Land Cover Classification with Multispectral LiDAR Based on Multi-Scale Spatial and Spectral Feature Selection.
Shuo ShiSifu BiWei GongBiwu ChenBowen ChenXingtao TangFangfang QuShalei SongPublished in: Remote. Sens. (2021)
Keyphrases
- land cover classification
- multispectral
- spectral characteristics
- multiscale
- feature selection
- remote sensing data
- multispectral images
- hyperspectral
- spectral images
- remote sensing
- remote sensing images
- spectral bands
- image data
- spatial resolution
- multi band
- satellite images
- hyperspectral imagery
- high spatial resolution
- land cover
- spatial frequency
- image analysis
- spectral resolution
- hyperspectral images
- high resolution
- remote sensing imagery
- multispectral imaging
- hyperspectral data
- image segmentation
- feature space
- machine learning
- feature extraction
- edge detection
- urban areas
- image fusion
- spatial information
- wavelet decomposition
- wavelet domain
- high quality
- satellite data
- active learning
- geographic information systems
- neural network
- spatial data
- image processing
- mutual information
- wavelet transform