UAS-SfM for Coastal Research: Geomorphic Feature Extraction and Land Cover Classification from High-Resolution Elevation and Optical Imagery.
Emily J. SturdivantErika E. LentzE. Robert ThielerAmy S. FarrisKathryn M. WeberDavid P. RemsenSimon MinerRachel E. HendersonPublished in: Remote. Sens. (2017)
Keyphrases
- high resolution
- land cover classification
- high spatial resolution
- feature extraction
- remote sensing
- imaging sensors
- multispectral
- remote sensing data
- low resolution
- image processing
- digital elevation models
- satellite images
- structure from motion
- spatial resolution
- remote sensing imagery
- land cover
- satellite imagery
- supervised classification
- super resolution
- hyperspectral
- high frequency
- change detection
- satellite data
- remote sensing images
- missing data
- field of view
- image fusion
- feature vectors
- face recognition
- high quality
- principal component analysis
- elevation data
- aerial images
- wavelet transform
- geographic information systems
- dimensionality reduction
- image data
- multiscale
- camera motion
- feature space
- multispectral images
- hyperspectral imagery
- hyperspectral data
- lidar data
- infrared
- image analysis
- computer vision