An Efficient Solution to Generate Meta-features for Classification with Remote Sensing Time Series.
Roberto U. PaivaSávio S. T. OliveiraLuiz Mario L. PascoalLeandro ParenteWellington S. MartinsPublished in: GeoInfo (2020)
Keyphrases
- machine learning
- remote sensing
- multispectral
- change detection
- pattern recognition
- remote sensing data
- remote sensing imagery
- remote sensing images
- satellite images
- hyperspectral
- high resolution
- feature vectors
- hyperspectral images
- image analysis
- feature extraction
- image processing
- feature selection
- automatic image registration
- land cover
- high spatial resolution
- landsat tm
- supervised learning
- feature space
- multi spectral images
- satellite imagery
- land cover classification
- image fusion
- image features
- hyperspectral remote sensing
- hyperspectral data
- unsupervised learning
- feature set
- remotely sensed
- computer vision
- remotely sensed data
- spatial resolution
- hyperspectral imagery
- remotely sensed images
- satellite data
- digital image analysis
- remotely sensed imagery
- remote sensed images
- spectral bands
- earth science
- image interpretation
- supervised classification