feature extraction

Convolutional Neural Network Pruning to Accelerate Membrane Segmentation in Electron Microscopy

Biological membranes are one of the most basic structures and regions of interest in cell biology. In the study of membranes, segment extraction is a well-known and difficult problem because of impeding noise, directional and thickness variability, …

Optimized Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification

Taking Optimal Advantage of Fine Spatial Information: Promoting partial image reconstruction for the morphological analysis of very-high-resolution images

Morphological Attribute Profiles With Partial Reconstruction

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 …