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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| Other Authors: | , , , , |
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 700 | 1 | |a Chowdary, V. M. |4 edt | |
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| 700 | 1 | |a Rijal, Santosh |4 edt | |
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| 700 | 1 | |a Ghosh, Soumya K. |4 oth | |
| 700 | 1 | |a Chowdary, V. M. |4 oth | |
| 700 | 1 | |a Mitra, Pabitra |4 oth | |
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| 245 | 1 | 0 | |a Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements |
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| 300 | |a 1 electronic resource (112 p.) | ||
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| 520 | |a 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. | ||
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| 650 | 7 | |a Research & information: general |2 bicssc | |
| 650 | 7 | |a Environmental economics |2 bicssc | |
| 653 | |a scene classification | ||
| 653 | |a teacher-student | ||
| 653 | |a noisy labels | ||
| 653 | |a knowledge distillation | ||
| 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 | ||
| 653 | |a n/a | ||
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