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 of satellit...

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Bibliografiske detaljer
Format:	Online
Sprog:	engelsk
Udgivet:	MDPI - Multidisciplinary Digital Publishing Institute 2022
Fag:	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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
Online adgang:	ONIX_20220812_9783036545929_9
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Summary:	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.

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

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