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

• Diğer Yazarlar: Das, Monidipa (Editör), Ghosh, Soumya K. (Editör), Chowdary, V. M. (Editör), Mitra, Pabitra (Editör), Rijal, Santosh (Editör)
• Materyal Türü: Elektronik Kitap Bölümü
• Dil: İngilizce
• Baskı/Yayın Bilgisi: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Konular: 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
• Online Erişim: DOAB: download the publication; DOAB: description of the publication

Özet

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.

Fiziksel Özellikler

1 electronic resource (112 p.)

ISBN

books978-3-0365-4591-2
9783036545929
9783036545912

Erişim

Open Access