Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Blaz Pongrac"'
Autor:
Blaz Pongrac, Dusan Gleich
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Publikováno v:
2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom).
Publikováno v:
2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP).
Autor:
Blaz Pongrac, Dusan Gleich
Publikováno v:
2021 7th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR).
Autor:
Primož Smogavec, Blaž Pongrac, Andrej Sarjaš, Venceslav Kafedziski, Nabojša Dončov, Dušan Gleich
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3931 (2024)
This paper investigates the use of ground-penetrating radar (GPR) technology for detecting shallow buried objects, utilizing an air-coupled stepped frequency continuous wave (SFCW) radar system that operates within a 2 GHz bandwidth starting at 500 M
Externí odkaz:
https://doaj.org/article/dd0544b69539413ea2e4639d55bab346
Autor:
Blaz Pongrac, Dusan Gleich
Publikováno v:
2019 International Symposium ELMAR.
Chemical analysis is widely used in different fields. It is based on spectroscopy and different methods. One of the upcoming technology is terahertz (THz) spectroscopy, but it is not yet well researched. This paper presents opto-electrical methods fo
Publikováno v:
ConTEL
This paper presents an overview of THz-technologies, and especially their use for communications. Different approaches on the physics of THz radiation are discussed, from the Radio Frequency (RF) perspective, as well as from the Far Infrared (FIR) op
Autor:
Dusan Gleich, Blaz Pongrac
Publikováno v:
IWSSIP
Terahertz spectrometry offers new opportunities in material research, mostly because THz waves are non-destructive to biological and opaque materials. The technology is still not widely available, but there is a high demand for it. There are three ma
Autor:
Blaž Pongrac, Dušan Gleich
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3698 (2023)
The despeckling of synthetic aperture radar images using two different convolutional neural network architectures is presented in this paper. The first method presents a novel Siamese convolutional neural network with a dilated convolutional network
Externí odkaz:
https://doaj.org/article/4bc49fc74f7a484b91c298957b7ec525
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2397 (2023)
This paper presents the design of a high-voltage pulse-based radar and a supervised data processing method for soil moisture estimation. The goal of this research was to design a pulse-based radar to detect changes in soil moisture using a cross-hole
Externí odkaz:
https://doaj.org/article/9e3a206ccf52463e834baa7cf0fdc090