Fusion of Multispectral Aerial Imagery and Vegetation Indices for Machine Learning-Based Ground Classification.
Yanchao ZhangWen YangYing SunChristine ChangJiya YuWenbo ZhangPublished in: Remote. Sens. (2021)
Keyphrases
- multispectral
- remote sensing
- multi spectral images
- machine learning
- remotely sensed
- aerial imagery
- land cover
- remote sensing images
- satellite images
- normalized difference vegetation index
- remote sensing data
- land cover classification
- image fusion
- hyperspectral
- hyperspectral images
- pattern recognition
- hyperspectral data
- multispectral images
- image data
- remotely sensed data
- supervised classification
- multi band
- hyperspectral imagery
- spatial resolution
- image analysis
- feature vectors
- feature selection
- satellite data
- spectral images
- infrared
- aerial images
- change detection
- supervised learning
- high resolution
- automatic target recognition
- computer vision
- data fusion
- urban areas
- lidar data
- digital elevation models
- image processing
- multi sensor
- high quality
- image classification
- feature extraction