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

• Altri autori: Das, Monidipa (Redattore), Ghosh, Soumya K. (Redattore), Chowdary, V. M. (Redattore), Mitra, Pabitra (Redattore), Rijal, Santosh (Redattore)
• Natura: Elettronico Capitolo di libro
• Lingua: inglese
• Pubblicazione: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Soggetti: 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
• Accesso online: DOAB: download the publication; DOAB: description of the publication

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 o...