测绘学报 ›› 2017, Vol. 46 ›› Issue (4): 468-477.doi: 10.11947/j.AGCS.2017.20160304

• 摄影测量学与遥感 • 上一篇    下一篇

一种提取城市多种不透水层的垂直不透水层指数

田玉刚, 徐韵, 杨晓楠   

  1. 中国地质大学(武汉)信息工程学院, 湖北 武汉 430074
  • 收稿日期:2016-07-15 修回日期:2017-02-13 出版日期:2017-04-20 发布日期:2017-05-05
  • 作者简介:田玉刚(1977-),男,副教授,研究方向为遥感信息提取及应用。
  • 基金资助:
    国家重点研发计划(2016YFB0502603)

Perpendicular Impervious Index for Remote Sensing of Multiple Impervious Surface Extraction in Cities

TIAN Yugang, XU Yun, YANG Xiaonan   

  1. College of Information Engineering, China University of Geosciences(Wuhan), Wuhan 430074, China
  • Received:2016-07-15 Revised:2017-02-13 Online:2017-04-20 Published:2017-05-05

摘要: 针对中低分辨率影像中不透水层的异质性及其与裸土光谱的易混性两类问题,选用蓝、近红外波段进行线性组合,构建了一种新的不透水层提取指数——垂直不透水层指数(PⅡ)。该指数考虑了不透水层和其他地物在光谱空间的差异与不透水层的内部异质性,并以“不透水层线”与“土壤线”夹角的角平分线作为PⅡ的参照线,实现了自适应的不透水层提取。本文将PⅡ指数应用于武汉和北京不同场景中,并对比归一化建筑物指数(NDBI)、比值居民地指数(RRI)以及生物物理组份指数(BCI)的提取结果。试验表明:①在裸土较少、地形平坦的武汉市区域和裸土较多、地形起伏的北京市区域,PⅡ指数均能有效减弱裸土的混淆影响,不透水层提取精度分别达到96.05%和96.76%,优于其他3种指数;②PⅡ指数不仅增强了不透水层与其他地物的可区分性,还保持了不透水层类内的相似性,在城市不同场景中的不透水层提取精度均能达到90%以上。由于PⅡ指数是一种线性组合形式的指数,能够根据研究区的地物光谱自适应调整指数的方程系数,从而能适用于不同研究区,在裸地较多的地区优势尤为明显。

关键词: 土壤线, 不透水层线, 不透水层提取, 垂直不透水层指数(PⅡ)

Abstract: Focusing on the issues of impervious layers' heterogeneity and confusion with soil, a method is presented—perpendicular impervious index (PⅡ), which considers blue and near infrared bands selected based on spectral characteristics of ground objects in LandSat-8 images. The PⅡ is established in a linear form, and its reference line is calculated based on the angle bisector of impervious layer line and soil line. Impervious surfaces are extracted using PⅡ on LandSat-8 images of Beijing and Wuhan, which is compared with the normalized difference building index (NDBI), ratio resident-area index (RRI) and biophysical composition index (BCI) in the same areas. The conclusions are as follow: ① PⅡ is superior than other indexes in separating impervious layers from bare soil in both the Wuhan and Beijing, the extracting accuracy is 96.05% and 96.76%,respectively; ② PⅡ is also effective in different environments, where the impervious layer shows various spectrums. Due to the linear combination form, PⅡ can adjust its coefficients depending on spectra of ground objects in different study areas, which gets higher accuracy in extracting impervious layers than other indexes,especially in regions containing more bare soil.

Key words: soil line, impervious layers line, impervious surface extraction, perpendicular impervious index (PⅡ)

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