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

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...

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Bibliografski detalji
Daljnji autori: Das, Monidipa (Urednik), Ghosh, Soumya K. (Urednik), Chowdary, V. M. (Urednik), Mitra, Pabitra (Urednik), Rijal, Santosh (Urednik)
Format: Elektronički Poglavlje knjige
Jezik:engleski
Izdano: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Teme:
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
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Opis
Sažetak: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.
Opis fizičkog objekta:1 electronic resource (112 p.)
ISBN:books978-3-0365-4591-2
9783036545929
9783036545912
Pristup:Open Access

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