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

• Άλλοι συγγραφείς: Das, Monidipa (Επιμελητής έκδοσης), Ghosh, Soumya K. (Επιμελητής έκδοσης), Chowdary, V. M. (Επιμελητής έκδοσης), Mitra, Pabitra (Επιμελητής έκδοσης), Rijal, Santosh (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Κεφάλαιο βιβλίου
• Γλώσσα: Αγγλικά
• Έκδοση: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Θέματα: 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
• Διαθέσιμο 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...