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

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...

Full description

Saved in:
Bibliographic Details
Other Authors: Das, Monidipa (Editor), Ghosh, Soumya K. (Editor), Chowdary, V. M. (Editor), Mitra, Pabitra (Editor), Rijal, Santosh (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Research & information: general
Environmental economics
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
Online Access:DOAB: download the publication
DOAB: description of the publication
Tags: Add Tag
No Tags, Be the first to tag this record!
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.
Physical Description:1 electronic resource (112 p.)
ISBN:books978-3-0365-4591-2
9783036545929
9783036545912
Access:Open Access

Similar Items