A Machine Learning approach to reconstruct cloudy affected vegetation indices imagery via data fusion from Sentinel-1 and Landsat 8.
Erli Pinto dos SantosDemetrius David da SilvaCibele Hummel do AmaralElpídio Inácio Fernandes FilhoRafael Luís Silva DiasPublished in: Comput. Electron. Agric. (2022)
Keyphrases
- data fusion
- satellite imagery
- remote sensing data
- remotely sensed
- remote sensing
- satellite images
- thematic mapper
- change detection
- land cover
- multispectral
- multi sensor
- urban areas
- remote sensing images
- remotely sensed images
- infrared
- information fusion
- high resolution
- remotely sensed data
- hyperspectral
- multi sensor data fusion
- multi source
- fusion algorithm
- hyperspectral images
- fusion method
- multiple sensors
- fusion methods
- image data
- image fusion
- source selection
- multispectral images
- geospatial data
- data streams
- three dimensional
- real time
- situation assessment
- supervised classification
- fusion process
- geographic information systems
- image registration
- image analysis
- computer vision