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An efficient unsupervised index based approach for mapping urban vegetation from IKONOS imagery.
Julius Y. Anchang
Erick O. Ananga
Ruiliang Pu
Published in:
Int. J. Appl. Earth Obs. Geoinformation (2016)
Keyphrases
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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