一种传统民居遥感提取方法Traditional residence extraction from high-resolution imagery based on morphological building index and texture
郑文武,邓运员,罗亮,刘沛林,刘晓燕
摘要(Abstract)：
针对基于地物光谱统计特征的建筑物提取方法由于存在较大的同物异谱现象导致提取结果不满足要求的问题,该文提出了一种基于形态学建筑物指数并顾及纹理特征的遥感提取方法。该方法综合考虑传统民居在高分辨率遥感影像上的光谱、形态和纹理特征,首先利用形态学建筑物指数法提取建筑,并使用最小矩形长宽比和像元个数区分道路和零星地物,而后利用Contourlet变换和谱直方图相似性计算进行纹理甄别,实现传统民居的遥感识别和提取。为了验证该方法,选取湖南省常宁市庙前镇中田村QuickBird影像进行试验,结果表明该方法能够获得较高精度的提取结果,整体精度为71.54%,影响提取精度的关键原因为损毁严重的建筑物光谱特征与目标图像纹理相差较大。
关键词(KeyWords)： 传统民居提取;形态学建筑物指数;Contourlet变换;高分辨率影像
基金项目(Foundation): 国家自然科学基金项目(41471118,41171122);; 教育部人文社科项目(11YJCZH255,10YJAZH015);; 湖南省高校创新平台开放基金项目(14k015);; 湖南省重点实验室开放项目;; 湖南省大学生研究性学习和创新性实验计划项目(湘教通〔2014〕248号)
作者(Author): 郑文武,邓运员,罗亮,刘沛林,刘晓燕
DOI: 10.16251/j.cnki.1009-2307.2015.10.018
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