Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Environmental economics; Research and information: general; AOD recovery; CNN; conditional random fields; CYGNSS; Dirichlet process; East Asia; feature-level fusion; Gamma distribution; GNSS-R; high wind speed inversion; infinite mixture models; knowledge distillation; LightGBM; n/a; noisy labels; oil spill detection; online setting; optical image; PCA-SVR; polarized SAR; random forest; remote sensing images; scene classification; spatiotemporal weight interpolation; SVR; synthetic aperture radar images; teacher-student; variational inference
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (112 p.)
• ISBN: 9783036545912; 9783036545929; books978-3-0365-4591-2
• Access: Open Access

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.