A multiscale geographic object-based image analysis to estimate lidar-measured forest canopy height using Quickbird imagery.
Gang ChenGeoffrey J. HayGuillermo CastillaBenoît St-OngeRyan PowersPublished in: Int. J. Geogr. Inf. Sci. (2011)
Keyphrases
- multiscale
- image analysis
- satellite imagery
- remote sensing
- image processing
- scale space
- high resolution
- computer vision
- image segmentation
- lidar data
- remote sensing images
- aerial imagery
- urban areas
- digital elevation models
- multispectral
- change detection
- satellite images
- pattern recognition
- high quality
- multispectral images
- mathematical morphology
- image fusion
- point cloud
- image enhancement
- texture classification
- coarse to fine
- visual inspection
- neural network
- wavelet transform
- affine invariant
- texture analysis
- flow velocity