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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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Bibliographic Details
Main Author: Das, Monidipa
Other Authors: Ghosh, Soumya K., Chowdary, V. M., Mitra, Pabitra
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Infinite Mixture Models
Lightgbm
Gnss-r
Optical Image
Random Forest
Synthetic Aperture Radar Images
Oil Spill Detection
East Asia
N/a
Noisy Labels
Scene Classification
Cygnss
Variational Inference
Teacher-student
Aod Recovery
Spatiotemporal Weight Interpolation
Online Setting
Svr
Remote Sensing Images
Polarized Sar
Dirichlet Process
Knowledge Distillation
Gamma Distribution
Feature-level Fusion
Cnn
Environmental Economics / Bicssc
High Wind Speed Inversion
Conditional Random Fields
Research And Information: General / Bicssc
Pca-svr
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (112 p.)
ISBN:books978-3-0365-4591-2
9783036545929
9783036545912

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