Fusion of Dense Airborne LiDAR and Multispectral Sentinel-2 and Pleiades Satellite Imagery for Mapping Riparian Forest Species Biodiversity at Tree Level.
Houssem NjimiNesrine ChehataFrédéric ReversPublished in: Sensors (2024)
Keyphrases
- multispectral
- satellite imagery
- remote sensing
- remotely sensed
- hyperspectral
- satellite images
- image fusion
- multi spectral images
- land cover
- remote sensing images
- high resolution
- change detection
- lidar data
- urban areas
- hyperspectral imagery
- multispectral images
- high spatial resolution
- digital elevation models
- hyperspectral data
- sea ice
- multi band
- remotely sensed images
- remote sensing data
- image processing
- hyperspectral images
- remotely sensed data
- phylogenetic trees
- spatial resolution
- spectral images
- multi sensor
- spectral bands
- image analysis
- infrared
- multispectral satellite images
- image data
- data fusion
- information fusion
- multispectral imaging
- land cover classification
- visible spectrum
- target detection
- feature extraction
- unsupervised learning
- index structure
- point cloud
- image segmentation
- bird species
- spectral characteristics
- neural network
- fusion method