Spatial-Spectral Fusion Based on Conditional Random Fields for the Fine Classification of Crops in UAV-Borne Hyperspectral Remote Sensing Imagery.
Lifei WeiMing YuYanfei ZhongJi ZhaoYajing LiangXin HuPublished in: Remote. Sens. (2019)
Keyphrases
- hyperspectral
- remote sensing imagery
- conditional random fields
- hyperspectral data
- hyperspectral images
- remote sensing
- pixel classification
- remote sensing data
- land cover classification
- hyperspectral imagery
- spectral signatures
- multispectral
- infrared
- image data
- target detection
- spectral bands
- hyperspectral remote sensing
- graphical models
- information extraction
- hidden markov models
- probabilistic model
- change detection
- spatial resolution
- information content
- satellite images
- generative model
- remote sensing images
- image analysis
- pattern recognition
- markov random field
- spatial data
- feature vectors
- high resolution
- spectral resolution
- image processing
- higher order
- spatial information
- machine learning
- fusion method
- data fusion
- unsupervised learning
- support vector machine
- feature space