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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 […]

Classification Label Map for MUUFL Gulfport Released!

Classification Label Map for MUUFL Gulfport Released!

Published: Mar 13th, 2017

We are excited to announce that we have released a classification label map for the MUUFL Gulfport co-registered hyperspectral and Lidar Campus 1 image . The MUUFL Gulfport data set […]

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 […]

Partial Membership Latent Dirichlet Allocation for Soft Image Segmentation

Published: Dec 28th, 2016

Abstract: Topic models (e.g., pLSA, LDA, sLDA) have been widely used for segmenting imagery. However, these models are confined to crisp segmentation, forcing a visual word (i.e., an image patch) […]

Semi-supervised Interactive Unmixing for Hyperspectral Image Analysis

Published: Dec 20th, 2016

Abstract: In the past several decades, hyperspectral imaging has drawn a lot of attention in the eld of remote sensing. Yet, due to low spatial resolutions of hyperspectral imagers, often […]

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 […]

Possibilistic context identification for SAS imagery

Published: May 11th, 2015

Abstract: This paper proposes a possibilistic context identification approach for synthetic aperture sonar (SAS) imagery. SAS seabed imagery can display a variety of textures that can be used to identify […]

Boundary detection and Superpixel formation in synthetic aperture sonar imagery

Published: Sep 11th, 2014

Abstract: A boundary detection algorithm for synthetic aper- ture sonar (SAS) images that draws upon a popular superpixel formation algorithm is detailed and tested against a set of SAS images […]

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 […]

An integrated graph cuts segmentation and piece-wise convex unmixing approach for hyperspectral imaging

Published: Jun 11th, 2014

Abstract: Context-based unmixing has been studied by several researchers. Recent techniques, such as piece-wise convex unmixing using fuzzy and possibilistic clustering or Bayesian methods proposed in [11] attempt to form […]