Search Results for author: James Theiler

Found 6 papers, 0 papers with code

Homeopathic priors?

no code implementations6 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.

Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation

no code implementations3 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.

Data Augmentation

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

no code implementations24 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.

Deep Snow: Synthesizing Remote Sensing Imagery with Generative Adversarial Nets

no code implementations18 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.

Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery

no code implementations28 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.

Change Detection

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

no code implementations5 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.

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