测绘通报 ›› 2023, Vol. 0 ›› Issue (6): 146-149,175.doi: 10.13474/j.cnki.11-2246.2023.0184

• 技术交流 • 上一篇    下一篇

利用0.5m分辨率卫星数据提取深圳市内浅水水体

刘敏, 黄金辉, 彭振华, 吴震宇   

  1. 广东省国土资源技术中心, 广东 广州 510030
  • 收稿日期:2022-08-10 发布日期:2023-07-05
  • 作者简介:刘敏(1987-),男,硕士,工程师,主要研究方向为摄影测量与遥感。E-mail:491940599@qq.com

Extraction of shallow water bodies in Shenzhen using 0.5 m resolution satellite data

LIU Min, HUANG Jinhui, PENG Zhenhua, WU Zhenyu   

  1. Guangdong Land and Resources Technology Center, Guangzhou 510030, China
  • Received:2022-08-10 Published:2023-07-05

摘要: 以国产高景卫星影像为数据源,选取了深圳市内海岸浅水区、水库浅水区作为研究对象,针对浅水区域因底质的影响使近岸水体与沿岸土沙光谱反射率较为接近,导致水体边界提取难度大、精度差的难题,利用改进的变异系数法筛选水体指数,再结合DEM数据修正水体边界线并去噪,较精确地获取了浅水区水体边界。结果表明,本文方法对0.5 m分辨率卫星影像上的海岸浅水区、水库浅水区判别的总体精度分别为98.57%、91.10%,浅水区域水体提取的精度和稳定性得到了明显提高。

关键词: 高分辨率卫星影像, DEM数据, 浅水区, 水体指数

Abstract: Taking the domestic SuperView satellite images as the data source, the coastal shallow water area, reservoir shallow water area in Shenzhen are selected as the research objects,due to the influence of the substrate in the shallow water area,the reflectance of coastal water and coastal soil is close, which causes the difficulty and poor accuracy of water boundary extraction. Using the improved coefficient of variation method to screen the water index, combined with DEM data to modify the water boundary line and denoise, the shallow water boundary is obtained more accurately.The results show that the overall accuracy of discrimination of coastal, reservoir shallow water in the 0.5 m resolution satellite images is 98.75% and 91.10% respectively, the accuracy and stability of shallow water extraction are significantly improved.

Key words: high-resolution satellite images, DEM data, shallow water, water body index

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