Articles Tagged endmember variability Subscribe to RSS Feed

Hyperspectral Unmixing with Endmember Variability using Semi-supervised Partial Membership Latent Dirichlet Allocation

Published: Mar 17th, 2017

Abstract: A semi-supervised Partial Membership Latent Dirichlet Allocation approach is developed for hyperspectral unmixing and endmember estimation while accounting for spectral variability and spatial information. Partial Membership Latent Dirichlet Allocation […]

Map-guided Hyperspectral Image Superpixel Segmentation Using Proportion Maps

Published: Jan 10th, 2017

Abstract: A map-guided superpixel segmentation method for hyperspectral imagery is developed and introduced. The proposed approach develops a hyperspectral-appropriate version of the SLIC superpixel segmentation algorithm, leverages map information to […]

Hyperspectral Unmixing with Endmember Variability Using Partial Membership Latent Dirichlet Allocation

Published: Sep 13th, 2016

Abstract: The application of Partial Membership Latent Dirichlet Allocation (PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts […]

Hyperspectral Unmixing With Endmember Variability via Alternating Angle Minimization

Published: Aug 11th, 2016

Abstract: In hyperspectral unmixing applications, one typically assumes that a single spectrum exists for every endmember. In many scenarios, this is not the case, and one requires a set or […]

Alternating Angle Minimization Based Unmixing with Endmember Variability

Published: Jul 11th, 2016

Abstract: Several techniques exist for dealing with spectral variability in hyperspectral unmixing, such as multiple endmember spectral mixture analysis (MESMA) or compositional models. These algorithms are computationally very involved, and […]

Spatial and spectral unmixing using the beta compositional model

Published: Jun 11th, 2014

Abstract: This paper introduces the beta compositional model (BCM) for hyperspectral unmixing and four algorithms for unmixing given the BCM. Hyperspectral unmixing estimates the proportion of each endmember at every […]

Endmember variability in hyperspectral analysis: addressing spectral variability during spectral unmixing

Published: Jan 11th, 2014

Abstract: Variable illumination and environmental, atmospheric, and temporal conditions cause the measured spectral signature for a material to vary within hyperspectral imagery. By ignoring these variations, errors are introduced and […]

Accounting for spectral variability in hyperspectral unmixing using beta endmember distribution

Published: Dec 11th, 2013

Abstract: Hyperspectral imaging is widely used in the field of remote sensing (Goetz, et al., 1985; Green, et al., 1998). In a hyperspectral imaging system, sensors collect radiance/reflectance values over […]

Spectral unmixing using the beta compositional model

Published: Jun 11th, 2013

Abstract: This paper introduces a beta compositional model as a mixing model for hyperspectral images. Endmembers are represented via beta distributions, hereafter referred to as betas, to constrain endmembers to […]

Bootstrapping for piece-wise convex endmember distribution detection

Published: Jun 11th, 2012

Abstract: A hyperspectral endmember detection and spectral unmixing algorithm that finds multiple sets of endmember distributions is presented. If endmembers are represented as random vectors, then they can be characterized […]