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United States Air Force Academy

Academic institutionnorthamerica · us
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Research library4linked papers
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Selected work

Representative Papers

Implicit Neural Speckle Denoising

Aug 06, 2026

This work addresses the challenge of suppressing multiplicative, spatially correlated speckle noise in dynamic coherent imaging—a task where conventional frame averaging proves ineffective. The authors propose a training-free denoising framework that integrates spatiotemporal implicit neural representation with an aperture-aware maximum likelihood model. Notably, it explicitly embeds pupil-geometry-dependent speckle covariance into the optimization process for the first time, enabling compatibility with arbitrary aperture configurations without retraining. Efficiency and scalability are achieved through matrix-free optimization accelerated by FFT, combined with stochastic approximation, conjugate gradient methods, and a no-reference automatic early-stopping criterion. Experiments demonstrate superior performance over classical, unsupervised, and supervised baselines in terms of spatial fidelity, temporal consistency, and robustness across diverse speckle statistics.

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Exploring the OODA Loop as a Systematic Way of Thinking in Coping with Conflicts

Jul 25, 2026

This study addresses the lack of a systematic cognitive framework for managing conflict in uncertain, adversarial, and dynamic environments. It extends the OODA loop—originally developed for aerial combat—into a general-purpose cognitive architecture for cross-domain conflict reasoning, positing that conflict fundamentally entails a contest over observational capacity, judgment, and decision-making capability. By integrating situation awareness, mental models, and goal- and experience-driven reasoning mechanisms, the authors develop an OODA-based cognitive modeling approach. The framework’s efficacy is validated in two distinct scenarios: cyber conflict and cognitive confrontation. Empirical results demonstrate that information processing efficiency and cognitive superiority are pivotal determinants of success in such contested settings.

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Cognitive Warfare: Definition, Framework, and Case Study

Mar 05, 2026

This study addresses the lack of a unified definition and effective evaluation methods in cognitive warfare, which is often oversimplified as a subset of information operations and thus fails to adequately capture the dynamics of adversarial interaction and the mechanisms of cognitive advantage. To resolve this, the work proposes a precise definition of cognitive warfare and systematically distinguishes it from information operations for the first time. It further develops an analytical framework grounded in the OODA (Observe, Orient, Decide, Act) loop, integrating cognitive modeling with case-based wargaming. This framework enables the quantification of key attributes of cognitive advantage and provides joint force commanders and analysts with an operational toolset for understanding, comparing, and evaluating cognitive warfare, thereby significantly enhancing the capacity to assess effectiveness in the cognitive domain.

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Recent publications

Latest Papers

Implicit Neural Speckle Denoising

Aug 06, 2026

This work addresses the challenge of suppressing multiplicative, spatially correlated speckle noise in dynamic coherent imaging—a task where conventional frame averaging proves ineffective. The authors propose a training-free denoising framework that integrates spatiotemporal implicit neural representation with an aperture-aware maximum likelihood model. Notably, it explicitly embeds pupil-geometry-dependent speckle covariance into the optimization process for the first time, enabling compatibility with arbitrary aperture configurations without retraining. Efficiency and scalability are achieved through matrix-free optimization accelerated by FFT, combined with stochastic approximation, conjugate gradient methods, and a no-reference automatic early-stopping criterion. Experiments demonstrate superior performance over classical, unsupervised, and supervised baselines in terms of spatial fidelity, temporal consistency, and robustness across diverse speckle statistics.

0 citationsRead paper

Exploring the OODA Loop as a Systematic Way of Thinking in Coping with Conflicts

Jul 25, 2026

This study addresses the lack of a systematic cognitive framework for managing conflict in uncertain, adversarial, and dynamic environments. It extends the OODA loop—originally developed for aerial combat—into a general-purpose cognitive architecture for cross-domain conflict reasoning, positing that conflict fundamentally entails a contest over observational capacity, judgment, and decision-making capability. By integrating situation awareness, mental models, and goal- and experience-driven reasoning mechanisms, the authors develop an OODA-based cognitive modeling approach. The framework’s efficacy is validated in two distinct scenarios: cyber conflict and cognitive confrontation. Empirical results demonstrate that information processing efficiency and cognitive superiority are pivotal determinants of success in such contested settings.

0 citationsRead paper

Cognitive Warfare: Definition, Framework, and Case Study

Mar 05, 2026

This study addresses the lack of a unified definition and effective evaluation methods in cognitive warfare, which is often oversimplified as a subset of information operations and thus fails to adequately capture the dynamics of adversarial interaction and the mechanisms of cognitive advantage. To resolve this, the work proposes a precise definition of cognitive warfare and systematically distinguishes it from information operations for the first time. It further develops an analytical framework grounded in the OODA (Observe, Orient, Decide, Act) loop, integrating cognitive modeling with case-based wargaming. This framework enables the quantification of key attributes of cognitive advantage and provides joint force commanders and analysts with an operational toolset for understanding, comparing, and evaluating cognitive warfare, thereby significantly enhancing the capacity to assess effectiveness in the cognitive domain.

0 citationsRead paper