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

During the last few decades, the remarkable progress in the field of satellite remote sensing (RS) technology has enabled us to capture coarse, moderate to high-resolution earth imagery on weekly, daily, and even hourly intervals [...]

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Bibliographic Details
Published inRemote sensing (Basel, Switzerland) Vol. 14; no. 8; p. 1906
Main Authors Das, Monidipa, Ghosh, Soumya K., Chowdary, Vemuri M., Mitra, Pabitra, Rijal, Santosh
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.04.2022
Subjects
Artificial intelligence
Artificial neural networks
Classification
Computer applications
Data analysis
Data mining
Distance learning
Distillation
Image classification
Image processing
Image segmentation
Intelligence
Learning algorithms
Machine learning
Mathematical models
Missing data
n/a
Neural networks
Oil spills
Pollutants
Principal components analysis
Remote sensing
Satellites
Statistical analysis
Support vector machines
Time series
Unstructured data
Wind
Wind speed
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Summary:During the last few decades, the remarkable progress in the field of satellite remote sensing (RS) technology has enabled us to capture coarse, moderate to high-resolution earth imagery on weekly, daily, and even hourly intervals [...]
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14081906