Crop mapping by supervised classification of high resolution optical image time series using prior knowledge about crop rotation and topography.
Julien OsmanJordi IngladaJean-Francois DejouxOlivier HagolleGérard DedieuPublished in: IGARSS (2013)
Keyphrases
- supervised classification
- high resolution
- prior knowledge
- low resolution
- imaging sensors
- image data
- image capture
- image analysis
- remotely sensed images
- prior information
- supervised learning
- multiscale
- image segmentation
- higher resolution
- geometric distortions
- satellite images
- high resolution images
- high frequency
- log polar
- input image
- image features
- low resolution images
- lower resolution
- image processing
- invariant features
- unsupervised clustering
- remote sensing
- land cover
- high quality
- optical properties
- field of view
- bayesian framework
- feature points
- super resolution
- pattern recognition
- unsupervised classification
- bayesian networks
- synthetic aperture
- data mining