Pages that link to "Item:Q5052916"
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The following pages link to Hyperspectral imagery classification with minimum noise fraction, 2D spatial filtering and SVM (Q5052916):
Displaying 13 items.
- A kernel-based block matrix decomposition approach for the classification of remotely sensed images (Q529949) (← links)
- A maximum noise fraction transform with improved noise estimation for hyperspectral images (Q848316) (← links)
- Spectral derivative feature coding for hyperspectral signature analysis (Q1005645) (← links)
- Subspace learning via local probability distribution for hyperspectral image classification (Q1664759) (← links)
- Classification of hyperspectral images by tensor modeling and additive morphological decomposition (Q1760428) (← links)
- Automated multi-class classification of remotely sensed hyperspectral imagery via Gaussian processes with a non-stationary covariance function (Q1798704) (← links)
- Hyperspectral image classification based on mathematical morphology and tensor decomposition (Q1980889) (← links)
- Semi-supervised classification of hyperspectral images using discrete nonlocal variation Potts model (Q2063703) (← links)
- A two-stage method for spectral-spatial classification of hyperspectral images (Q2203358) (← links)
- Hyperspectral image analysis for oil spill detection: a comparative study (Q2224263) (← links)
- Spatial entropy based mutual information in hyperspectral band selection for supervised classification (Q2865335) (← links)
- Hyperspectral imagery classification based on active learning and label propagation (Q3385786) (← links)
- Hyperspectral image classification using wavelet transform-based smooth ordering (Q5204658) (← links)
