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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Year of Publication: | 2022 |
Language: | English |
Physical Description: | 1 electronic resource (112 p.) |
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653 | |a remote sensing images | ||
653 | |a LightGBM | ||
653 | |a spatiotemporal weight interpolation | ||
653 | |a AOD recovery | ||
653 | |a East Asia | ||
653 | |a polarized SAR | ||
653 | |a optical image | ||
653 | |a random forest | ||
653 | |a conditional random fields | ||
653 | |a feature-level fusion | ||
653 | |a Dirichlet process | ||
653 | |a infinite mixture models | ||
653 | |a Gamma distribution | ||
653 | |a variational inference | ||
653 | |a online setting | ||
653 | |a oil spill detection | ||
653 | |a synthetic aperture radar images | ||
653 | |a GNSS-R | ||
653 | |a CYGNSS | ||
653 | |a high wind speed inversion | ||
653 | |a SVR | ||
653 | |a PCA-SVR | ||
653 | |a CNN | ||
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