测绘通报 ›› 2023, Vol. 0 ›› Issue (5): 38-43.doi: 10.13474/j.cnki.11-2246.2023.0133

• 学术研究 • 上一篇    下一篇

面向GF-7影像的绿波改正归一化水体指数构建

马海超1,2, 王崇倡1, 何昭宁2, 信晟2, 王蕾1,2   

  1. 1. 辽宁工程技术大学测绘与地理科学学院, 辽宁 阜新 123000;
    2. 自然资源部国土卫星遥感应用中心, 北京 100048
  • 收稿日期:2022-07-14 修回日期:2023-03-04 发布日期:2023-05-31
  • 通讯作者: 何昭宁。E-mail:156882717@qq.com
  • 作者简介:马海超(1997-),男,硕士生,研究方向为遥感图像处理。E-mail:328188949@qq.com
  • 基金资助:
    高分遥感测绘应用示范系统(二期)(42-Y30B04-9001-19/21)

Construction of green wave correction normalized water body index for GF-7 images

MA Haichao1,2, WANG Chongchang1, HE Zhaoning2, XIN Sheng2, WANG Lei1,2   

  1. 1. School of Geomatics, Liaoning Technical University, Fuxin 123000, China;
    2. Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China
  • Received:2022-07-14 Revised:2023-03-04 Published:2023-05-31

摘要: 针对高分辨率的GF-7卫星影像水体指数构建,本文以南京市浦口区为研究区,提出了一种绿波改正归一化指数(GNDVI),并用单波段阈值法、NDVI、NDWI、CWI及SBI等方法与其进行精度比较。结果表明,GNDVI指数法总体精度高于其他方法,达97.26%,水体信息更加完整,对山体及建筑物阴影的抑制较好,效果最优。为GF-7遥感影像在水资源保护应用和研究提供了可用的技术参考。

关键词: GF-7卫星, 水体提取, 水体指数构建, GNDVI, 精度

Abstract: Based on the construction of high-resolution GF-7 satellite image water index, taking Pukou district of Nanjing as the research area, a green normalized difference vegetation index (GNDVI) is proposed, and the accuracy is compared with the single-band threshold method, NDVI, NDWI, CWI and SBI. The results show that the overall accuracy of the GNDVI index method is higher than that of other methods, reaching 97.26%, the water body information is more complete, and the suppression of mountain and building shadows is better, and the effect is optimal. It provides a usable technical reference for GF-7 remote sensing images in the application and research of water resources protection.

Key words: GF-7 satellite, water body extraction, construction of water body index, GNDVI, accuracy

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