测绘通报 ›› 2025, Vol. 0 ›› Issue (1): 78-82.doi: 10.13474/j.cnki.11-2246.2025.0113

• 学术研究 • 上一篇    

基于GF-3全极化SAR指数特征的水体信息提取

宋伟, 石孟宸, 杨阳   

  1. 黄河水利委员会信息中心, 河南 郑州 454000
  • 收稿日期:2024-05-11 发布日期:2025-02-09
  • 作者简介:宋伟(1992—),男,硕士,主要研究方向为遥感影像信息智能提取与水利遥感监测。E-mail:243052997@qq.com
  • 基金资助:
    水利部黄河水利委员会信息中心创新团队项目(HWXXZXCX-202201);国家自然科学基金(52364018)

Water information extraction based on GF-3 fully polarimetric SAR index features

SONG Wei, SHI Mengchen, YANG Yang   

  1. Yellow River Water Conservancy Commission Information Center, Zhengzhou 454000,China
  • Received:2024-05-11 Published:2025-02-09

摘要: 单极化雷达影像在水体信息提取时,对与水体散射特征相似的地物区别能力不高。针对此问题,本文基于全极化高分三号卫星影像数据,分析不同极化方式散射特征,构建不同极化方式的水体指数特征,将得到的指数特征组合构建特征影像数据,利用特征影像结合面向对象的方法实现水体信息的快速、高精度提取,并选取全极化高分三号作为数据进行试验。结果表明,利用不同极化数据构建的水体指数特征影像数据,进行水体提取的效果较好、精度较高。

关键词: 全极化SAR, 水体指数, 特征影像, 高分三号

Abstract: When extracting water information from single-polarization radar images, the ability to distinguish ground objects with similar scattering characteristics to water bodies is not high. Based on the image data of full-polarization GF-3 satellite, scattering characteristics of different polarization modes are analyzed and water index characteristics of different polarization modes are constructed to obtain the feature image data constructed by combining index features. The feature image combined with object-oriented method is used to extract water information quickly and accurately. Full polarization Gaofen-3 is selected as the experimental data, and the experimental results show that the water index feature image data constructed with different polarization data has better water extraction effect and higher precision.

Key words: fully polarimetric SAR, SDWI, feature image, GF-3

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