Estimation and bias correction of aerosol abundance using data-driven machine learning and remote sensing.
Nabin K. MalakarDavid J. LaryA. MooreD. GencagaBryan RoscoeArif AlbayrakJennifer WeiPublished in: CIDU (2012)
Keyphrases
- remote sensing
- data driven
- bias correction
- machine learning
- change detection
- remote sensing imagery
- multispectral
- remote sensing images
- image analysis
- remote sensing data
- image processing
- image fusion
- high resolution
- hyperspectral
- satellite images
- remote sensed images
- automatic image registration
- digital image analysis
- satellite data
- land cover
- high spatial resolution
- support vector machine
- pattern recognition
- earth observation
- sample selection
- intensity inhomogeneity
- image classification
- hyperspectral remote sensing
- learning algorithm
- medical imaging
- high quality
- data mining
- image data
- multi spectral images
- hyperspectral imagery
- spatial resolution
- hyperspectral images
- active learning