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A DIVERSIFIED DEEP BELIEF NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Diversity Deep Belief Network (DBN) Hyperspectral Image Classification
2016/11/23
In recent years, researches in remote sensing demonstrated that deep architectures with multiple layers can potentially extract abstract and invariant features for better hyperspectral image classific...
EVALUATING THE INITIALIZATION METHODS OF WAVELET NETWORKS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Hyperspectral Classification Wavelet Neural Networks Wavelet Networks Initialization
2016/11/23
The idea of using artificial neural network has been proven useful for hyperspectral image classification. However, the high dimensionality of hyperspectral images usually leads to the failure of cons...
Texture Based Hyperspectral Image Classification
Hyperspectral Spectral Texture Geometric Moments Classification Support Vector Machine
2014/12/15
This research work presents a supervised classification framework for hyperspectral data that takes into account both spectral and spatial information. Texture analysis is performed to model spatial c...
COMPARISOM OF WAVELET-BASED AND HHT-BASED FEATURE EXTRACTION METHODS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Hyperspectral Image Feature Extraction Classification Wavelet Transform Hilbert-Huang Transform
2014/4/29
Hyperspectral images, which contain rich and fine spectral information, can be used to identify surface objects and improve land use/cover classification accuracy. Due to the property of high dimensio...