6533b872fe1ef96bd12d2cfe

RESEARCH PRODUCT

Machine learning in remote sensing data processing

Gustau Camps-valls

subject

Data processingContextual image classificationFire detectionbusiness.industryComputer scienceMultispectral imageMachine learningcomputer.software_genreField (computer science)Support vector machineRemote sensing (archaeology)Radar imagingArtificial intelligencebusinesscomputerRemote sensing

description

Remote sensing data processing deals with real-life applications with great societal values. For instance urban monitoring, fire detection or flood prediction from remotely sensed multispectral or radar images have a great impact on economical and environmental issues. To treat efficiently the acquired data and provide accurate products, remote sensing has evolved into a multidisciplinary field, where machine learning and signal processing algorithms play an important role nowadays. This paper serves as a survey of methods and applications, and reviews the latest methodological advances in machine learning for remote sensing data analysis.

yearjournalcountryeditionlanguage
2009-09-012009 IEEE International Workshop on Machine Learning for Signal Processing
https://doi.org/10.1109/mlsp.2009.5306233