Canopy Height Estimation from Single Multispectral 2D Airborne Imagery Using Texture Analysis and Machine Learning in Structurally Rich Temperate Forests.
Christos BoutsoukisIoannis ManakosMarco HeurichAnastasios DelopoulosPublished in: Remote. Sens. (2019)
Keyphrases
- multispectral
- texture analysis
- image analysis
- remotely sensed
- hyperspectral
- machine learning
- hyperspectral data
- land cover
- image data
- remote sensing
- remote sensing data
- texture classification
- remote sensing images
- satellite images
- multispectral images
- satellite imagery
- multiresolution
- pattern recognition
- computer vision
- texture images
- texture discrimination
- rotation invariant
- multi band
- spatial resolution
- hyperspectral imagery
- gray level
- co occurrence
- texture segmentation
- multispectral satellite images
- texture features
- gabor filters
- hyperspectral images
- local binary pattern
- neural network
- high resolution
- spectral characteristics
- data mining
- image segmentation
- infrared
- change detection
- gabor filtering
- texture characterization
- target detection
- spatial information
- multispectral imaging
- brodatz textures
- supervised classification