Crop Classification Using a Combination of Spectral Indices from Spatiotemporal Multispectral Imagery and Machine Learning.
Adenan Yandra NofrizalRei SonobePublished in: IGARSS (2022)
Keyphrases
- multispectral
- hyperspectral data
- machine learning
- multi spectral images
- hyperspectral
- multispectral images
- hyperspectral images
- hyperspectral imagery
- spectral images
- image data
- remote sensing
- remotely sensed
- land cover classification
- remote sensing data
- spectral bands
- remote sensing images
- spectral characteristics
- multi band
- satellite images
- spatial resolution
- spectral features
- pattern recognition
- image analysis
- high spatial resolution
- multispectral imaging
- land cover
- spectral resolution
- satellite imagery
- digital elevation models
- data mining
- remotely sensed data
- supervised classification
- feature selection
- computer vision
- random projections
- supervised learning
- image classification
- high resolution
- thematic mapper
- multispectral satellite images
- unsupervised learning
- neural network
- infrared
- visible spectrum
- feature vectors