Hyperspectral remote sensing image classification based on tighter random projection with minimal intra-class variance algorithm

Hyperspectral Image Classification via Compressive Sensing

(2019) Charles J. Della Porta et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Hyperspectral image reconstruction by deep convolutional neural network for classification

(2017) Yunsong Li et al.   PATTERN RECOGNITION

Active Learning With Gaussian Process Classifier for Hyperspectral Image Classification

(2015) Shujin Sun et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Segmented minimum noise fraction transformation for efficient feature extraction of hyperspectral images

(2015) Guan Lixin et al.   PATTERN RECOGNITION

Use of Sub-Aperture Decomposition for Supervised PolSAR Classification in Urban Area

(2015) Lei Deng et al.   Remote Sensing

Exploring the diversity in cluster ensemble generation: Random sampling and random projection

(2014) Fan Yang et al.   EXPERT SYSTEMS WITH APPLICATIONS

(Semi-) Supervised Probabilistic Principal Component Analysis for Hyperspectral Remote Sensing Image Classification

(2013) Junshi Xia et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Robust level set image segmentation via a local correntropy-based K-means clustering

(2013) Lingfeng Wang et al.   PATTERN RECOGNITION

Dimensionality reduction via compressive sensing

(2012) Junbin Gao et al.   PATTERN RECOGNITION LETTERS

Face recognition with lattice independent component analysis and extreme learning machines

(2012) Ion Marques et al.   SOFT COMPUTING

Anomaly Detection and Reconstruction From Random Projections

(2011) J. E. Fowler et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Sorted random projections for robust rotation-invariant texture classification

(2011) Li Liu et al.   PATTERN RECOGNITION

Segmentation and classification of hyperspectral images using watershed transformation

(2010) Y. Tarabalka et al.   PATTERN RECOGNITION

Color image segmentation using pixel wise support vector machine classification

(2010) Xiang-Yang Wang et al.   PATTERN RECOGNITION

Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds

(2010) Elnaz Barshan et al.   PATTERN RECOGNITION

Color image segmentation using histogram thresholding – Fuzzy C-means hybrid approach

(2010) Khang Siang Tan et al.   PATTERN RECOGNITION

Feature Fusion Using Locally Linear Embedding for Classification

(2009) Bing-Yu Sun et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A general procedure for learning mixtures of independent component analyzers

(2009) Addisson Salazar et al.   PATTERN RECOGNITION

Fuzzy ensemble clustering based on random projections for DNA microarray data analysis

(2008) Roberto Avogadri et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE