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

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14 Citations (Scopus)

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.

Original language	English
Journal	IEEE Transactions on Aerospace and Electronic Systems
Early online date	26 Sept 2017
DOIs	https://doi.org/10.1109/TAES.2017.2756518
Publication status	Published - Feb 2018
Publication type	A1 Journal article-refereed

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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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AU - Jylhä, Juha

AU - Väilä, Minna

AU - Vihonen, Juho

AU - Visa, Ari

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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.

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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

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