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作 者:杜宁 刘国栋[1] Du Ning;Liu Guodong
出 处:《重庆建筑》2020年第3期13-14,共2页Chongqing Architecture
摘 要:在处理遥感影像时,有时需要提取影像的像元值,比如提取夜间灯光影像的DN值。当影像较多时,耗费的时间较长。针对这一问题,该文利用Arcpy脚本和ModelBuilder构建了批量提取栅格数据属性表的模型,并用14幅影像数据验证了该模型的有效性。实验结果表明,该模型能够实现批量构建和导出栅格数据属性表,并保存为CSV格式,用时大约4 min,大大提高了工作效率。It is sometimes necessary to extract the pixel values of the remote sensing image in processing, such as the extraction of DN values of the night light image.If there are multiple images, it takes longer time. Given this problem, this paper constructed a model for batch extraction of raster data attribute tables using Arcpy script and ModelBuilder and verified the validity of the model with data of 14 images. The experimental results showed that the model can realize batch construction and export of raster data attribute tables and save them in CSV format, taking about 4 minutes, thus greatly improving the working efficiency.
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