Identification of the White-Mold affected Soybean fields by using Multispectral Imageries, Spatial Autocorrelation and Support Vector Machine.
Sae-Han SuhDongyoun KimJi-Eun JhangEmmanuel ByamukamaGary HatfieldSung Y. ShinPublished in: RACS (2017)
Keyphrases
- multispectral
- spatial autocorrelation
- support vector machine
- multispectral images
- remote sensing images
- remote sensing
- image data
- image analysis
- multi band
- spatial resolution
- hyperspectral
- correlation analysis
- spatial distribution
- satellite images
- multispectral satellite images
- feature vectors
- multispectral imaging
- feature space
- high spatial resolution
- training set
- training data
- spectral characteristics
- feature selection
- image reconstruction
- hyperspectral images
- support vector
- neural network