# Closed-form detector for solid sub-pixel targets in multivariate t-distributed background clutter

arXiv: https://arxiv.org/abs/1804.02062 · HTML: https://mlsanity.com/paper/1804.02062/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Apr 2018.

## Built on by (most cited first, 1 of 1)

- [Exploring the Intrinsic Probability Distribution for Hyperspectral Anomaly Detection](https://mlsanity.com/paper/2105.06775/) (2021)

## Abstract (arXiv)

The generalized likelihood ratio test (GLRT) is used to derive a detector for solid sub-pixel targets in hyperspectral imagery. A closed-form solution is obtained that optimizes the replacement target model when the background is a fat-tailed elliptically-contoured multivariate t-distribution. This generalizes GLRT-based detectors that have previously been derived for the replacement target model with Gaussian background, and for the additive target model with an elliptically-contoured background. Experiments with simulated hyperspectral data illustrate the performance of this detector in various parameter regimes.