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Functions of Multiple Instances for Learning Target Signatures

Published: Aug 11th, 2015

Abstract: The functions of multiple instances (FUMI) approach for learning target and nontarget signatures is introduced. FUMI is a generalization of the multiple-instance learning (MIL) approach for supervised learning. FUMI […]

Functions of multiple instances for sub-pixel target characterization in hyperspectral imagery

Published: May 11th, 2015

Abstract: In this paper, the Multi-target Extended Function of Multiple Instances (Multi-target eFUMI) method is developed and described. The method is capable of learning multiple target spectral signatures from weakly- […]

Endmember representation of human geography layers

Published: Dec 11th, 2014

Abstract: This paper presents an endmember estimation and representation approach for human geography data cubes. Human-related factors that can be mapped for a geographic region include factors relating to population, […]

Sparsity promoted non-negative matrix factorization for source separation and detection

Published: Aug 11th, 2014

Abstract: The effectiveness of non-negative matrix factorization (NMF) depends on a suitable choice of the number of bases, which is often difficult to decide in practice. This paper imposes sparseness […]

Hyperspectral unmixing and band weighting for multiple endmember sets

Published: May 11th, 2014

Abstract: Imaging spectrometers measure the response from materials across the electromagnetic spectrum. Often, in remote sensing applications, the imaging spectrometers have low spectral resolution resulting in most measurements being mixed […]

A sparsity promoting bilinear unmixing model

Published: Jun 11th, 2012

Abstract: An algorithm, Bilinear SPICE (BISPICE), for simultaneously estimating the number of endmembers, the endmembers, and proportions for a bilinear mixing model is derived and evaluated. BISPICE generalizes the SPICE […]

Robust endmember detection using L1 norm factorization

Published: Jul 10th, 2010

Abstract: The results from L1-Endmembers display the algorithm’s stability and accuracy with increasing levels of noise. The algorithm was extremely stable in the number of endmembers when compared to the […]

L1-endmembers: a robust endmember detection and spectral unmixing algorithm

Published: May 10th, 2010

Abstract: A hyperspectral endmember detection and spectral unmixing algorithm based on an l1 norm factorization of the input hyperspectral data is developed and compared to a method based on l2 […]

Hyperspectral endmember detection and band selection using bayesian methods

Published: Dec 10th, 2008

Abstract: Four methods of endmember detection and spectral unmixing are described. The methods determine endmembers and perform spectral unmixing while simultaneously determining the number of endmembers, representing endmembers as distributions, […]

Hyperspectral band selection and endmember detection using sparsity promoting priors

Published: Apr 2nd, 2008

Abstract: This letter presents a simultaneous band selection and endmember detection algorithm for hyperspectral imagery. This algorithm is an extension of the sparsity promoting iterated constrained endmember (SPICE) algorithm. The […]