Artificial Intelligence and Machine Learning in Defense Applications
Latest Publications

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Published By SPIE

9781510630413, 9781510630420

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Front Matter: Volume 11169

Artificial Intelligence and Machine Learning in Defense Applications ◽

10.1117/12.2554471 ◽

2019 ◽

Keyword(s):

Matter Volume

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A vision on hybrid AI for military applications

Artificial Intelligence and Machine Learning in Defense Applications ◽

10.1117/12.2551893 ◽

2019 ◽

Author(s):

Judith Dijk ◽

Klamer Schutte ◽

Serena Oggero

Keyword(s):

Military Applications

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Analysis of the controllers of the vessel course control systems in difficult navigation conditions

Artificial Intelligence and Machine Learning in Defense Applications ◽

10.1117/12.2554412 ◽

2019 ◽

Author(s):

Vladimir V. Ignatyev ◽

Viktor V. Soloviev ◽

Alexandra S. Ignatyeva ◽

Anton S. Boldyreff

Keyword(s):

Control Systems ◽

Course Control

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Rain and snow removal using multi-guided filter and anisotropic gradient in the quaternion framework

Artificial Intelligence and Machine Learning in Defense Applications ◽

10.1117/12.2534744 ◽

2019 ◽

Cited By ~ 1

Author(s):

Viacheslav V. Voronin ◽

Evgenii Semenishchev ◽

Marina Zhdanova ◽

Roman Sizyakin ◽

Alexander Zelenskii

Keyword(s):

Guided Filter ◽

Snow Removal

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Ship detection in synthetic aperture radar (SAR) images by deep learning

Artificial Intelligence and Machine Learning in Defense Applications ◽

10.1117/12.2532781 ◽

2019 ◽

Author(s):

Öner Ayhan ◽

Nigar Sen

Keyword(s):

Deep Learning ◽

Synthetic Aperture Radar ◽

Synthetic Aperture ◽

Sar Images ◽

Ship Detection ◽

Aperture Radar

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Semantic segmentation of panoramic images using a synthetic dataset

Artificial Intelligence and Machine Learning in Defense Applications ◽

10.1117/12.2532494 ◽

2019 ◽

Cited By ~ 1

Author(s):

Yuanyou Xu ◽

Kaiwei Wang ◽

Kailun Yang ◽

Dongming Sun ◽

Jia Fu

Keyword(s):

Semantic Segmentation ◽

Synthetic Dataset ◽

Panoramic Images

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Multimodal object detection using unsupervised transfer learning and adaptation techniques

Artificial Intelligence and Machine Learning in Defense Applications ◽

10.1117/12.2532794 ◽

2019 ◽

Cited By ~ 1

Author(s):

Rachael Abbott ◽

Neil Robertson ◽

Jesus Martinez-del-Rincon ◽

Barry Connor

Keyword(s):

Object Detection ◽

Transfer Learning ◽

Learning And Adaptation

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A novel approach for spectrum decomposition for Raman spectroscopy

Artificial Intelligence and Machine Learning in Defense Applications ◽

10.1117/12.2533073 ◽

2019 ◽

Author(s):

Takayuki Higo ◽

Shuzo Eto ◽

Yuji Ichikawa ◽

Hiromi Kodama ◽

Ippei Asahi

Keyword(s):

Raman Spectroscopy ◽

Novel Approach ◽

Spectrum Decomposition

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On the robustness of compressive sensing hyperspectral image reconstruction using convolutional neural network

Artificial Intelligence and Machine Learning in Defense Applications ◽

10.1117/12.2533113 ◽

2019 ◽

Author(s):

Daniel Gedalin ◽

Yaron Heiser ◽

Yaniv Oiknine ◽

Adrian Stern

Keyword(s):

Neural Network ◽

Image Reconstruction ◽

Convolutional Neural Network ◽

Compressive Sensing ◽

Hyperspectral Image

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Towards information extraction and semantic world modelling to support information management and intelligence creation in defense coalitions

Artificial Intelligence and Machine Learning in Defense Applications ◽

10.1117/12.2533320 ◽

2019 ◽

Author(s):

Almuth Hoffmann ◽

Achim Kuwertz ◽

Jennifer Sander

Keyword(s):

Information Extraction ◽

Information Management ◽

Support Information

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Artificial Intelligence and Machine Learning in Defense ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By SPIE

Front Matter: Volume 11169

A vision on hybrid AI for military applications

Analysis of the controllers of the vessel course control systems in difficult navigation conditions

Rain and snow removal using multi-guided filter and anisotropic gradient in the quaternion framework

Ship detection in synthetic aperture radar (SAR) images by deep learning

Semantic segmentation of panoramic images using a synthetic dataset

Multimodal object detection using unsupervised transfer learning and adaptation techniques

A novel approach for spectrum decomposition for Raman spectroscopy

On the robustness of compressive sensing hyperspectral image reconstruction using convolutional neural network

Towards information extraction and semantic world modelling to support information management and intelligence creation in defense coalitions

Artificial Intelligence and Machine Learning in Defense Applications
Latest Publications