利用多地物指数自动提取水体方法

doi:10.13474/j.cnki.11-2246.2024.1104

摘要/Abstract

摘要： 目前常用的水体提取仍然是半自动的方式,其效率较低且容易出现漏提与误提的现象。本文提出一种利用多地物指数自动提取水体的方法,利用植被指数、水体指数、改进的水体指数及建筑用地指数进行水体与非水体样本的自动提取,训练分类器,进而实现高精度全自动的城市水体提取。选择国内外4种典型的不同地理条件的试验区域,与传统的提取方法进行对比分析,该方法下4个试验区域均取得了较高的提取精度,Kappa系数均达0.94以上。与单一波段阈值法相比,Kappa系数平均提升7.2%;与水体指数法相比,Kappa系数平均提升3.8%。

关键词: 水体提取, 多源数据, 水体指数, 自动提取, 精度评价

Abstract: At present, water extraction is still a semi-automatic method, which has low efficiency and is prone to omissions and extraction errors. In this paper, an automatic water extraction method using multi-feature index is proposed. Vegetation index, water index, improved water index and building land index are used to automatically extract water and non-water samples, and the classifier is trained to realize high-precision and automatic urban water extraction. Four typical experimental areas with different geographical conditions at home and abroad are selected for comparison and analysis with the traditional extraction method. Under this method, high extraction accuracy is achieved in all the four experimental areas, and Kappa coefficient reached above 0.94. Compared with single-band threshold method, Kappa coefficient increases by 7.2% on average. Compared with the water index method, Kappa coefficient increased by 3.8% on average.

Key words: water extraction, multi-source data, water index, automatic extraction, accuracy evaluation

中图分类号:

P237

张宝文, 赵展. 利用多地物指数自动提取水体方法[J]. 测绘通报, 2024, 0(11): 21-26.

ZHANG Baowen, ZHAO Zhan. Automatic extraction of water body using multi-feature index[J]. Bulletin of Surveying and Mapping, 2024, 0(11): 21-26.

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