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Publications (10 of 89) Show all publications
Vu, V. T., Pettersson, M., Machado, R., Dammert, P. & Hellsten, H. (2017). False Alarm Reduction in Wavelength-Resolution SAR Change Detection Using Adaptive Noise Canceler. IEEE Transactions on Geoscience and Remote Sensing, 55(1), 591-599.
Open this publication in new window or tab >>False Alarm Reduction in Wavelength-Resolution SAR Change Detection Using Adaptive Noise Canceler
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2017 (English)In: IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, E-ISSN 1558-0644, Vol. 55, no 1, 591-599 p.Article in journal (Refereed) Published
Abstract [en]

This paper introduces a method to reduce false alarms in wavelength-resolution synthetic aperture radar (SAR) change detection and aims at very high frequency-band systems like the Coherent All Radio Band System (CARABAS). The false alarms are usually caused by the elongated structures, such as power lines and fences, which stand out from the background. The responses of elongated structures are sensitive to flight path. The introduced method aims at minimizing the false alarms caused by the elongated structures and is based on the well-known adaptive processing mechanism, i.e., the so-called adaptive noise canceler (ANC) where a separate reference signal is required. The changes between measurements are considered by the input signal of ANC while the separate reference signal comes from the measurements without change. Hence, the method requires three SAR images associated with three measurements, with no changes between two of them. The reference data for the study are provided by CARABAS. The experimental results indicate that the method can reduce false alarms significantly and provide high probability of detection (≥98%). The experimental results also show that the method still works well even in the case where the flight tracks of the SAR system in the change detection measurements are slightly different.

Keyword
Adaptive signal processing; change detection; statistics; synthetic aperture radar (SAR)
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-13888 (URN)10.1109/TGRS.2016.2611684 (DOI)000391527900046 ()
Available from: 2017-02-21 Created: 2017-02-21 Last updated: 2017-11-29Bibliographically approved
Vu, V. T., Pettersson, M. & thomas, S. (2017). Moving Target Focusing in SAR Image with Known Normalized Relative Speed. IEEE Transactions on Aerospace and Electronic Systems, 53(2), 854-861.
Open this publication in new window or tab >>Moving Target Focusing in SAR Image with Known Normalized Relative Speed
2017 (English)In: IEEE Transactions on Aerospace and Electronic Systems, ISSN 0018-9251, E-ISSN 1557-9603, Vol. 53, no 2, 854-861 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents the moving target focusing method, whichallows focusing moving targets in complex synthetic aperture radar(SAR) images without raw data. The method is developed on the rangemigration algorithm, where focusing moving target is an interpolationstep in the wave domain. The simulated results are provided in thepaper to illustrate the proposed method whereas the experimentalresults show its practicality. The method can be flexibly applied fromsmall area to the whole SAR scene.

Place, publisher, year, edition, pages
IEEE, 2017
Keyword
Engineering, Aerospace; Engineering, Electrical & Electronic; Telecommunications
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-14153 (URN)10.1109/TAES.2017.2665358 (DOI)000400905700026 ()
Available from: 2017-05-08 Created: 2017-05-08 Last updated: 2017-06-13Bibliographically approved
Vu, V. T., Pettersson, M., Gomes, N., Dammert, P. & Hellsten, H. (2017). Wavelength-resolution SAR change detection with constant false alarm rate. In: 2017 IEEE Radar Conference, RadarConf 2017: . Paper presented at 2017 IEEE Radar Conference, RadarConf, Seattle (pp. 1504-1508). Institute of Electrical and Electronics Engineers Inc..
Open this publication in new window or tab >>Wavelength-resolution SAR change detection with constant false alarm rate
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2017 (English)In: 2017 IEEE Radar Conference, RadarConf 2017, Institute of Electrical and Electronics Engineers Inc. , 2017, 1504-1508 p.Conference paper, Published paper (Refereed)
Abstract [en]

The paper introduces an incoherent change detection algorithm with constant false alarm rate (CFAR). The algorithm is based on a CFAR detector that preceded with an adaptive noise smoothing filter while the input of the filter is preliminary changes retrieved from a subtraction of surveillance SAR image to reference SAR image. The algorithm is tested with 24 data sets provided by CARABAS. The average probability of detection calculated for 1200 deployed vehicles is up to 96% while the false alarm rate calculated for an area of 288 square kilometers is only 0.15 per square kilometer. In our test, the algorithm did not require a longer processing time than other wavelength-resolution SAR change detection algorithms. Based on these evaluations, the introduced algorithm is seen to be effective. © 2017 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2017
Series
IEEE Radar Conference, ISSN 1097-5764
Keyword
Alarm systems, Errors, Radar, Radar imaging, Signal detection, Adaptive noise, Change detection, Change detection algorithms, Constant false alarm rate, False alarm rate, Probability of detection, Processing time, Wavelength resolution, Synthetic aperture radar
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing
Identifiers
urn:nbn:se:bth-15011 (URN)10.1109/RADAR.2017.7944445 (DOI)000405307600286 ()2-s2.0-85021454303 (Scopus ID)9781467388238 (ISBN)
Conference
2017 IEEE Radar Conference, RadarConf, Seattle
Available from: 2017-08-23 Created: 2017-08-23 Last updated: 2017-08-24Bibliographically approved
Javadi, M. S., Dahl, M. & Pettersson, M. (2016). Change detection in aerial images using a Kendall's TAU distance pattern correlation. In: PROCEEDINGS OF THE 2016 6TH EUROPEAN WORKSHOP ON VISUAL INFORMATION PROCESSING (EUVIP): . Paper presented at 2016 6th European Workshop on Visual Information Processing (EUVIP), Marseille. IEEE.
Open this publication in new window or tab >>Change detection in aerial images using a Kendall's TAU distance pattern correlation
2016 (English)In: PROCEEDINGS OF THE 2016 6TH EUROPEAN WORKSHOP ON VISUAL INFORMATION PROCESSING (EUVIP), IEEE, 2016Conference paper, Published paper (Refereed)
Abstract [en]

Change detection in aerial images is the core of many remote sensing applications to analyze the dynamics of a wide area on the ground. In this paper, a remote sensing method is proposed based on viewpoint transformation and a modified Kendall rank correlation measure to detect changes in oblique aerial images. First, the different viewpoints of the aerial images are compromised and then, a local pattern descriptor based on Kendall rank correlation coefficient is introduced. A new distance measure referred to as Kendall's Tau-d (Tau distance) coefficient is presented to determine the changed regions. The developed system is applied on oblique aerial images with very low aspect angles that obtained using an unmanned aerial vehicle in two different days with drastic change in illumination and weather conditions. The experimental results indicate the robustness of the proposed method to variant illumination, shadows and multiple viewpoints for change detection in aerial images.

Place, publisher, year, edition, pages
IEEE, 2016
Keyword
Aerial images, change detection, Kendall rank correlation, optical remote sensing
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-13878 (URN)10.1109/EUVIP.2016.7764604 (DOI)000391630800023 ()978-1-5090-2781-1 (ISBN)
Conference
2016 6th European Workshop on Visual Information Processing (EUVIP), Marseille
Available from: 2017-02-03 Created: 2017-02-03 Last updated: 2017-02-21Bibliographically approved
Thomas, S., Vu, V. T. & Pettersson, M. (2016). Experimental result for SAR GMTI using monostatic pursuit mode of TerraSAR-X and TanDEM-X on staring spotlight images. In: Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar. Paper presented at 11th European Conference on Synthetic Aperture Radar, EUSAR,Hamburg (pp. 207-210). IEEE, Article ID 7559278.
Open this publication in new window or tab >>Experimental result for SAR GMTI using monostatic pursuit mode of TerraSAR-X and TanDEM-X on staring spotlight images
2016 (English)In: Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar, IEEE, 2016, 207-210 p., 7559278Conference paper, Published paper (Refereed)
Abstract [en]

TerraSAR-X and TanDEM-X is able to fly in monostatic pursuit mode, a formation with the satellites in identic orbit displaced in along-Track of a distance corresponding to 10 s delay. Such formation gives e.g. The ability to detect very slow targets or targets moving only between measurements. This can be performed using Change Detection (CD) and/or the Detection of Moving Targets by Focusing (DMTF) technique. A combination of DMTF and CD is promising. To investigate the applicability of the methods for moving target detection, an experiment was performed with TerraSAR-X and TanDEM-X in monostatic pursuit mode and several deployed targets. © VDE VERLAG GMBH · Berlin · Offenbach.

Place, publisher, year, edition, pages
IEEE, 2016
Series
EUSAR Proceedings, ISSN 2197-4403
Keyword
Radar, Radar imaging, Satellites, Target tracking, Change detection, Monostatic, Moving target detection, Moving targets, TanDEM-X, TerraSAR-X, Synthetic aperture radar
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-13650 (URN)000388020600048 ()2-s2.0-85001052393 (Scopus ID)9783800742288 (ISBN)
Conference
11th European Conference on Synthetic Aperture Radar, EUSAR,Hamburg
Available from: 2016-12-21 Created: 2016-12-21 Last updated: 2017-06-16Bibliographically approved
Vu, V. T., Pettersson, M. & Sjögren, T. (2016). Experimental results on focusing moving targets in TerraSAR-X and TanDEM-X images. In: IEEE Radar Conference: . Paper presented at IEEE Radar Conference, RadarConf 2016; Philadelphia (pp. 874-878). IEEE Press.
Open this publication in new window or tab >>Experimental results on focusing moving targets in TerraSAR-X and TanDEM-X images
2016 (English)In: IEEE Radar Conference, IEEE Press, 2016, 874-878 p.Conference paper, Published paper (Refereed)
Abstract [en]

Moving targets appear in TerraSAR-X and TanDEM-X images in the form of elliptic or hyperbolic curves but they can be approximated to be lines. We present here the experimental results on refocusing moving targets directly in TerraSAR-X and TanDEM-X images. The refocusing method is developed from the Range Migration algorithm and the concept of normalized relative speed. The experimental results show that the target in TerraSAR-X and TanDEM-X images is well focused to the original shape. Motion parameters of the moving target can be further estimated thank to the pursuit mode of TerraSAR-X and TanDEM-X.

Place, publisher, year, edition, pages
IEEE Press, 2016
Series
IEEE Radar Conference, ISSN 1097-5764
Keyword
Radar, Hyperbolic curves; Motion parameters; Moving targets; Range migration algorithms; Relative speed; TanDEM-X; TerraSAR-X, Satellites
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-13110 (URN)10.1109/RADAR.2016.7485232 (DOI)000386327800170 ()2-s2.0-84978285732 (Scopus ID)9781509008636 (ISBN)
Conference
IEEE Radar Conference, RadarConf 2016; Philadelphia
Note

Conference of 2016 IEEE Radar Conference, RadarConf 2016 ; Conference Date: 2 May 2016 Through 6 May 2016; Conference Code:122195

Available from: 2016-10-04 Created: 2016-10-03 Last updated: 2016-11-18Bibliographically approved
Vu, V. T. & Pettersson, M. (2016). Fast Backprojection Algorithms Based on Subapertures and Local Polar Coordinates for General Bistatic Airborne SAR Systems. IEEE Transactions on Geoscience and Remote Sensing, 54(5), 2706-2712.
Open this publication in new window or tab >>Fast Backprojection Algorithms Based on Subapertures and Local Polar Coordinates for General Bistatic Airborne SAR Systems
2016 (English)In: IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, E-ISSN 1558-0644, Vol. 54, no 5, 2706-2712 p.Article in journal (Refereed) Published
Abstract [en]

This paper introduces a bistatic fast backprojection synthetic aperture radar (SAR) algorithm that is available for different bistatic geometries. The proposed algorithm is tested with the bistatic CARABAS-like data, and the results indicate that the algorithm is a good candidate for bistatic SAR data processing. The image quality measurements are quite similar to the referenced values obtained with the bistatic global backprojection algorithm. That is, the peak sidelobe ratio (PSLR) is -13.7 dB in comparison to the referenced PSLR of -13.8 dB. The half-power beamwidths (HPBWs) measured on the cuts in x and y and the direction where the peak sidelobes locate are 2.8, 3.7, and 3.5 m, respectively, which are approximate to the referenced HPBWs. The small differences in the measured results mainly come from the interpolation step of the algorithm.

Keyword
Algorithm, bistatic, fast backprojection, polar coordinates, synthetic aperture radar (SAR)
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-11922 (URN)10.1109/TGRS.2015.2504787 (DOI)000374968500017 ()
Available from: 2016-05-30 Created: 2016-05-30 Last updated: 2017-11-30Bibliographically approved
Molin, R., Fabrin, A., Sperotto, P., Alves, D., Bayer, F., Machado, R., . . . Ulander, L. (2016). Iterative Change Detection Algorithm for Low-Frequency UWB SAR. In: : . Paper presented at XXXIV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT 2016), Santarém, Brazil (pp. 654-658). .
Open this publication in new window or tab >>Iterative Change Detection Algorithm for Low-Frequency UWB SAR
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2016 (English)Conference paper, Published paper (Refereed)
National Category
Signal Processing Remote Sensing Other Engineering and Technologies not elsewhere specified
Identifiers
urn:nbn:se:bth-13875 (URN)
Conference
XXXIV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT 2016), Santarém, Brazil
Available from: 2017-02-03 Created: 2017-02-03 Last updated: 2017-02-24Bibliographically approved
Natanael, R. G., Viet Thuy, V., Mats, P., Patrik, D. & Hans, H. (2016). Likelihood ratio test for incoherent wavelength-resolution SAR change detection. In: : . Paper presented at CIE International Radar Conference, Guangzhou. IEEE.
Open this publication in new window or tab >>Likelihood ratio test for incoherent wavelength-resolution SAR change detection
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2016 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2016
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-13846 (URN)
Conference
CIE International Radar Conference, Guangzhou
Available from: 2017-01-30 Created: 2017-01-30 Last updated: 2017-03-08Bibliographically approved
Vu, V. T., Pettersson, M. & Sjögren, T. (2016). Local detection of moving target by focusing in SAR images. In: IEEE Radar Conference: . Paper presented at IEEE Radar Conference, RadarConf 2016; Philadelphia (pp. 827-832). IEEE Press.
Open this publication in new window or tab >>Local detection of moving target by focusing in SAR images
2016 (English)In: IEEE Radar Conference, IEEE Press, 2016, 827-832 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present here a moving target detection method so-called local detection of moving target by focusing. The term local implies that the method only works with areas of interest but not whole SAR scene whereas the term focusing indicates that the method is based on the concept of relative movement. The mathematical background of the method is presented in details. The introduced method is then examined with simulated and experimental SAR data to evaluate the method as well as to show the practicality of the method. The reference SAR system for this study is CARABAS, an airborne UWB low frequency SAR system. The method shows a number of advantages in comparison to the original version.

Place, publisher, year, edition, pages
IEEE Press, 2016
Series
IEEE Radar Conference, ISSN 2375-5318
Keyword
Focusing; Radar; Radar imaging; Target tracking, CARABAS; Low-frequency; Moving target detection; Moving targets; Relative movement; SAR data; SAR Images; SAR system, Synthetic aperture radar
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-13109 (URN)10.1109/RADAR.2016.7485223 (DOI)000386327800161 ()2-s2.0-84978245693 (Scopus ID)9781509008636 (ISBN)
Conference
IEEE Radar Conference, RadarConf 2016; Philadelphia
Note

Conference of 2016 IEEE Radar Conference, RadarConf 2016 ; Conference Date: 2 May 2016 Through 6 May 2016; Conference Code:122195

Available from: 2016-10-04 Created: 2016-10-03 Last updated: 2017-04-03Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-6643-312x

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