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

• مؤلفون آخرون: Das, Monidipa (المحرر), Ghosh, Soumya K. (المحرر), Chowdary, V. M. (المحرر), Mitra, Pabitra (المحرر), Rijal, Santosh (المحرر)
• التنسيق: الكتروني فصل الكتاب
• اللغة: الإنجليزية
• منشور في: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• الموضوعات: 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
• الوصول للمادة أونلاين: 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...