Ground Moving Target detection Based on MIMO SAR systems

Lombardo, P.; Pastina, Debora; Turin, Fabrizio

doi:10.1109/jstars.2015.2461594

Cited by 15 publications

(6 citation statements)

References 34 publications

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“…The estimation of the motion components using this method was poor with the presence of the noise. Lombardo et al (2015) modeled a method, termed as multiple-input multiple-output approach. The method rendered the ability to permit the removal of a reliable background and offered a reliable environment in detecting the objects.…”

Section: Literature Surveymentioning

confidence: 99%

Fuzzy-based MTD

Jaya

Krishna

2020

DTA

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Purpose Synthetic aperture radar exploits the receiving signals in the antenna for detecting the moving targets and estimates the motion parameters of the moving objects. The limitation of the existing methods is regarding the poor power density such that those received signals are essentially to be transformed to the background ratio. To overcome this issue, fractional Fourier transform (FrFT) is employed in the moving target detection (MTD) process. The paper aims to discuss this issue. Design/methodology/approach The proposed MTD method uses the fuzzy decisive approach for detecting the moving target in the search space. The received signal and the FrFT of the received signal are subjected to the calculation of correlation using the ambiguity function. Based on the correlation, the location of the target is identified in the search space and is fed to the fuzzy decisive module, which detects the target location using the fuzzy linguistic rules. Findings The simulation is performed, and the analysis is carried out based on the metrics, like detection time, missed target rate, and MSE. From the analysis, it can be shown that the proposed Fuzzy-based MTD process detected the object in 5.0237 secs with a minimum missed target rate of 0.1210 and MSE of 23377.48. Originality/value The proposed Fuzzy-MTD is the application of the fuzzy rules for locating the moving target in search space based on the peak energy of the original received signal and FrFT of the original received signal.

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Section: Literature Surveymentioning

confidence: 99%

Fuzzy-based MTD

Jaya

Krishna

2020

DTA

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“…Rousseau et al [9], meanwhile, report on the first experimental results of a two-channel ScanSAR mode implemented on RADARSAT-2, thereby demonstrating wide-area GMTI. Finally, Lombardo et al [10] study GMTI using MIMO SAR systems.…”

Section: Selected Topics In Applied Earth Observations and Remote Sen...mentioning

confidence: 99%

“…4) New concepts: Refs. [7] and [10] address the innovative MIMO concept applied together with several different waveforms as a means to significantly improve the GMTI performance of future multichannel space-based SARs. Sikaneta and Gierull [12], in contrast, propose to improve the conventional stripmap mode through toggling of the azimuth beam in a "wiper" fashion together with multiple receive channels.…”

Section: Selected Topics In Applied Earth Observations and Remote Sen...mentioning

confidence: 99%

Foreword to the Special Issue on Multichannel Space-Based SAR

Gierull

Vachon

2015

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Semi-automatic detection and classification of large, metal-made maritime vessels has been a popular research topic in recent decades. State-of-the-art high resolution SAR data and methods from Polarimetry (e.g., [7][8][9]), sublook analysis (e.g., [10,11]), along-track interferometry (ATI; e.g., [12][13][14]), displaced phase center antenna (DPCA; e.g., [13,15]) or moving target indication (MTI; e.g., [16][17][18]) were tested with success in a broad variety of projects and applications. A number of recent international high-level research projects, such as SAGRES [19], Space Shepherd [20] and NEREIDS [21] included the objective of automatically detecting small, non-metallic maritime targets.…”

Section: Introductionmentioning

confidence: 99%

The InflateSAR Campaign: Evaluating SAR Identification Capabilities of Distressed Refugee Boats

et al. 2020

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Most of the recent research in the field of marine target detection has been concentrating on ships with large metallic parts. The focus of this work is on much more challenging targets represented by small rubber inflatables. They are of importance, since in recent years they have largely been used by migrants to cross the Mediterranean Sea between Libya and Europe. The motivation of this research is to mitigate the ongoing humanitarian crisis at Europe’s southern borders. These boats, packed with up to 200 people, are in no way suitable to cross the Mediterranean Sea or any other big water body and are in distress from the moment of departure. The establishment of a satellite-based surveillance infrastructure could considerably support search and rescue missions in the Mediterranean Sea, reduce the number of such boats being missed and mitigate the ongoing death in the open ocean. In this work we describe and analyze data from the InflateSAR acquisition campaign, wherein we gathered multiple-platform SAR imagery of an original refugee inflatable. The test site for this campaign is a lake which provides background clutter that is more predictable. The analysis considered a sum of experiments, enabling investigations of a broad range of scene settings, such as the vessel’s orientation, superstructures and speed. We assess their impact on the detectability of the chosen target under different sensor parameters, such as polarimetry, resolution and incidence angle. Results show that TerraSAR-X Spotlight and Stripmap modes offer good capabilities to potentially detect those types of boats in distress. Low incidence angles and cross-polarization decrease the chance of a successful identification, whereas a fully occupied inflatable, orthogonally oriented to the line of sight, seems to be better visible than an empty one. The polarimetric analyses prove the vessel’s different polarimetric behavior in comparison with the water surface, especially when it comes to entropy. The analysis considered state-of-the-art methodologies with single polarization and dual polarization channels. Finally, different metrics are used to discuss whether and to which extent the results are applicable to other open ocean datasets. This paper does not introduce any vessel detection or classification algorithm from SAR images. Rather, its results aim at paving the way to the design and the development of a specially tailored detection algorithm for small rubber inflatables.

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Ground Moving Target detection Based on MIMO SAR systems

Cited by 15 publications

References 34 publications

Fuzzy-based MTD

Fuzzy-based MTD

Foreword to the Special Issue on Multichannel Space-Based SAR

The InflateSAR Campaign: Evaluating SAR Identification Capabilities of Distressed Refugee Boats

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