Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hamid Reza Hashempour"'
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82054b725040ba2ab234389718b004a3
https://doi.org/10.1109/tgrs.2022.3172018
https://doi.org/10.1109/tgrs.2022.3172018
Publikováno v:
IEEE Transactions on Computational Imaging. 7:384-398
With the goal of persistent surveillance over a scene of interest, this paper proposes an approach for joint imaging and trajectory extraction of multiple moving objects, using circular video-SAR (ViSAR) mode. Unlike stationary SAR imaging where the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b673401253991b42b45f56e136a29d21
https://doi.org/10.1109/tci.2021.3069762
https://doi.org/10.1109/tci.2021.3069762
Autor:
Hamid Reza Hashempour
Publikováno v:
IEEE Sensors Journal. 20:13349-13356
Compressed sensing (CS) can achieve high resolution inverse synthetic aperture radar (ISAR) imaging of moving targets with limited measurements. Recently, alternating direction method of multipliers (ADMM) has been introduced to solve the optimizatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b61cd096967edb4950e153163b53dc6
https://doi.org/10.1109/jsen.2020.3006105
https://doi.org/10.1109/jsen.2020.3006105
Autor:
Hamid Reza Hashempour
Publikováno v:
Electronics Letters. 56:954-957
Due to the sparse nature of inverse synthetic aperture radar (ISAR) images, sparsity-driven algorithms have been developed for high-resolution ISAR imaging. Recently, alternating direction method of multipliers (ADMMs) has been introduced for sparse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::358095eface18e8620675787c39d4bad
https://doi.org/10.1049/el.2020.0948
https://doi.org/10.1049/el.2020.0948
Autor:
Abbas Sheikhi, Hamid Reza Hashempour
Publikováno v:
IEEE Sensors Journal. 19:4045-4053
A long coherent processing interval (CPI) is needed for achieving a high-resolution inverse synthetic aperture radar (ISAR) image. However, for a maneuvering target, the time-varying Doppler shifts cause a blurring effect on the ISAR image. Sparse re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1275457a64aae9355a730d151d43d966
https://doi.org/10.1109/jsen.2019.2899112
https://doi.org/10.1109/jsen.2019.2899112
Publikováno v:
Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 42:239-249
In recent years, orthogonal frequency-division multiplexing (OFDM) synthetic aperture radar (SAR) imaging has been introduced and an inter-range-cell interference (IRCI) free OFDM SAR has also been proposed. In this paper, we use this idea and propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b74206dd5a8607f04cb12baad427641
https://doi.org/10.1007/s40998-018-0057-5
https://doi.org/10.1007/s40998-018-0057-5
Publikováno v:
Digital Signal Processing. 68:93-101
Due to inherent sparsity of ISAR images, compressive sensing theory has been used to obtain a high resolution image. However, before applying sparse recovery methods, the phase error due to the translational motion of target is compensated by autofoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddf5e7da9626be7ff3cbe19dedec9907
https://doi.org/10.1016/j.dsp.2017.05.004
https://doi.org/10.1016/j.dsp.2017.05.004
Publikováno v:
2017 Iranian Conference on Electrical Engineering (ICEE).
Compressive sensing (CS) theory has been recently used to obtain high-resolution inverse synthetic aperture radar (ISAR) images. In this paper a compressive sensing algorithm is used to reconstruct the high-resolution ISAR image with limited measurem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d8a26b19cbf342cd2010b6b6eaebac4
https://doi.org/10.1109/iraniancee.2017.7985358
https://doi.org/10.1109/iraniancee.2017.7985358