Enhanced situation awareness through CNN-based deep multimodal image fusion

S Liu, H Liu, V John, Z Liu, E Blasch - Optical Engineering, 2020 - spiedigitallibrary.org
Automated situation awareness (ASA) in a complex and dynamic setting is a challenging
task. The accurate perception of environmental elements and events is critical for the …

Biological eagle-eye-based visual platform for target detection

Y Deng, H Duan - IEEE Transactions on Aerospace and …, 2018 - ieeexplore.ieee.org
In this paper, the systematic design and implementation of a biological eagle-eye-based
visual platform is presented for target detection. Inspired by the structure and properties of …

DMD mask construction to suppress blocky structural artifacts for medium wave infrared focal plane array-based compressive imaging

Z Wu, X Wang - Sensors, 2020 - mdpi.com
With medium wave infrared (MWIR) focal plane array-based (FPA) compressive imaging
(CI), high-resolution images can be obtained with a low-resolution MWIR sensor. However …

Efficient traffic sign recognition using cross-connected convolution neural networks under compressive sensing domain

J Xiong, L Ye, D Jiang, T Ye, F Wang… - Mobile Networks and …, 2021 - Springer
Convolutional neural networks (CNN) is widely used for traffic sign recognition. Meanwhile,
the compressive sensing technology is developing and applied to the field of image …

Deep convolutional neural networks with integrated quadratic correlation filters for automatic target recognition

B Millikan, H Foroosh, Q Sun - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
Automatic target recognition involves detecting and recognizing potential targets
automatically, which is widely used in civilian and military applications today. Quadratic …

Deep learning based multi-modal image analysis for enhanced situation awareness and environmental perception

S Liu - 2018 - open.library.ubc.ca
Situation awareness (SA) plays an important role in surveillance and security applications.
In a SA system, the perception capability is fundamental and essential. However, the …

Copula based moving vehicle classification in compressive domain without signal reconstruction

AS Mandadi, SA Gooty, MU Kumari… - 2019 10th …, 2019 - ieeexplore.ieee.org
Economical, optimal and accurate solutions for vehicle/personnel detection is becoming
increasingly important especially in the defense domain, border surveillance and other …

Low-complexity open-loop coding of IDR infrared images having JPEG compatibility

E Belyaev, S Forchhammer - Journal of Real-Time Image Processing, 2020 - Springer
In this paper, we present a low-complexity open-loop Intermediate Dynamic Range (IDR)
infrared image coding algorithm which provides two scalability layers. The first layer …

Fast Compressed Automatic Target Recognition for a Compressive Infrared Imager

B Millikan - 2018 - stars.library.ucf.edu
Many military systems utilize infrared sensors which allow an operator to see targets at night.
Several of these are either mid-wave or long-wave high resolution infrared sensors, which …

[引用][C] Anomaly detection method of infrared images based on kernel cat swarm optimization clustering with application in intelligent electrical power inspection

L Hu, Y Peng, L Shi - Infrared Technology, 2018