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This book is a reprint of the Special Issue entitled "Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements" that was published in Remote Sensing, MDPI. It provides insights into both core technical challenges and some selected critical applications of satellite remote sensing image analytics.
scene classification --- teacher-student --- noisy labels --- knowledge distillation --- remote sensing images --- LightGBM --- spatiotemporal weight interpolation --- AOD recovery --- East Asia --- polarized SAR --- optical image --- random forest --- conditional random fields --- feature-level fusion --- Dirichlet process --- infinite mixture models --- Gamma distribution --- variational inference --- online setting --- oil spill detection --- synthetic aperture radar images --- GNSS-R --- CYGNSS --- high wind speed inversion --- SVR --- PCA-SVR --- CNN --- n/a
Choose an application
This book is a reprint of the Special Issue entitled "Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements" that was published in Remote Sensing, MDPI. It provides insights into both core technical challenges and some selected critical applications of satellite remote sensing image analytics.
Research & information: general --- Environmental economics --- scene classification --- teacher-student --- noisy labels --- knowledge distillation --- remote sensing images --- LightGBM --- spatiotemporal weight interpolation --- AOD recovery --- East Asia --- polarized SAR --- optical image --- random forest --- conditional random fields --- feature-level fusion --- Dirichlet process --- infinite mixture models --- Gamma distribution --- variational inference --- online setting --- oil spill detection --- synthetic aperture radar images --- GNSS-R --- CYGNSS --- high wind speed inversion --- SVR --- PCA-SVR --- CNN --- n/a
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