Results 201 to 210 of about 2,823 (249)

In Situ Dynamic Measurement of Blade Collision Warning Parameters for Coaxial Twin-Rotor Helicopters. [PDF]

Sensors (Basel)
Zheng W, Qiu Z.
europepmc   +1 more source

Unmanned aerial vehicle payload technology applications in agriculture and other low-altitude scenarios: a review. [PDF]

Front Plant Sci
Yao W, Liu C, Liu Y, Zheng Q, Wang J, Yu H, Chen C, Guo S.   +7 more
europepmc   +1 more source

An Improved RODNet for Object Detection Based on Radar and Camera Fusion. [PDF]

Sensors (Basel)
Fan M, Wang X, Fu M, Yang Y, Guo Y, Lan X.   +5 more
europepmc   +1 more source

Automatic Target Recognition on Synthetic Aperture Radar Imagery: A Survey [PDF]

IEEE Aerospace and Electronic Systems Magazine, 2021
21 pages, 14 ...
Nabil Aouf, Odysseas Kechagias-Stamatis   +1 more
exaly   +5 more sources

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Automatic Target Recognition for Passive Radar

IEEE Transactions on Aerospace and Electronic Systems, 2014
Air-traffic controllers cannot identify air vehicles flying with a defective or nonexistent transponder. Primary radar does not help, because it cannot classify air vehicles from echoes. Passive radar offers a potential solution, the main difficulty lying in the analysis of the data.
Jonathan Pisanè, Jacques Verly
exaly   +2 more sources

Automatic target recognition in laser radar imagery

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
This paper presents an automatic target recognition (ATR) system for laser radar (LADAR) imagery, designed to classify objects at multiple levels of discrimination (target detection, classification, and recognition) from single LADAR images. Segmentation is performed in both the range and non-range LADAR channels and results combined to increase object
Magnús Snorrason, Harald Ruda, Alper K. Caglayan   +2 more
openaire   +1 more source

Convolutional factor analysis model with application to radar automatic target recognition

Pattern Recognition, 2019
Abstract Convolutional networks, such as convolutional neural networks, are extensively applied in pattern recognition systems, where the convolution kernel plays an important role in performance improvement. Inspired by this, we integrate the convolution operation into statistical modeling in this paper and develop a novel probabilistic generative ...
Lan Du, Yuchen Guo
exaly   +2 more sources

Automatic target recognition using waveform diversity in radar sensor networks

Pattern Recognition Letters, 2008
In this paper, we perform a number of theoretical studies on constant frequency (CF) pulse waveform design and diversity in radar sensor networks (RSN): (1) the conditions for waveform co-existence, (2) interferences among waveforms in RSN, (3) waveform diversity combining in RSN. As an application example, we apply the waveform design and diversity to
Qilian Liang
exaly   +2 more sources