End-to-End CNN-CRFs for Multi-date Crop Classification Using Multitemporal Remote Sensing Image Sequences.
Laura Elena Cue La RosaDário Augusto Borges OliveiraRaul Queiroz FeitosaPublished in: CIKM Workshops (2021)
Keyphrases
- remote sensing
- end to end
- change detection
- remote sensing images
- multispectral
- remotely sensed
- multi spectral images
- image sequences
- remotely sensed images
- hyperspectral images
- remote sensing imagery
- hyperspectral data
- hyperspectral
- image analysis
- satellite images
- high resolution
- image processing
- image fusion
- land cover classification
- land cover
- remote sensing data
- satellite data
- satellite imagery
- remotely sensed data
- congestion control
- text localization and recognition
- image classification
- digital image analysis
- pattern recognition
- high spatial resolution
- hyperspectral imagery
- supervised classification
- motion estimation
- automatic image registration
- video sequences
- feature extraction
- earth observation
- machine learning
- data streams
- image data
- video data