Reprint
Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements
Edited by
July 2022
112 pages
- ISBN978-3-0365-4592-9 (Hardback)
- ISBN978-3-0365-4591-2 (PDF)
This book is a reprint of the Special Issue Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements that was published in
Engineering
Environmental & Earth Sciences
Summary
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.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
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