Results 21 to 30 of about 11,440 (262)

Generation of efficient 2D templates from 3D multisensor data for correlation-based target tracking [PDF]

, 2022
Paper 69680HThe general demand for the prevention of collateral damages in military operations requires methods of robust automatic identification of target objects like vehicles especially during target approach.
Armbruster, W., Hebel, Marcus, Witte, C., Jäger, K.   +3 more
core   +1 more source

Measurements and analysis of multistatic and multimodal micro-Doppler signatures for automatic target classification [PDF]

, 2014
The purpose of this paper is to present an experimental trial carried out at the Defence Academy of the United Kingdom to measure simultaneous multistatic and multimodal micro-Doppler signatures of various targets, including humans and flying UAVs ...
Marcio Perassoli, Alessio Balleri, Woodbridge, K., Perassoli, M., Balleri, Alessio, Karl Woodbridge   +5 more
core   +1 more source

Multistatic human micro-Doppler classification of armed/unarmed personnel [PDF]

, 2015
Classification of different human activities using multistatic micro-Doppler data and features is considered in this paper, focusing on the distinction between unarmed and potentially armed personnel.
Griffiths, Hugh, Fioranelli, Francesco, Griffiths, H, Ritchie, Matthew, Francesco Fioranelli, Fioranelli, F, Ritchie, M, Hugh Griffiths, Matthew Ritchie   +8 more
core   +1 more source

Application of the fruit fly optimization algorithm to an optimized neural network model in radar target recognition

Компьютерная оптика, 2021
With the development of computer technology, there are more and more algorithms and models for data processing and analysis, which brings a new direction to radar target recognition.
M. Liu, Z.H. Sun
doaj   +1 more source

Airborne behaviour monitoring using Gaussian processes with map information [PDF]

, 2013
This paper proposes an airborne behaviour monitoring methodology of ground vehicles based on a statistical learning approach with domain knowledge given by road map information.
Shin, Hyosang, Seungkeun Kim (7121504), Hyo-Sang Shin (7121507), Antonios Tsourdos (7121918), Oh, Hyondong, Tsourdos, Antonios, Kim, Seungkeun, Hd Oh (1252035), Shin, Hyo-Sang, White, Brian A, Barry A. White (7122041), White, Brian A.   +11 more
core   +1 more source

Sea surface target recognition and tracking system for unmanned surface vehicle with heterogeneous sensors

Zhongguo Jianchuan Yanjiu, 2021
ObjectivesIn order to meet the needs of long-distance sea target recognition and tracking through the navigation radar and integrated optoelectronic equipment of an unmanned surface vehicle (USV) operating in a marine environment, a novel USV autonomous ...
Shangjun LI, Lin YUE, Zhe LI, Yifan ZHANG   +3 more
doaj   +1 more source

Compressed sensing of monostatic and multistatic SAR [PDF]

, 2013
In this letter, we study the impact of compressed data collections from a synthetic aperture radar (SAR) sensor on the reconstruction quality of a scene of interest.
Çetin, Müjdat, W. Clem Karlb, Mujdat Cetinc, Stojanovic, Ivana, Karl, W. Clem, Ivana Stojanovica   +5 more
core   +1 more source

Status and Prospects of Radar Polarimetry Techniques

Leida xuebao, 2016
Radar polarimetry is an applied fundamental science field that is focused on understanding interaction processes between radar waves and targets and disclosing their mechanisms.
Wang Xuesong
doaj   +1 more source

Automatic target recognition by means of polarimetric ISAR images: a model matching based algorithm [PDF]

, 2008
Automatic target recognition (ATR) is generally the reason why ISAR imaging systems are employed. Moreover, the use of fully polarimetric radar systems in radar imaging applications such as SAR and ISAR has enhanced both image quality and classification ...
L. Demi, Berizzi, F., F. Berizzi, GIUSTI E, BATES B., Giusti, E., Bates, B., Cacciamano, A., DEMI L, Demi, L., CACCIAMANO A, B. Bates, ZHOU A, E. Giusti, MARTORELLA, MARCO, M. Martorella, Martorella, M., Zhou, Z., BERIZZI, FABRIZIO, Z. Zhou, A. Cacciamano   +20 more
core   +1 more source

3D Radar Imaging for Non-Cooperative Target Recognition [PDF]

, 2022
The RING (3D Radar Imaging for Non-Cooperative Target Recognition) project is a Research and Technological Development project funded within EDA framework. The RING project aims to develop novel non-cooperative target recognition (NCTR) systems that make
Samczynski, P., Wielgo, M., Giusti, E., Julczyk, J., Pizziol, G., Martorella, M.; id_orcid, Ghio, S., Mularzuk, R., Ciesielski, M., Soszka, M., Stagliano, D., Baczyk, M. K., Stasiak, K., Drozdowicz, J., Lischi, S.   +14 more
core   +1 more source