A projection pursuit algorithm for anomaly detection in hyperspectral imagery

DOI10.1016/J.PATCOG.2008.04.014zbMath1154.68325OpenAlexW2064141868MaRDI QIDQ941572

José A. Malpica, Juan G. Rejas, María C. Alonso

Publication date: 1 September 2008

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.04.014

zbMATH Keywords

simulated annealingprojection pursuithyperspectral imagerysimplex optimization

Mathematics Subject Classification ID

Network design and communication in computer systems (68M10) Pattern recognition, speech recognition (68T10)

Related Items (3)

Genetic algorithms and particle swarm optimization for exploratory projection pursuit ⋮ Detecting Multivariate Outliers Using Projection Pursuit with Particle Swarm Optimization ⋮ REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit

Uses Software

• fminsearch

Cites Work

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• Optimization by Simulated Annealing
• Projection pursuit exploratory data analysis
• Projection pursuit
• Smooth tests of goodness of fit for regular distributions
• What is Projection Pursuit?
• Exploratory Projection Pursuit
• Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
• Hyperspectral imagery: clutter adaptation in anomaly detection
• A Projection Pursuit Algorithm for Exploratory Data Analysis
• Equation of State Calculations by Fast Computing Machines
• A Simplex Method for Function Minimization

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