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Validation of landsat-8 OLI image simulation

机译:landsat-8 OLI图像仿真的验证

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Simulated remote sensing imagery is valuable for instrument design studies, analysis algorithm development and validation, as well as analyst training. The Digital Imaging and Remote Sensing Image Generation (DIRSIG) suite of software is an image simulation tool developed by the Digital Imaging and Remote Sensing (DIRS) Laboratory at the Rochester Institute of Technology. DIRSIG has a long history of supporting sensor design. In this paper simulated Landsat-8 Operational Land Imager (OLI) imagery generated with DIRSIG is validated by comparison of several metrics with those obtained from analysis of real Landsat-8 OLI imagery. Comparison metrics include the data covariance matrix eigenstructure, supervised classification accuracies and NDVI product values. The results show that when evaluated by these comparison metrics the simulated imagery captures the key characteristics of images for a variety of scenes.
机译:模拟的遥感影像对于仪器设计研究,分析算法开发和验证以及分析师培训非常有价值。数字成像和遥感图像生成(DIRSIG)软件套件是由罗切斯特理工学院的数字成像和遥感(DIRS)实验室开发的图像模拟工具。 DIRSIG在支持传感器设计方面有着悠久的历史。在本文中,通过将几种指标与通过分析实际Landsat-8 OLI图像获得的指标进行比较,验证了使用DIRSIG生成的模拟Landsat-8作战陆地成像仪(OLI)图像。比较指标包括数据协方差矩阵的本征结构,监督分类精度和NDVI乘积值。结果表明,当通过这些比较指标进行评估时,模拟图像捕获了各种场景下图像的关键特征。

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