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Wyszukujesz frazę "multispectral imaging" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
Lasers in the dual use technologies
Autorzy:
Mierczyk, Z.
Powiązania:
https://bibliotekanauki.pl/articles/201649.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
lasers
sensors
multispectral imaging
environment monitoring
Dual Use Technology
Opis:
In the more developed countries the use of modern technologies in the national economy is a general process allowing joint funding of a security research and development by both sources, state and private. The last one is especially involved in applications of modern technologies. One of the examples of important modern technologies being under development in many countries are dual-use technologies, which include IT technologies, sensors, effective energy sources, material science, nanotechnology, micro- and nano-electronics, photonics, biotechnology and quantum medicine. In this paper chosen technologies fulfilling the needs of the military technique and security monitoring systems, which have found their applications in the different branches of industry like power engineering, transportation, construction industry, metrology, protection of environment and the medicine, are discussed. The examples include the devices and lasers systems for different threats monitoring, which have been developed at the Military University of Technology. The research studies carried out on the analysis of various materials based on their spectroscopic characteristics: absorption, emission, dispersion, polarization and fluorescence in different mediums have led to the development of laser telemetry devices, environment monitoring devices and spatial imagery, as well as devices for medical diagnostics and therapy. Mentioned systems are composed of functional modules, which were developed to meet the real needs. These systems can be expanded further by addition of extra detectors of chemical materials and physical properties, and improving measuring functions and data transmission and processing.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2012, 60, 4; 691-696
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Learning-free deep features for multispectral palm-print classification
Autorzy:
Aounallah, Asma
Meraoumia, Abdallah
Bendjenna, Hakim
Powiązania:
https://bibliotekanauki.pl/articles/27312870.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
feature extraction
biometrics
multispectral imaging
deep learning
DCTNet
data fusion
Opis:
The feature-extraction step is a major and crucial step in analyzing and understanding raw data, as it has a considerable impact on system accuracy. Despite the very acceptable results that have been obtained by many handcrafted methods, these can unfortunately have difficulty representing features in the cases of large databases or with strongly correlated samples. In this context, we attempt to examine the discriminability of texture features by proposing a novel, simple, and lightweight method for deep feature extraction to characterize the discriminative power of different textures. We evaluated the performance of our method by using a palm print-based biometric system, and the experimental results (using the CASIA multispectral palm--print database) demonstrate the superiority of the proposed method over the latest handcrafted and deep methods.
Źródło:
Computer Science; 2023, 24 (2); 243--271
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fast multispectral deep fusion networks
Autorzy:
Osin, V.
Cichocki, A.
Burnaev, E.
Powiązania:
https://bibliotekanauki.pl/articles/200648.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multispectral imaging
data fusion
deep learning
convolutional network
object detection
image segmentation
obrazowanie wielospektralne
fuzja danych
uczenie głębokie
sieci splotowe
wykrywanie obiektów
segmentacja obrazu
Opis:
Most current state-of-the-art computer vision algorithms use images captured by cameras, which operate in the visible spectral range as input data. Thus, image recognition systems that build on top of those algorithms can not provide acceptable recognition quality in poor lighting conditions, e.g. during nighttime. Another significant limitation of such systems is high demand for computational resources, which makes them impossible to use on low-powered embedded systems without GPU support. This work attempts to create an algorithm for pattern recognition that will consolidate data from visible and infrared spectral ranges and allow near real-time performance on embedded systems with infrared and visible sensors. First, we analyze existing methods of combining data from different spectral ranges for object detection task. Based on the analysis, an architecture of a deep convolutional neural network is proposed for the fusion of multi-spectral data. This architecture is based on the single shot multi-box detection algorithm. Comparison analysis of the proposed architecture with previously proposed solutions for the multi-spectral object detection task shows comparable or better detection accuracy with previous algorithms and significant improvement of the running time on embedded systems. This study was conducted in collaboration with Philips Lighting Research Lab and solutions based on the proposed architecture will be used in image recognition systems for the next generation of intelligent lighting systems. Thus, the main scientific outcomes of this work include an algorithm for multi-spectral pattern recognition based on convolutional neural networks, as well as a modification of detection algorithms for working on embedded systems.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 6; 875-889
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Background light suppression lock-in method for multispectral measurements with near-infrared LED spotlight illumination
Autorzy:
Olbrycht, R.
Powiązania:
https://bibliotekanauki.pl/articles/114491.pdf
Data publikacji:
2018
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
multispectral
imaging
near infrared
Opis:
The paper deals with illumination issues in multispectral imaging and presents the lock-in approach for background light suppression. There is comparison shown between the results obtained with differential approach and lock-in approach without sweep and with sweep. Obtained results prove the good performance of background suppression with the proposed lock-in approach.
Źródło:
Measurement Automation Monitoring; 2018, 64, 4; 99-102
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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