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Vu, Viet Thuy
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Publications (10 of 76) Show all publications
Vu, V. T., Gomes, N. R., Pettersson, M., Dämmert, P. & Hellsten, H. (2019). Bivariate Gamma Distribution for Wavelength-Resolution SAR Change Detection. IEEE Transactions on Geoscience and Remote Sensing, 57(1), 473-481
Open this publication in new window or tab >>Bivariate Gamma Distribution for Wavelength-Resolution SAR Change Detection
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2019 (English)In: IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, E-ISSN 1558-0644, Vol. 57, no 1, p. 473-481Article in journal (Refereed) Published
Abstract [en]

A gamma probability density function (pdf) is shown to be an alternative to model the distribution of the magnitudes of high-resolution, i.e., wavelength-resolution, synthetic aperture radar (SAR) images. As investigated in this paper, it is more appropriate and more realistic statistical in comparison with, e.g., Rayleigh. A bivariate gamma pdf is considered for developing a statistical hypothesis test for wavelength-resolution incoherent SAR change detection. The practical issues in implementation of statistical hypothesis test, such as assumptions on target magnitudes, estimations for scale and shape parameters, and implementation of modified Bessel function, are addressed. This paper also proposes a simple processing scheme for incoherent change detection to validate the proposed statistical hypothesis test. The proposal was experimented with 24 CARABAS data sets. With an average detection probability of 96%, the false alarm rate is only 0.47 per square kilometer. IEEE

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2019
Keywords
Bivariate gamma, CARABAS, change detection, synthetic aperture radar (SAR)., Probability density function, Probability distributions, Radar imaging, Statistical tests, Tracking radar, Bivariate, Bivariate gamma distribution, Probability density function (pdf), Scale and shape parameters, Statistical hypothesis test, Synthetic aperture radar (SAR) images, Synthetic aperture radar
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-16936 (URN)10.1109/TGRS.2018.2856926 (DOI)000455089000036 ()2-s2.0-85051396922 (Scopus ID)
Available from: 2018-08-24 Created: 2018-08-24 Last updated: 2019-01-28Bibliographically approved
Vu, V. T., Pettersson, M., Sjögren, T. & Gustavsson, A. (2018). A hybrid GMTI method for reliable detec ion results in SAR images. In: Bao, VNQ Duy, TT (Ed.), PROCEEDINGS OF 2018 2ND INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SIGNAL PROCESSING, TELECOMMUNICATIONS & COMPUTING (SIGTELCOM 2018): . Paper presented at Conference: 2nd International Conference on Recent Advances in Signal Processing, Telecommunications and Computing (SigTelCom), Ho Chi Minh, JAN 29-31 (pp. 73-78). IEEE
Open this publication in new window or tab >>A hybrid GMTI method for reliable detec ion results in SAR images
2018 (English)In: PROCEEDINGS OF 2018 2ND INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SIGNAL PROCESSING, TELECOMMUNICATIONS & COMPUTING (SIGTELCOM 2018) / [ed] Bao, VNQ Duy, TT, IEEE , 2018, p. 73-78Conference paper, Published paper (Refereed)
Abstract [en]

Stand-alone synthetic aperture radar (SAR) ground moving target indication (GNITI) methods have both advantages and disadvantages. This paper introduces a hybrid SAR GMTI method that is based on two well-known methods: space time adaptive processing (STAP) and moving target detection by focusing (MTDF). The input of the proposed hybrid method is two time separated complex radar images. The output is detected ground moving targets, the target normalized relative speeds (NRS), and focused images of the detected targets. In the paper, we provide the mathematical background behind the hybrid SAR GMTI method in details. We also provide some experimental results for validating the proposed method. The data for the experiments was acquired in early 2015 by TanDEMX and TerraSAR-X operating in monostatic pursuit mode. The ground scene where the measurements were conducted is around Mantorp, west of Linkoping, Sweden.

Place, publisher, year, edition, pages
IEEE, 2018
National Category
Telecommunications Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-17697 (URN)000458556800014 ()978-1-5386-2976-5 (ISBN)
Conference
Conference: 2nd International Conference on Recent Advances in Signal Processing, Telecommunications and Computing (SigTelCom), Ho Chi Minh, JAN 29-31
Available from: 2019-03-07 Created: 2019-03-07 Last updated: 2019-03-08Bibliographically approved
Vu, V. T., Pettersson, M., Sjögren, T. & Gustavsson, A. (2018). A hybrid GMTI method for reliable detection results in SAR images. In: Proceedings - 2018 2nd International Conference on Recent Advances in Signal Processing, Telecommunications and Computing, SIGTELCOM 2018: . Paper presented at 2nd International Conference on Recent Advances in Signal Processing, Telecommunications and Computing, SIGTELCOM, Ho Chi Minh City (pp. 73-78). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>A hybrid GMTI method for reliable detection results in SAR images
2018 (English)In: Proceedings - 2018 2nd International Conference on Recent Advances in Signal Processing, Telecommunications and Computing, SIGTELCOM 2018, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 73-78Conference paper, Published paper (Refereed)
Abstract [en]

Stand-alone synthetic aperture radar (SAR) ground moving target indication (GMTI) methods have both advantages and disadvantages. This paper introduces a hybrid SAR GMTI method that is based on two well-known methods: space time adaptive processing (STAP) and moving target detection by focusing (MTDF). The input of the proposed hybrid method is two time separated complex radar images. The output is detected ground moving targets, the target normalized relative speeds (NRS), and focused images of the detected targets. In the paper, we provide the mathematical background behind the hybrid SAR GMTI method in details. We also provide some experimental results for validating the proposed method. The data for the experiments was acquired in early 2015 by TanDEM-X and TerraSAR-X operating in monostatic pursuit mode. The ground scene where the measurements were conducted is around Mantorp, west of Linköping, Sweden. © 2018 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2018
Keywords
Radar signal processing, Space time adaptive processing, Synthetic aperture radar, Ground moving target indication, Ground moving targets, Hybrid method, Monostatic, Moving target detection, Reliable detection, Stand -alone, TerraSAR-X, Radar imaging
National Category
Signal Processing Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-16538 (URN)10.1109/SIGTELCOM.2018.8325809 (DOI)2-s2.0-85047862168 (Scopus ID)9781538629765 (ISBN)
Conference
2nd International Conference on Recent Advances in Signal Processing, Telecommunications and Computing, SIGTELCOM, Ho Chi Minh City
Available from: 2018-06-18 Created: 2018-06-18 Last updated: 2018-06-18Bibliographically approved
Palm, B., Alves, D., Vu, V. T., Pettersson, M., Bayer, F., Cintra, R., . . . Hellsten, H. (2018). Autoregressive model for multi-pass SAR change detection based on image stacks. In: Bovolo F.,Bruzzone L. (Ed.), Proceedings of SPIE - The International Society for Optical Engineering: . Paper presented at Image and Signal Processing for Remote Sensing XXIV 2018, Berlin, 10 September 2018 through 12 September 2018. SPIE, 10789, Article ID 1078916.
Open this publication in new window or tab >>Autoregressive model for multi-pass SAR change detection based on image stacks
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2018 (English)In: Proceedings of SPIE - The International Society for Optical Engineering / [ed] Bovolo F.,Bruzzone L., SPIE , 2018, Vol. 10789, article id 1078916Conference paper, Published paper (Refereed)
Abstract [en]

Change detection is an important synthetic aperture radar (SAR) application, usually used to detect changes on the ground scene measurements in different moments in time. Traditionally, change detection algorithm (CDA) is mainly designed for two synthetic aperture radar (SAR) images retrieved at different instants. However, more images can be used to improve the algorithms performance, witch emerges as a research topic on SAR change detection. Image stack information can be treated as a data series over time and can be modeled by autoregressive (AR) models. Thus, we present some initial findings on SAR change detection based on image stack considering AR models. Applying AR model for each pixel position in the image stack, we obtained an estimated image of the ground scene which can be used as a reference image for CDA. The experimental results reveal that ground scene estimates by the AR models is accurate and can be used for change detection applications. © 2018 SPIE.

Place, publisher, year, edition, pages
SPIE, 2018
Series
Proceedings of SPIE, ISSN 0277-786X
Keywords
AR models, Change detection, SAR, Time series, Image enhancement, Radar measurement, Remote sensing, Synthetic aperture radar, Auto regressive models, Change detection algorithms, Pixel position, Reference image, Research topics, Synthetic aperture radar (SAR) images, Radar imaging
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-17475 (URN)10.1117/12.2325661 (DOI)000455305000036 ()2-s2.0-85059005687 (Scopus ID)9781510621619 (ISBN)
Conference
Image and Signal Processing for Remote Sensing XXIV 2018, Berlin, 10 September 2018 through 12 September 2018
Available from: 2019-01-09 Created: 2019-01-09 Last updated: 2019-01-28Bibliographically approved
Sievert, T., Rasch, J., Carlström, A., Pettersson, M. & Vu, V. T. (2018). Comparing reflection signatures in radio occultation measurements using the full spectrum inversion and phase matching methods. In: Comeron A.,Kassianov E.,Picard R.H.,Schafer K.,Weber K. (Ed.), PROCEEDINGS VOLUME 10786; Remote Sensing of Clouds and the Atmosphere XXIII: . Paper presented at Remote Sensing of Clouds and the Atmosphere XXIII 2018; Berlin; Germany; 12 September 2018 through 13 September 2018. SPIE - International Society for Optical Engineering, Article ID 107860A.
Open this publication in new window or tab >>Comparing reflection signatures in radio occultation measurements using the full spectrum inversion and phase matching methods
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2018 (English)In: PROCEEDINGS VOLUME 10786; Remote Sensing of Clouds and the Atmosphere XXIII / [ed] Comeron A.,Kassianov E.,Picard R.H.,Schafer K.,Weber K., SPIE - International Society for Optical Engineering, 2018, article id 107860AConference paper, Published paper (Refereed)
Abstract [en]

Global Navigation Satellite System Radio Occultation (GNSS-RO) is an important technique used to sound the Earth's atmosphere and provide data products to numerical weather prediction (NWP) systems as well as toclimate research. It provides a high vertical resolution and SI-traceability that are both valuable complements toother Earth observation systems. In addition to direct components refracted in the atmosphere, many received RO signals contain reflected components thanks to the specular and relatively smooth characteristics of the ocean. These reflected components can interfere the retrieval of the direct part of the signal, and can also contain meteorological information of their own, e.g., information about the refractivity at the Earth's surface. While the conventional method to detect such reflections is by using radio-holographic methods, it has been shown that it is possible to see reflections using wave optics inversion, specically while inspecting the amplitude of the output of phase matching (PM). The primary objective of this paper is to analyze the appearance of these reflections in the amplitude output from another wave optics algorithm, namely the much faster full spectrum inversion (FSI). PM and FSI are closely related algorithms - they both use the method of stationary phase to derive the bending angle from a measured signal. We apply our own implementation of FSI to the same GNSS-RO measurements that PM was previously applied to and show that the amplitudes of the outputs again indicate reflection in the surface of the ocean. Our results show that the amplitudes output from the FSI and PM algorithms are practically identical and that the reflection signatures thus appear equally well.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2018
Keywords
radio occultation, wave optics, re ections, full spectrum inversion
National Category
Meteorology and Atmospheric Sciences Signal Processing
Identifiers
urn:nbn:se:bth-17132 (URN)10.1117/12.2325386 (DOI)000453909700007 ()9781510621558 (ISBN)
Conference
Remote Sensing of Clouds and the Atmosphere XXIII 2018; Berlin; Germany; 12 September 2018 through 13 September 2018
Available from: 2018-10-16 Created: 2018-10-16 Last updated: 2019-01-10Bibliographically approved
Gomes, N., Dammert, P., Pettersson, M., Vu, V. T. & Hellsten, H. (2018). Comparison of the Rayleigh and K-Distributions for Application in Incoherent Change Detection. IEEE Geoscience and Remote Sensing Letters
Open this publication in new window or tab >>Comparison of the Rayleigh and K-Distributions for Application in Incoherent Change Detection
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2018 (English)In: IEEE Geoscience and Remote Sensing Letters, ISSN 1545-598X, E-ISSN 1558-0571Article in journal (Refereed) Epub ahead of print
Abstract [en]

The aim of this letter is to compare two incoherent change-detection algorithms for target detection in low-frequency ultrawideband (UWB) synthetic aperture radar (SAR) images. The considered UWB SAR operates in the frequency range from 20 to 90 MHz. Both approaches employ a likelihood ratio test according to the Neyman-Pearson criterion. First, the bivariate Rayleigh probability distribution is used to implement the likelihood ratio test function. This distribution is well known and has been used for change-detection algorithms in low-frequency UWB SAR with good results. Aiming to minimize the false alarm rate and taking into consideration that low-frequency UWB SAR images have high resolution compared to the transmitted wavelength, the second approach implements the test by using a bivariate K-distribution. This distribution has scale and shape parameters that can be used to adjust it to the data. No filter is applied to the data set images, and the results show that with a good statistical model, it is not needed to rely on filtering the data to decrease the number of false alarms. Therefore, we can have a better tradeoff between resolution and detection performance. IEEE

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2018
Keywords
Change detection, likelihood ratio test, synthetic aperture radar (SAR)., Errors, Probability distributions, Radar imaging, Signal detection, Ultra-wideband (UWB), Change detection algorithms, Detection performance, Likelihood ratio tests, Neyman - Pearson criterion, Number of false alarms, Scale and shape parameters, Synthetic aperture radar (SAR) images, Synthetic aperture radar
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-17458 (URN)10.1109/LGRS.2018.2881733 (DOI)2-s2.0-85058123374 (Scopus ID)
Available from: 2019-01-09 Created: 2019-01-09 Last updated: 2019-01-09Bibliographically approved
Vu, V. T. & Pettersson, M. (2018). Derivation of Bistatic SAR Resolution Equations Based on Backprojection. IEEE Geoscience and Remote Sensing Letters, 15(5), 694-698
Open this publication in new window or tab >>Derivation of Bistatic SAR Resolution Equations Based on Backprojection
2018 (English)In: IEEE Geoscience and Remote Sensing Letters, ISSN 1545-598X, E-ISSN 1558-0571, Vol. 15, no 5, p. 694-698Article in journal (Refereed) Published
Abstract [en]

This letter introduces ground-range and cross-range resolution equations for the side-looking bistatic synthetic aperture radar (SAR). The derivation is based on the backprojection integral and the method of stationary phase. The ground-range and cross-range resolution equations are provided in closed form, making them easy for calculation. They are, therefore, helpful for bistatic SAR system development. The derived ground-range and cross-range resolution equations are validated with the bistatic data simulated mainly using the parameters of the LORA system. IEEE

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2018
Keywords
Bistatic, resolution equation, stationary phase, synthetic aperture radar (SAR).
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-16025 (URN)10.1109/LGRS.2018.2810314 (DOI)000430730200012 ()2-s2.0-85043458813 (Scopus ID)
Available from: 2018-03-26 Created: 2018-03-26 Last updated: 2018-05-11Bibliographically approved
Vu, V. T. (2018). Local Detection of Moving Targets in SAR Image Based on NRS Hypotheses. IEEE Transactions on Geoscience and Remote Sensing, 56(10), 6101-6110
Open this publication in new window or tab >>Local Detection of Moving Targets in SAR Image Based on NRS Hypotheses
2018 (English)In: IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, E-ISSN 1558-0644, Vol. 56, no 10, p. 6101-6110Article in journal (Refereed) Published
Abstract [en]

Ground moving target indication (GMTI) is one of the important applications of synthetic aperture radar (SAR). This paper introduces a GMTI method for local detection of the ground moving targets in SAR image based on normalized relative speed (NRS) hypotheses. The input of the GMTI method is a complex SAR image where areas of interest for GMTI are locally selected. The output of the method includes the detected targets, the NRSs with respect to the SAR platform, the locations where the detected targets are focused, and the SAR images of the detected targets. The mathematical background of the GMTI method is presented in detail. The method is validated with the data delivered by the Coherent All-Radio Band Sensor, an airborne ultrawideband-ultrawidebeam low-frequency SAR system. The shortcomings of the introduced method are investigated and followed with the solutions. IEEE

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2018
Keywords
Azimuth, Clutter, Doppler effect, Focusing, Ground moving target indication (GMTI), History, likelihood-ratio, normalized relative speed (NRS), Synthetic aperture radar, synthetic aperture radar (SAR), Trajectory, ultrawideband ultrawidebeam (UWB), Clutter (information theory), Trajectories, Ultra-wideband (UWB), Complex SAR images, Ground moving target indication, Ground moving targets, Likelihood ratios, Low-frequency, Moving targets, Relative speed, Radar imaging
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-16335 (URN)10.1109/TGRS.2018.2831908 (DOI)000446300700040 ()2-s2.0-85047646188 (Scopus ID)
Available from: 2018-06-07 Created: 2018-06-07 Last updated: 2018-10-18Bibliographically approved
Vu, V. T. & Pettersson, M. (2018). Range migration algorithm for bistatic SAR. In: IEEE Radar Conference, (RadarConf 2018): . Paper presented at 2018 IEEE Radar Conference, RadarConf., Oklahoma City (pp. 665-669). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Range migration algorithm for bistatic SAR
2018 (English)In: IEEE Radar Conference, (RadarConf 2018), Institute of Electrical and Electronics Engineers Inc. , 2018, p. 665-669Conference paper, Published paper (Refereed)
Abstract [en]

The paper introduces a Range Migration algorithm for bistatic SAR data processing. The algorithm is developed on the available function representing the two-dimension Fourier transform of the bistatic SAR data and relationship between radar signal frequency and wave-numbers for bistatic SAR or the ω - k relationship. The algorithm is tested with the simulations using different SAR geometries for validation. Some inherit limits of the developed Range Migration algorithm and the possible solutions are also discussed in the paper. © 2018 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2018
Keywords
Data handling, Bistatic SAR, Radar signals, Range migration algorithms, Two-dimension, Wave numbers, Synthetic aperture radar
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-16911 (URN)10.1109/RADAR.2018.8378638 (DOI)000442172700118 ()2-s2.0-85049929099 (Scopus ID)978-1-5386-4167-5 (ISBN)
Conference
2018 IEEE Radar Conference, RadarConf., Oklahoma City
Available from: 2018-08-20 Created: 2018-08-20 Last updated: 2018-09-13Bibliographically approved
Vu, V. T., Pettersson, M., Dämmert, P. & Hellsten, H. (2018). Two-Dimensional Data Conversion for One-Dimensional Adaptive Noise Canceler in Low Frequency SAR Change Detection. IEEE Transactions on Aerospace and Electronic Systems, 54(5), 2611-2618
Open this publication in new window or tab >>Two-Dimensional Data Conversion for One-Dimensional Adaptive Noise Canceler in Low Frequency SAR Change Detection
2018 (English)In: IEEE Transactions on Aerospace and Electronic Systems, ISSN 0018-9251, E-ISSN 1557-9603, Vol. 54, no 5, p. 2611-2618Article in journal (Refereed) Published
Abstract [en]

One-dimensional (1-D) adaptive noise canceler (ANC) has been used for false alarm reduction in low frequency SAR change detection. The paper presents possibilities to process two-dimensional (2-D) data by an 1-D ANC. Beside concatenating the rows of 2-D data in a matrix form to convert it to 1-D data in a vector form, two conversion approaches are considered: concatenating the columns of 2-D data and local concatenation, i.e., the conversion to 1-D is performed locally on each block of the 2-D data. A ground object can occupy more than one row and/or more than one column of 2-D data. In addition, the properties in cross-range and range of an image are not the same. Thus, different conversion approaches may lead to different performance of an 1-D ANC and hence different change detection results. Among the considered approaches, the local concatenating approach is shown to provide slightly better performance in terms of probability of detection and false alarm rate. IEEE

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2018
Keywords
Adaptive signal processing, ANC, Azimuth, change detection, Frequency conversion, Matrix converters, Noise measurement, SAR, statistics, Synthetic aperture radar, Wires, Chemical detection, Errors, Matrix algebra, Optical frequency conversion, Signal processing, Spurious signal noise, Wire, Adaptive noise cancelers, False alarm reductions, Noise measurements, Probability of detection, Two Dimensional (2 D), Data handling
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-17002 (URN)10.1109/TAES.2018.2866742 (DOI)000447045700039 ()2-s2.0-85052685958 (Scopus ID)
Funder
Knowledge Foundation
Available from: 2018-09-13 Created: 2018-09-13 Last updated: 2018-10-30Bibliographically approved
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