Zobrazeno 1 - 10
of 273
pro vyhledávání: '"Ljubisa Stankovic"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16902-16916 (2024)
In recent decades, weakly supervised object localization (WSOL) has gained increasing attention in remote sensing. However, unlike optical images, remote sensing images (RSIs) often contain more complex scenes, which poses challenges for WSOL. Tradit
Externí odkaz:
https://doaj.org/article/5609d41e205e43b4bfed70ff94c68372
Publikováno v:
IEEE Access, Vol 8, Pp 50611-50625 (2020)
The influence of finite-length registers and the corresponding quantization effects on the reconstruction of sparse and approximately sparse signals from a reduced set of measurements is analyzed in this paper. For the nonquantized measurements, the
Externí odkaz:
https://doaj.org/article/a65d5fe5b30344339b9ece123adf4902
Publikováno v:
2022 30th Telecommunications Forum (TELFOR).
Publikováno v:
2022 30th Telecommunications Forum (TELFOR).
Publikováno v:
2022 30th Telecommunications Forum (TELFOR).
Publikováno v:
2022 30th Telecommunications Forum (TELFOR).
Publikováno v:
Circuits, Systems, and Signal Processing. 40:3907-3928
In this paper, we present an approach to the reconstruction of signals exhibiting sparsity in a transformation domain, having some heavily disturbed samples. This sparsity-driven signal recovery exploits a carefully suited random sampling consensus (
Publikováno v:
IEEE Geoscience and Remote Sensing Letters
IEEE Geoscience and Remote Sensing Letters, IEEE-Institute of Electrical and Electronics Engineers, 2021, 18 (1), pp.28-32. ⟨10.1109/LGRS.2020.2968137⟩
IEEE Geoscience and Remote Sensing Letters, IEEE-Institute of Electrical and Electronics Engineers, 2021, 18 (1), pp.28-32. ⟨10.1109/LGRS.2020.2968137⟩
International audience; With its aim to reduce the amount of sensed data and to improve the energy efficiency, compressive sensing (CS) is recently witnessing a growing research interest in remote-sensing applications. The Fourier transform domain pl
Publikováno v:
IEEE Signal Processing Letters. 28:1110-1114
Within the Compressive Sensing (CS) paradigm, sparse signals can be reconstructed based on a reduced set of measurements. Reliability of the solution is determined by the uniqueness condition. With its mathematically tractable and feasible calculatio
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).