Spatial Variation Sequences for Remote Sensing Applications with Small Sample Sizes.
Hayden JeuneNiklas PechanSharn-Konet ReitsmaAndreas W. Kempa-LiehrPublished in: PSIVT (2023)
Keyphrases
- remote sensing
- sample size
- remote sensing data
- change detection
- small sample
- multispectral
- spatial analysis
- remote sensing imagery
- image analysis
- remote sensing images
- random sample
- high resolution
- remotely sensed data
- image fusion
- satellite images
- model selection
- geographical information systems
- hyperspectral
- random sampling
- satellite imagery
- high spatial resolution
- satellite data
- land cover
- image processing
- automatic image registration
- multi spectral images
- remotely sensed images
- remotely sensed
- confidence intervals
- digital image analysis
- earth observation
- hyperspectral imaging
- spatial data
- hyperspectral imagery
- worst case
- upper bound
- remote sensed images
- hyperspectral images
- high quality
- multiresolution
- spatial information
- hyperspectral remote sensing
- spatial resolution
- earth science
- computer vision
- spectral resolution
- land cover classification
- spatial databases