Skip to main content

Hyperspectral band selection and endmember detection using sparsity promoting priors

April 2, 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 extension adds spectral band weights and a sparsity promoting prior to the SPICE objective function to provide integrated band selection. In addition to solving for […]

Read more: Hyperspectral band selection and endmember detection using sparsity promoting priors »

Vegetation mapping for landmine detection using long-wave hyperspectral imagery

January 1, 2008

Abstract: We develop a vegetation mapping method using long-wave hyperspectral imagery and apply it to landmine detection. The novel aspect of the method is that it makes use of emissivity skewness. The main purpose of vegetation detection for mine detection is to minimize false alarms. Vegetation, such as round bushes, may be mistaken as mines […]

Read more: Vegetation mapping for landmine detection using long-wave hyperspectral imagery »

Sparsity promoting iterated constrained endmember detection with integrated band selection

July 1, 2007

Abstract: An extension of the iterated constrained endmembers (ICE) that incorporates sparsity promoting priors to find the correct number of endmembers and simultaneously select informative spectral bands is presented. In addition to solving for endmembers and endmember fractional maps, this algorithm attempts to autonomously determine the number of endmembers required for a particular scene. The […]

Read more: Sparsity promoting iterated constrained endmember detection with integrated band selection »

Sparsity promoting iterated constrained endmember detection in hyperspectral imagery

July 1, 2007

Abstract: An extension of the iterated constrained endmember (ICE) algorithm that incorporates sparsity-promoting priors to find the correct number of endmembers is presented. In addition to solving for endmembers and endmember fractional maps, this algorithm attempts to autonomously determine the number of endmembers that are required for a particular scene. The number of endmembers is […]

Read more: Sparsity promoting iterated constrained endmember detection in hyperspectral imagery »

SPICE: a sparsity promoting iterated constrained endmember extraction algorithm with applications to landmine detection from hyperspectral imagery

April 26, 2007

Abstract: An extension of the Iterated Constrained Endmembers (ICE) algorithm that incorporates sparsity promoting priors to find the correct number of endmembers is presented. In addition to solving for endmembers and endmember fractional maps, this algorithm attempts to autonomously determine the number of endmembers required for a particular scene. The number of endmembers is found […]

Read more: SPICE: a sparsity promoting iterated constrained endmember extraction algorithm with applications to landmine detection from hyperspectral imagery »