Contribution of nDSM derived from VHR stereo imagery to urban land-cover mapping in Sub-Saharan Africa.
Sabine VanhuysseTaïs GrippaMoritz LennertEléonore WolffMahamadou IdrissaPublished in: JURSE (2017)
Keyphrases
- land cover
- change detection
- remote sensing
- satellite imagery
- remote sensing images
- urban growth
- remote sensing data
- urban areas
- aerial images
- remotely sensed
- climate change
- landsat tm
- multispectral
- remotely sensed data
- high resolution
- satellite images
- remotely sensed images
- computer vision
- land cover classification
- hyperspectral
- image processing
- image data
- hyperspectral images
- image analysis
- urban planning
- digital elevation models
- data streams
- image registration
- database
- hyperspectral data
- man made
- image pairs
- video sequences
- learning algorithm
- machine learning
- supervised classification