paper-with-me

Papers

Generalized likelihood ratio test detector for a modified replacement model target in a multivariate t-distributed background

2020-07-24 · James Theiler

A closed-form expression is derived for the generalized likelihood ratio test (GLRT) detector of a subpixel target in a multispectral image whose area and brightness are both unknown. This expression extends a previous result (which assumed a Gaussian background distribution) to a fatter tailed elliptically-contoured (EC) multivariate t-distributed background. Numerical experiments with simulated data indicate that the EC-based detector outperforms the simpler Gaussian-based detectors, and that the relative performance of the new detector, compared to other EC-based detectors, depends on the regime of target strength and background occlusion.

📄 PDF Abstract BibTeX arXiv:2007.12662

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

GLRT-based Detection in Bistatic Sonar under Strong Direct Blast with Multipath Propagation

2020-02-24

Direct blast is a strong interference in bistatic sonar and difficult to suppress due to multipath propagation for blasts and signals. A generalized likelihood ratio test (GLRT) based detection scheme in the frequency do…

First-Order Statistical Framework for Multi-Channel Passive Detection

2023-02-14 · Todd McWhorter, Louis Scharf, Margaret Cheney

In this paper we establish a general first-order statistical framework for the detection of a common signal impinging on spatially distributed receivers. We consider three types of channel models: 1) the propagation chan…

Sub-pixel detection in hyperspectral imaging with elliptically contoured $t$-distributed background

2020-03-26

Detection of a target with known spectral signature when this target may occupy only a fraction of the pixel is an important issue in hyperspectral imaging. We recently derived the generalized likelihood ratio test (GLRT…

Locally optimal detection of stochastic targeted universal adversarial perturbations

2020-12-08 · Amish Goel, Pierre Moulin

Deep learning image classifiers are known to be vulnerable to small adversarial perturbations of input images. In this paper, we derive the locally optimal generalized likelihood ratio test (LO-GLRT) based detector for d…

image-classificationImage Classification

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

2018-04-05 · James Theiler, Beate Zimmer, Amanda Ziemann

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 back…

Form