Sentinel-2 Image Scene ClassificationMahalanobis DistancePattern RecognitionClassification Prediction ErrorOver the years, due to the enrichment of paired-label datasets, supervised machine learning has become a prime component of any problem-solving. Examples include building classifiers for applications such ...
B12 SWIR 2 20 meters 2202.4nm (S2A) / 2185.7nm (S2B) 0.0001 AOT Aerosol Optical Thickness 10 meters 0.001 WVP Water Vapor Pressure. The height the water would occupy if the vapor were condensed into liquid and spread evenly across the column. 10 meters cm 0.001 SCL Scene Classification Map...
Select the scene classification GIPP --GIP_L2A_AC GIP_L2A_AC Select the atmospheric correction GIPP --GIP_L2A_PB GIP_L2A_PB Select the processing baseline GIPP ③添加环境变量。此电脑→右击→属性→高级系统设置→选择环境变量→Path→编辑、新建,把sen2cor所在路径(D:\Sen2Cor\Sen2Cor-02.10.01-wi...
Specific to the Level-2A processing, the Level-2 Algorithm Overview provides additional information about Scene Classification (SC) and Atmospheric Correction (S2A2). The Sentinel-2 MSI data quality reports (DQRs) provide regular updates about the geometric and radiometric performance of the data pro...
Vegetation classification red edge B09 – 60 m m 0.945 μm 0.026 μm Water vapor B11 swir16 20 m m 1.61 μm 0.143 μm Short-wave infrared, snow/ice/cloud classification B12 swir22 20 m m 2.19 μm 0.242 μm Short-wave infrared, snow/ice/cloud classification ...
Sen2Cor: Software that performs atmospheric, terrain, and cirrus correction to SEN2 Level-1C input data12. We store the Scene Classification (SC), which provides a semantic pixel-level classification map. The SC maps are obtained from the “COPERNICUS/S2_SR” GEE dataset. ...
Specific to the Level-2A processing, the Level-2 Algorithm Overview provides additional information about Scene Classification (SC) and Atmospheric Correction (S2A2). The Sentinel-2 MSI data quality reports (DQRs) provide regular updates about the geometric and radiometr...
Wu N, Lv J, Jin W (2024) S4Former: a spectral-spatial sparse selection transformer for multispectral remote sensing scene classification. IEEE Geosci Remote Sens Lett. https://doi.org/10.1109/LGRS.2024.3365509 Article Google Scholar Xu Y, Zhou J, Zhang Z (2024) A new Bayesian semi-superv...
The generation of accurate sample sets was crucial to the accuracy of classification results. In this paper, 2500 samples of size 256 × 256 were randomly extracted from each Sentinel-2 scene, and formed sample set. 60% of the samples in the sample set were used as training set for iterati...
SEN12MS is publicly available and contains triplets of cloud-free Sentinel-2 optical images, Sentinel-1 SAR images and MODIS land cover maps. It was developed for common remote sensing applications, such as scene classification or semantic segmentation for land cover mapping. Using the same ...