Data-driven motion compensation techniques for noncooperative ISAR imaging

Risto Vehmas; Juha Jylhä; Minna Väilä; Juho Vihonen; Ari Visa

doi:10.1109/TAES.2017.2756518

Data-driven motion compensation techniques for noncooperative ISAR imaging

Risto Vehmas, Juha Jylhä, Minna Väilä, Juho Vihonen, Ari Visa

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

14 Sitaatiot (Scopus)

Abstrakti

We consider the data-driven motion compensation problem in inverse synthetic aperture radar (ISAR) imaging. We present optimization-based ISAR techniques and propose improvements to the range alignment, time-window selection, autofocus, time-frequency-based image reconstruction and crossrange scaling procedures. In experiments, the improvements reduced the computational burden and increased the image contrast by 50 percent at best and 28 percent on average in several test cases including changing translational and rotational motion.

Alkuperäiskieli	Englanti
Julkaisu	IEEE Transactions on Aerospace and Electronic Systems
Varhainen verkossa julkaisun päivämäärä	26 syysk. 2017
DOI - pysyväislinkit	https://doi.org/10.1109/TAES.2017.2756518
Tila	Julkaistu - helmik. 2018
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Julkaisufoorumi-taso

Jufo-taso 2

Pääsy asiakirjaan

10.1109/TAES.2017.2756518

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title = "Data-driven motion compensation techniques for noncooperative ISAR imaging",

abstract = "We consider the data-driven motion compensation problem in inverse synthetic aperture radar (ISAR) imaging. We present optimization-based ISAR techniques and propose improvements to the range alignment, time-window selection, autofocus, time-frequency-based image reconstruction and crossrange scaling procedures. In experiments, the improvements reduced the computational burden and increased the image contrast by 50 percent at best and 28 percent on average in several test cases including changing translational and rotational motion.",

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year = "2018",

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doi = "10.1109/TAES.2017.2756518",

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journal = "IEEE Transactions on Aerospace and Electronic Systems",

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T1 - Data-driven motion compensation techniques for noncooperative ISAR imaging

AU - Vehmas, Risto

AU - Jylhä, Juha

AU - Väilä, Minna

AU - Vihonen, Juho

AU - Visa, Ari

PY - 2018/2

Y1 - 2018/2

N2 - We consider the data-driven motion compensation problem in inverse synthetic aperture radar (ISAR) imaging. We present optimization-based ISAR techniques and propose improvements to the range alignment, time-window selection, autofocus, time-frequency-based image reconstruction and crossrange scaling procedures. In experiments, the improvements reduced the computational burden and increased the image contrast by 50 percent at best and 28 percent on average in several test cases including changing translational and rotational motion.

AB - We consider the data-driven motion compensation problem in inverse synthetic aperture radar (ISAR) imaging. We present optimization-based ISAR techniques and propose improvements to the range alignment, time-window selection, autofocus, time-frequency-based image reconstruction and crossrange scaling procedures. In experiments, the improvements reduced the computational burden and increased the image contrast by 50 percent at best and 28 percent on average in several test cases including changing translational and rotational motion.

U2 - 10.1109/TAES.2017.2756518

DO - 10.1109/TAES.2017.2756518

M3 - Article

SN - 0018-9251

JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

ER -

Data-driven motion compensation techniques for noncooperative ISAR imaging

Abstrakti

Julkaisufoorumi-taso

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