Time series processing of FLIR imagery for MTI and change detection

Mehrdad Soumekh; S. Susan Young; Nasser M. Nasrabadi

Time series processing of FLIR imagery for MTI and change detection

Mehrdad Soumekh
, S. Susan Young
, Nasser M. Nasrabadi

Department of Electrical Engineering

U.S. Army Research Laboratory

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper addresses the problem of calibrating FLIR images of a scene that are acquired at different time points to construct information for Moving Target Indication (MTI) and change detection. A signal model is developed to identify variations and imperfections of a FLIR sensor in time. This model is utilized to compensate for relatively slow variations of a bias in the FLIR sensor via a Fourier-based processing. Furthermore, a two-dimensional adaptive filtering method is developed to compensate for variations of Image Point Response (IPR) of a FLIR sensor as well as sub-pixel changes in the relative coordinates of the sensor-target over time. Results with time series FLIR data of a scene with an airborne helicopter and a ground target are provided.

Original language	English
Pages (from-to)	21-24
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	5
State	Published - 2003
Event	2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong Duration: Apr 6 2003 → Apr 10 2003

Cite this

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title = "Time series processing of FLIR imagery for MTI and change detection",

abstract = "This paper addresses the problem of calibrating FLIR images of a scene that are acquired at different time points to construct information for Moving Target Indication (MTI) and change detection. A signal model is developed to identify variations and imperfections of a FLIR sensor in time. This model is utilized to compensate for relatively slow variations of a bias in the FLIR sensor via a Fourier-based processing. Furthermore, a two-dimensional adaptive filtering method is developed to compensate for variations of Image Point Response (IPR) of a FLIR sensor as well as sub-pixel changes in the relative coordinates of the sensor-target over time. Results with time series FLIR data of a scene with an airborne helicopter and a ground target are provided.",

author = "Mehrdad Soumekh and Young, \{S. Susan\} and Nasrabadi, \{Nasser M.\}",

year = "2003",

language = "English",

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pages = "21--24",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "0736-7791",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2003 IEEE International Conference on Accoustics, Speech, and Signal Processing ; Conference date: 06-04-2003 Through 10-04-2003",

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T1 - Time series processing of FLIR imagery for MTI and change detection

AU - Soumekh, Mehrdad

AU - Young, S. Susan

AU - Nasrabadi, Nasser M.

PY - 2003

Y1 - 2003

N2 - This paper addresses the problem of calibrating FLIR images of a scene that are acquired at different time points to construct information for Moving Target Indication (MTI) and change detection. A signal model is developed to identify variations and imperfections of a FLIR sensor in time. This model is utilized to compensate for relatively slow variations of a bias in the FLIR sensor via a Fourier-based processing. Furthermore, a two-dimensional adaptive filtering method is developed to compensate for variations of Image Point Response (IPR) of a FLIR sensor as well as sub-pixel changes in the relative coordinates of the sensor-target over time. Results with time series FLIR data of a scene with an airborne helicopter and a ground target are provided.

AB - This paper addresses the problem of calibrating FLIR images of a scene that are acquired at different time points to construct information for Moving Target Indication (MTI) and change detection. A signal model is developed to identify variations and imperfections of a FLIR sensor in time. This model is utilized to compensate for relatively slow variations of a bias in the FLIR sensor via a Fourier-based processing. Furthermore, a two-dimensional adaptive filtering method is developed to compensate for variations of Image Point Response (IPR) of a FLIR sensor as well as sub-pixel changes in the relative coordinates of the sensor-target over time. Results with time series FLIR data of a scene with an airborne helicopter and a ground target are provided.

UR - https://www.scopus.com/pages/publications/0141521510

M3 - Conference article

AN - SCOPUS:0141521510

SN - 0736-7791

VL - 5

SP - 21

EP - 24

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - 2003 IEEE International Conference on Accoustics, Speech, and Signal Processing

Y2 - 6 April 2003 through 10 April 2003

ER -

Time series processing of FLIR imagery for MTI and change detection

Abstract

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