Monday, November 16th, 2015

Functions of Multiple Instances for Learning Target Signatures

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


Monday, November 16th, 2015

Spatial and Spectral Unmixing Using the Beta Compositional Model

Abstract: This paper introduces the beta compositional model (BCM) for hyperspectral unmixing and four algorithms for unmixing given the BCM. […]


Tuesday, May 13th, 2014

Hyperspectral Unmixing and Band Weighting For Multiple Endmember Sets

Abstract: Imaging spectrometers measure the response from materials across the electro- magnetic spectrum. Often, in remote sensing applications, the imaging […]


Friday, April 19th, 2013

Sampling Piecewise Convex Unmixing and Endmember Extraction

Abstract: A Metropolis-within-Gibbs sampler for piecewise convex hyperspectral unmixing and endmember extraction is presented. The standard linear mixing model used […]


Monday, April 1st, 2013

Piecewise Convex Multiple-Model Endmember Detection and Spectral Unmixing

Abstract: A hyperspectral endmember detection and spectral unmixing algorithm that finds multiple sets of endmembers is presented. Hyperspectral data are […]


Friday, August 31st, 2012

Spectral Unmixing Cluster Validity Index for Multiple Sets of Endmembers

Abstract: A hyperspectral pixel is generally composed of a relatively small number of endmembers. Several unmixing methods have been developed […]


Friday, May 11th, 2012

Pattern Recognition using Functions of Multiple Instances

Abstract: The Functions of Multiple Instances (FUMI) method for learning a target prototype from data points that arefunctions of target and non-target prototypes is introduced. In this […]


Friday, May 11th, 2012

L1-Endmembers: A Robust Endmember Detection and Spectral Unmixing Algorithm

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


Friday, May 11th, 2012

Multi-Class Sub-pixel Target Detection using Functions of Multiple Instances

Abstract: The Multi-class Convex-FUMI (Multi-class C-FUMI) method is developed and described. The method is capable of learning prototypes for multiple […]


Friday, May 11th, 2012

Piece-wise Convex Spatial-Spectral Unmixing of Hyperspectral Imagery using Possibilistic and Fuzzy Clustering

Abstract: Imaging spectroscopy refers to methods for identifying materials in a scene using cameras that digitize light into hundreds of spectral bands. Each pixel in […]