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从遥感影像提取图斑灰度值的方法与实践
引用本文:郝星耀,冯仲科,仝慧杰.从遥感影像提取图斑灰度值的方法与实践[J].北京林业大学学报,2007(Z2).
作者姓名:郝星耀  冯仲科  仝慧杰
基金项目:国家自然科学基金项目(90302014)
摘    要:为了给遥感反演模型提供可靠数据,该文设计了一种按面积加权计算不规则图斑遥感影像灰度值的方法,特别是当图斑面积接近像元大小的时候;遥感数据采用被广泛支持的GeoTIFF格式,使用Matlab将遥感影像的灰度信息及元数据读取并存入数据库中;通过将像元分解成更小的单元,统计各像元在图斑内小单元的个数,计算图斑在各像元所占的面积,按照面积加权的方式计算得到图斑的平均灰度值.实例中以TM影像为数据源,输入样地和小班的坐标点序列,就可输出各自的灰度值,证明了该方法切实可行.与提取图斑几何中心点或重心点所在像元的灰度值相比,该方法避免了异常值的出现,更加合理准确.

关 键 词:遥感  平均灰度值  图斑  GeoTIFF  Matlab

Method and practice of reading the gray values of relative compartment area on the remote sensing image.
Abstract:To provide credible data for empirical model,a method of calculating the weighted average gray value of compartment area was designed in this paper.It worked especially when the compartment area was as large as pixel.The GeoTIFF form was adopted as the RS data type.The Matlab software was used to read and store RS image.The pixel was divided into smaller units to calculate the area of spackle in each pixel by counting the amount of the units.In the example,inputting the TM RS image and a set of coordinates,then the average gray value of the compartment area was output.The result is much more credible comparing with the result taken out when the compartment area is substituted by a single point.
Keywords:remote sensing  average gray value  compartment area  GeoTIFF  Matlab
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