no code implementations • 6 Dec 2022 • James Theiler
The problem of composite hypothesis testing is considered in the context of Bayesian detection of weak target signals in cluttered backgrounds.
no code implementations • 3 Sep 2020 • Renán Rojas-Gómez, Jihyun Yang, Youzuo Lin, James Theiler, Brendt Wohlberg
Seismic full-waveform inversion (FWI) is a nonlinear computational imaging technique that can provide detailed estimates of subsurface geophysical properties.
no code implementations • 24 Jul 2020 • 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.
no code implementations • 18 May 2020 • Christopher X. Ren, Amanda Ziemann, James Theiler, Alice M. S. Durieux
In this work we demonstrate that generative adversarial networks (GANs) can be used to generate realistic pervasive changes in remote sensing imagery, even in an unpaired training setting.
no code implementations • 28 Nov 2019 • Christopher X. Ren, Amanda Ziemann, Alice M. S. Durieux, James Theiler
This paper introduces a new method of generating realistic pervasive changes in the context of evaluating the effectiveness of change detection algorithms in controlled settings.
no code implementations • 5 Apr 2018 • 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.