基于Sentinel-1 SAR数据的鄱阳湖水体提取方法对比研究
DOI:
作者:
作者单位:

江西理工大学

作者简介:

通讯作者:

中图分类号:

P33

基金项目:

国家自然科学基金项目


Comparative Study of Water Body Extraction Methods for Poyang Lake Based on Sentinel-1 SAR Data
Author:
Affiliation:

Jiangxi University of Science and Technology

Fund Project:

National Natural Science Foundation of China (NSFC)

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    水资源的有效利用是人类社会赖以生存的重要前提之一,遥感水体提取技术在水体规划与监测中发挥着关键作用。针对Sentinel-1 SAR数据的水体提取,首先分析水体及其周围主要地物的后向散射特性,结合纹理特征、地形特征利用现有的提取方法进行对比分析,并针对鄱阳湖典型的水体环境,提出不同方法的应用策略,以便更有效地提取水体这一目标。研究表明,多特征融合提取可减少水体信息的混淆;相较而言,RF算法的细小水体和边界提取相对精细;而针对浅水区植被,阈值法展现出更好的识别能力;覆盖在水面上的船体对水体面积提取的完整度造成影响。研究探讨了Sentinel-1 SAR数据在鄱阳湖水体提取中的方法适用性,以期为鄱阳湖的水资源监测提供技术支持。

    Abstract:

    Effective utilization of water resources is one of the important prerequisites for the survival of human society, and remote sensing water body extraction technology plays a key role in water body planning and monitoring. For the water body extraction of Sentinel-1 SAR data, firstly, we analyze the backscattering characteristics of the water body and the main features around it, combine texture features and terrain features to make a comparative analysis using the existing extraction methods, and put forward the application strategies of the different methods for the typical water body environment in Poyang Lake, in order to more effectively extract the water body as a goal. The study shows that multi-feature fusion extraction reduces the confusion of water body information; the RF algorithm's fine water body and boundary extraction is relatively fine in comparison; while for the vegetation in shallow water, the threshold method demonstrates a better ability to recognize it; and the hulls of the boats covering the water surface have an impact on the completeness of the extraction of the water body area. The study explores the method applicability of Sentinel-1 SAR data in water body extraction in Poyang Lake, with a view to providing technical support for water resource monitoring in Poyang Lake.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2023-10-16
  • 最后修改日期:2024-05-29
  • 录用日期:2024-06-11
  • 在线发布日期:
  • 出版日期: