基于GDAL的遥感影像优化线性拉伸增强实现  

Optimized Linear Stretch for Remote Sensing Images Based on GDAL

作　　者：高磊[1,2] 吴勤书 GAO Lei;WU Qinshu(Survery Engineering Institute of Jiangsu Province,Nanjing Jiangsu 210013,China;Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources,Nanjing Jiangsu 210013,China;Jiangsu Provincial Research Institute of Surveying and Mapping,Nanjing Jiangsu 210013,China)

机构地区：[1]江苏省测绘工程院,江苏南京210013 [2]自然资源部国土卫星遥感应用重点实验室,江苏南京210013 [3]江苏省测绘研究所,江苏南京210013

出　　处：《北京测绘》2020年第11期1508-1510,共3页Beijing Surveying and Mapping

基　　金：江苏省测绘地理信息科研项目(JSCHKY201916)。

摘　　要：影像优化线性拉伸增强是专业遥感分析软件ENVI针对16 bit遥感影像产品数据可视化推荐的首选方法,本文对该算法的原理进行了细致研究,同时利用Python语言,基于地理空间数据抽象库GDAL对该算法进行了编程实现,并封装了可视化运行工具。结果显示原始影像经本工具拉伸增强后的效果与ENVI软件处理的结果保持了高度的一致性,同时处理效率提高了近50%,为在缺乏商业软件的情况下进行应急测绘制图、遥感产品快视图制作等工作提供了便利。Optimized Linear Stretch algorithm is the recommended method provided by professional remote sensing analysis software ENVI,for visualizing 16 bit remote sensing imagery product.The principle of the algorithm is studyed carefully and implemented as a visualization tool based on GDAL with Python.The result shows our tool has maintained the products’consistency as ENVI,but with higher processing efficiency about 50%.It is conducive to the work of emergency surveying and mapping,and the production of quick-view of remote sensing products in the absence of commercial software.

关 键 词：地理空间数据抽象库(GDAL) 遥感 优化线性拉伸 

分 类 号：P237[天文地球—摄影测量与遥感]