Marine targets recognition through micro-motion estimation from SAR data

Davide Armenise; Filippo Biondi; Pia Addabbo; Carmine Clemente; Danilo Orlando

doi:10.1109/MetroAeroSpace48742.2020.9160210

Marine targets recognition through micro-motion estimation from SAR data

Davide Armenise, Filippo Biondi, Pia Addabbo, Carmine Clemente, Danilo Orlando

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

7 Citations (Scopus)

44 Downloads (Pure)

Abstract

The capability to perform Automatic Target Recognition (ATR) from SAR images has great importance for both civilian and military applications. However, this task becomes challenging when the quality and quantity of target information is not sufficient to reliably discriminate the targets. This is particularly important when dealing with marine targets, where features such as scattering intensities and shapes are common to many different targets. This paper investigates the possibility to enhance classification capabilities of marine targets in SAR images by exploiting the micro-motion information. This characterizing source of information, is extracted by applying Doppler sub-apertures and pixel tracking on SAR images containing the target of interest. The proposed approach is validated on real COSMO-SkyMed SAR data demonstrating the effectiveness to discriminate ships through their unique Doppler fingerprint.

Original language	English
Title of host publication	2020 IEEE 7th International Workshop on Metrology for AeroSpace (MetroAeroSpace)
Place of Publication	Piscataway, N.J.
Publisher	IEEE
Pages	37-42
Number of pages	6
ISBN (Electronic)	978-1-7281-6636-0
DOIs	https://doi.org/10.1109/MetroAeroSpace48742.2020.9160210
Publication status	Published - 5 Jul 2020
Event	IEEE International Workshop on Metrology for Aerospace 2020 - Duration: 22 Jun 2020 → 24 Jun 2020

Conference

Conference	IEEE International Workshop on Metrology for Aerospace 2020
Period	22/06/20 → 24/06/20

Keywords

synthetic aperture radar
micro motion
target classification

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10.1109/MetroAeroSpace48742.2020.9160210

Armenise-etal-IEEE-IWMA-2020-Marine-targets-recognition-through-micro-motion-estimationAccepted author manuscript, 11.1 MB

Cite this

@inproceedings{ec9e82624a2747f18021ef0dc161bf3c,

title = "Marine targets recognition through micro-motion estimation from SAR data",

abstract = "The capability to perform Automatic Target Recognition (ATR) from SAR images has great importance for both civilian and military applications. However, this task becomes challenging when the quality and quantity of target information is not sufficient to reliably discriminate the targets. This is particularly important when dealing with marine targets, where features such as scattering intensities and shapes are common to many different targets. This paper investigates the possibility to enhance classification capabilities of marine targets in SAR images by exploiting the micro-motion information. This characterizing source of information, is extracted by applying Doppler sub-apertures and pixel tracking on SAR images containing the target of interest. The proposed approach is validated on real COSMO-SkyMed SAR data demonstrating the effectiveness to discriminate ships through their unique Doppler fingerprint.",

keywords = "synthetic aperture radar, micro motion, target classification",

author = "Davide Armenise and Filippo Biondi and Pia Addabbo and Carmine Clemente and Danilo Orlando",

note = "{\textcopyright} 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; IEEE International Workshop on Metrology for Aerospace 2020 ; Conference date: 22-06-2020 Through 24-06-2020",

year = "2020",

month = jul,

day = "5",

doi = "10.1109/MetroAeroSpace48742.2020.9160210",

language = "English",

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booktitle = "2020 IEEE 7th International Workshop on Metrology for AeroSpace (MetroAeroSpace)",

publisher = "IEEE",

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Armenise, D, Biondi, F, Addabbo, P, Clemente, C & Orlando, D 2020, Marine targets recognition through micro-motion estimation from SAR data. in 2020 IEEE 7th International Workshop on Metrology for AeroSpace (MetroAeroSpace). IEEE, Piscataway, N.J., pp. 37-42, IEEE International Workshop on Metrology for Aerospace 2020, 22/06/20. https://doi.org/10.1109/MetroAeroSpace48742.2020.9160210

TY - GEN

T1 - Marine targets recognition through micro-motion estimation from SAR data

AU - Armenise, Davide

AU - Biondi, Filippo

AU - Addabbo, Pia

AU - Clemente, Carmine

AU - Orlando, Danilo

N1 - © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2020/7/5

Y1 - 2020/7/5

N2 - The capability to perform Automatic Target Recognition (ATR) from SAR images has great importance for both civilian and military applications. However, this task becomes challenging when the quality and quantity of target information is not sufficient to reliably discriminate the targets. This is particularly important when dealing with marine targets, where features such as scattering intensities and shapes are common to many different targets. This paper investigates the possibility to enhance classification capabilities of marine targets in SAR images by exploiting the micro-motion information. This characterizing source of information, is extracted by applying Doppler sub-apertures and pixel tracking on SAR images containing the target of interest. The proposed approach is validated on real COSMO-SkyMed SAR data demonstrating the effectiveness to discriminate ships through their unique Doppler fingerprint.

AB - The capability to perform Automatic Target Recognition (ATR) from SAR images has great importance for both civilian and military applications. However, this task becomes challenging when the quality and quantity of target information is not sufficient to reliably discriminate the targets. This is particularly important when dealing with marine targets, where features such as scattering intensities and shapes are common to many different targets. This paper investigates the possibility to enhance classification capabilities of marine targets in SAR images by exploiting the micro-motion information. This characterizing source of information, is extracted by applying Doppler sub-apertures and pixel tracking on SAR images containing the target of interest. The proposed approach is validated on real COSMO-SkyMed SAR data demonstrating the effectiveness to discriminate ships through their unique Doppler fingerprint.

KW - synthetic aperture radar

KW - micro motion

KW - target classification

UR - https://ieee-aess.org/conference/2020-ieee-international-workshop-metrology-aerospace

U2 - 10.1109/MetroAeroSpace48742.2020.9160210

DO - 10.1109/MetroAeroSpace48742.2020.9160210

M3 - Conference contribution book

SP - 37

EP - 42

BT - 2020 IEEE 7th International Workshop on Metrology for AeroSpace (MetroAeroSpace)

PB - IEEE

CY - Piscataway, N.J.

T2 - IEEE International Workshop on Metrology for Aerospace 2020

Y2 - 22 June 2020 through 24 June 2020

ER -

Marine targets recognition through micro-motion estimation from SAR data

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