Broad area search and detection of surface-to-air missile sites using spatial fusion of component object detections from deep neural networks
Here, we demonstrate how deep neural network (DNN) detections of multiple constitutive or
component objects that are part of a larger, more complex, and encompassing feature can …
component objects that are part of a larger, more complex, and encompassing feature can …
Detection of Camouflage-Covered Military Objects Using High-Resolution Multi-Spectral Satellite Imagery
AB Cannaday, CH Davis… - IGARSS 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Here we evaluated the effectiveness of high-resolution multi-spectral (MS) satellite imagery
for detection of Camouflage-Covered Military Objects (CCMO) using deep neural networks …
for detection of Camouflage-Covered Military Objects (CCMO) using deep neural networks …
Neuro-fuzzy logic for parts-based reasoning about complex scenes in remotely sensed data
B Ruprecht, C Veal, A Cannaday… - … Fusion, and Target …, 2020 - spiedigitallibrary.org
In this article, we explore the role and usefulness of neuro-fuzzy logic in the context of
automatically reasoning under uncertainty about complex scenes in remotely sensed data …
automatically reasoning under uncertainty about complex scenes in remotely sensed data …
[引用][C] Explainable parts-based concept modeling and reasoning
B Ruprecht - 2023 - University of Missouri--Columbia
[引用][C] Information fusion for robust detection of scarce features/objects in high resolution electro-optical satellite imagery
AB Cannaday - 2021 - University of Missouri--Columbia
[引用][C] Neuro-fuzzy logic for parts-based reasoning about complex scenes in remotely sensed data
GS Kellera, C Davisa, C Norsworthyc, P Elmored…