Net OBIA |
| 基金项目:陕西铁路工程职业技术学院科研基金（KY2020-38）. |
|
| 摘要点击次数: 13 |
| 全文下载次数: 14 |
| 中文摘要: |
| 为改善传统土壤监测过程效率低、成本高及扩展性差等缺点，在分析OBIA技术和深度学习图像分割算法基础上，设计了一种端对端的多分辨率遥感土壤监测算法。该算法使用OBIA作为训练标签，通过U-Net提供像素级别属于特定土壤侵蚀类别的概率信息，并结合阈值产生最终分割结果图。仿真结果表明，该方法准确率和召回率结果明显优于传统OBIA方法。 |
| 英文摘要: |
| In order to improve the low efficiency, high cost and poor scalability of traditional soil monitoring process, an end-to-end multi-resolution remote sensing soil monitoring algorithm was designed based on OBIA technology and deep learning image segmentation algorithm. The algorithm used OBIA as training tag, provided probability information of pixel level belonging to a specific soil erosion category through U-Net, and generated final segmentation result map combined with threshold. The simulation results showed that the accuracy and recall of the proposed method were significantly better than the traditional OBIA method. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
