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...

תיאור מלא

שמור ב:

מידע ביבליוגרפי
פורמט:	Online
שפה:	אנגלית
יצא לאור:	MDPI - Multidisciplinary Digital Publishing Institute 2022
נושאים:	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
גישה מקוונת:	ONIX_20220812_9783036545929_9
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!

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

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

פריטים דומים