An efficient unsupervised index based approach for mapping urban vegetation from IKONOS imagery.
Julius Y. AnchangErick O. AnangaRuiliang PuPublished in: Int. J. Appl. Earth Obs. Geoinformation (2016)
Keyphrases
- satellite imagery
- urban areas
- remote sensing
- satellite images
- land cover
- remotely sensed
- multispectral
- landsat tm
- change detection
- remote sensing data
- urban growth
- aerial images
- urban planning
- supervised classification
- high resolution
- climate change
- remote sensing images
- digital elevation models
- remotely sensed data
- land use change
- geographic information systems
- image processing
- traffic congestion
- data driven
- travel time
- spatial resolution
- man made
- ontology mapping
- image data
- high quality
- indexing techniques
- hyperspectral
- computationally efficient
- unsupervised learning
- data structure
- machine learning