Validation of landsat-8 OLI image simulation

机译：验证Landsat-8 OLI图像仿真

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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：模拟遥感图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是有价值的。软件的数字成像和遥感图像生成（DIRSIG）套件是由罗切斯特理工学院的数字成像和遥感（DIRS）实验室开发的图像仿真工具。 Dirsig具有支持传感器设计的悠久历史。在本文中，通过比较来自Real Landsat-8 Oli Imagerery的分析而获得的若干指标，验证了使用DirSig产生的覆盖覆盖的覆盖覆盖的运营陆地成像器（OLI）图像。比较度量包括数据协方差矩阵特征，监督分类准确性和NDVI产品值。结果表明，当由这些比较度量评估时，模拟图像捕获图像的各种场景的关键特性。

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《IEEE International Geoscience and Remote Sensing Symposium》|2017年|714p|共4页
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Zhaoyu Cui; John Kerekes; John R. Schott;
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中图分类 TP7-53;
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Remote sensing; Atmospheric modeling; Earth; Artificial satellites; Data models; Sea measurements; Tools;

机译：遥感;大气建模;地球;人造卫星;数据模型;海测量;工具;

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2. Estimation of Land Surface Temperature from Landsat-8 OLI Thermal Infrared Satellite Data. A Comparative Analysis of Two Cities in Ghana [J] . 遥感技术进展（英文） . 2021,第004期
3. +-Evidence of Porphyry Deposits in the Ntem Complex: A Case Study from Structural and Hydrothermal Alteration Zones Mapping through Landsat-8 OLI, Aeromagnetic and Geological Data Integration in the Yaounde-Sangmelima Region (Southern Cameroon) [J] . Stephane Patrick Assembe, Theophile Ndougsa Mbarga, Françoise Enyegue A. Nyam, 遥感技术进展（英文） . 2020,第002期
4. Cloud Extraction Scheme for Multi-Spectral Images Using Landsat-8 OLI Images With High Brightness Reflectivity Covered [J] . Wu Tingting, Han Ling Quality Control, Transactions . 2020,第期

机译：利用具有高亮度反射率的Landsat-8 OLI图像的多光谱图像云提取方案
5. A note on the temporary misregistration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery [J] . Storey James, Roy David P., Masek Jeffrey, Remote Sensing of Environment: An Interdisciplinary Journal . 2016,第Null期

机译：关于Landsat-8作战陆地成像仪（OLI）和Sentinel-2多光谱仪（MSI）成像暂时失准的说明
6. An Automated Approach for Sub-Pixel Registration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) Imagery [J] . Lin Yan, David P. Roy, Hankui Zhang, Remote Sensing . 2016,第6期

机译：一种自动方法，用于Landsat-8操作性陆地成像仪（OLI）和Sentinel-2多光谱仪（MSI）图像的子像素配准
7. Validation of landsat-8 OLI image simulation [C] . Zhaoyu Cui, John Kerekes, John R. Schott International Geoscience and Remote Sensing Symposium . 2017

机译：landsat-8 OLI图像仿真的验证
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机译：利用具有高亮度反射率的Landsat-8 OLI图像的多光谱图像云提取方案

Validation of landsat-8 OLI image simulation

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