On The Extraction of Training Imagery from Very Large Remote Sensing Datasets for Deep Convolutional Segmenatation Networks.
Bohao HuangDaniel ReichmanLeslie M. CollinsKyle BradburyJordan M. MalofPublished in: IGARSS (2018)
Keyphrases
- remote sensing
- satellite imagery
- remote sensing data
- high resolution
- restricted boltzmann machine
- deep learning
- change detection
- deep belief networks
- image processing
- multispectral
- remote sensing images
- remotely sensed
- image fusion
- landsat tm
- hyperspectral
- satellite images
- image analysis
- remote sensing imagery
- remotely sensed imagery
- satellite data
- land cover
- digital image analysis
- hyperspectral data
- remotely sensed images
- weather prediction
- land cover classification
- earth observation
- hyperspectral imagery
- high spatial resolution
- hyperspectral remote sensing
- multi spectral images
- remote sensed images
- geographical information systems
- remotely sensed data
- automatic image registration
- high quality
- climate change
- earth science
- hyperspectral imaging
- unsupervised learning
- multiresolution
- training set
- feature extraction