Classification

Morphological Attribute Profiles With Partial Reconstruction

Context-aware patch-based image inpainting using Markov random field modeling

In this paper, we first introduce a general approach for context-aware patch-based image inpainting, where textural descriptors are used to guide and accelerate the search for well-matching (candidate) patches. A novel top-down splitting procedure …

Dictionary learning techniques for painter style identification: case study on the Ghent altarpiece

GPU-based parallel kernel PCA feature extraction for hyperspectral images

The KPCA algorithm is widely used for feature extraction of hyperspectral images. One of the disadvantages of KPCA is that its sequential implementations have long run time due to their relatively large computational complexity. In this paper, a GPU …

Discriminative supervised neighborhood preserving embedding feature extraction for hyperspectral-image classification

A novel discriminative supervised neighborhood preserving embedding (DSNPE) method is proposed for feature extraction in classifying hyperspectral remote sensing imagery. DSNPE can preserve the local manifold structure and the neighborhood structure. …

Feature extraction and classification for hyperspectral remote sensing images

Recent advances in sensor technology have led to an increased availability of hyperspectral remote sensing data at very high both spectral and spatial resolutions. Many techniques are developed to explore the spectral information and the spatial …

Research on supervised LPP feature extraction for hyperspectral image

For the classification among different land-cover types in a hyperspectral image, particularly in the small-sample-size problem, a feature extraction method is an approach for reducing the dimensionality and increasing the classification accuracy. A …

Spatiogram features to characterize pearls in paintings