在多种土地覆盖类型中对遥感水库监测进行比较研究
Wanyub Kim1, Seulchan Lee2, Minha Choi3
1Department of Global Smart City, Sungkyunkwan University, Suwon 440-746, Republic of Korea.
The Science of the total environment
|July 11, 2024
概括
为水资源管理优化合成孔径雷达 (SAR) 图像分析需要仔细选择斑点过和物体检测技术. 最好的方法取决于土地覆盖面和水体大小,以准确地检测水和储存估计.
科学领域:
- 地球观测 地球观测
- 遥感 遥感 遥感 遥感
- 水文学的水文学
背景情况:
- 持续监测水库和水对于有效的水资源管理至关重要.
- 合成孔径雷达 (SAR) 图像为观测地表水提供全天候能力.
研究的目的:
- 通过使用Sentinel-1 SAR数据,提高水体检测和数量估计的准确性.
- 评估 64 种光斑过和物体检测技术的组合.
主要方法:
- 应用了Median,Gaussian,Lee和Frost斑点过器,窗口大小为3-9个.
- 使用Otsu,Kittler-Illingworth (KI),Chan-Vese (CV) 和K-手段进行水检测.
- 与Sentinel-2衍生水面罩和现场储存数据进行验证的结果.
主要成果:
- 最佳检测技术因土地覆盖类型和水体大小而有所不同.
- 陈维斯 (CV) 在海像素方面表现出色;基特勒-伊林格沃斯 (KI) 在其他土地覆盖方面表现最好.
- 较大的斑点过窗减少了错误检测,但模糊了水界.
结论:
- 根据特定的土地覆盖类型量身定制斑点过和物体检测方法,可以提高水检测的准确性.
- 较小的窗口尺寸用于斑点过和优化的检测技术改善了水面积和储存估计.
- 用掩盖数据进行后处理,通过SAR图像进一步完善水资源监测.
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