任超,刘桃林

• 1:桂林理工大学测绘地理信息学院
• 2:广西空间信息与测绘重点实验室

摘要(Abstract)：

针对遥感影像进行水体提取存在普适性不高和难以取得最佳阈值问题，该文提出一种布谷鸟搜索算法与OTSU结合组成大津布谷鸟自适应阈值找寻方法(Cuckoo Search OTSU,CS-OTSU)。首先利用大津法进行多级阈值分割，然后在布谷鸟搜索算法的基础上增加一种新的步长搜索机制代替OTSU穷举式多级阈值搜索，并利用取得最佳阈值对遥感影像进行水体提取。通过实验表明，CS-OTSU可快速对不同环境进行水体提取，在精度上优于其他阈值方法，总体精度均大于97%,Kappa系数高于0.93。

关键词(KeyWords)： OTSU;布谷鸟搜索算法;水体提取;自适应阈值

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(42064003)

作者(Author): 任超,刘桃林

DOI: 10.16251/j.cnki.1009-2307.2022.09.020

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