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A DIMENSIONALITY REDUCTION ALGORITHM OF HYPER SPECTRAL IMAGE BASED ON FRACT ANALYSIS
Hyper spectral dimensionality reduction spectral domain fractal analysis feature image
2015/12/30
A dimensionality reduction algorithm based on feature extraction of the spectral curve using fractal analysis which considering both the spatial characteristic and spectral characteristic of hyper spe...
A Unified Framework for Dimensionality Reduction and Classification of Hyperspectral Data
Unified Framework SVMDRC Dimensionality Reduction Intrinsic Dimensionality
2014/12/15
The processing of hyperspectral remote sensing data, for information retrieval, is challenging due to its higher dimensionality. Machine learning based algorithms such as Support Vector Machine (SVM) ...
DIMENSIONALITY REDUCTION OF HYPERSPECTRAL IMAGES BY COMBINATION OF NON-PARAMETRIC WEIGHTED FEATURE EXTRACTION (NWFE) AND MODIFIED NEIGHBORHOOD PRESERVING EMBEDDING (NPE)
Hyperspectral Imagery Feature Extraction LDA NPE Classification
2014/12/1
This paper combine two conventional feature extraction methods (NWFE&NPE) in a novel framework and present a new semi-supervised feature extraction method called Adjusted Semi supervised Discriminant ...
Maximal Linear Embedding for Dimensionality Reduction
Dimensionality reduction manifold learning maximal linear patch landmarks-based global alignment.
2013/7/24
Over the past few decades, dimensionality reduction has been widely exploited in computer vision and pattern analysis.This paper proposes a simple but effective nonlinear dimensionality reduction algo...