The High-Resolution Digital-Beamforming Airborne SAR System DBFSAR

Reigber, Andreas; Schreiber, Eric; Trappschuh, K.; Pasch, Sebastian; Müller, Gerhard; Kirchner, Daniel; Geßwein, Daniel; Schewe, Stefan; Nottensteiner, Anton; Limbach, Markus; Schreiber, Alicja; Rommel, Tobias; Horn, Ralf; Jäger, Marc; Scheiber, Rolf; Baumgartner, Stefan V.; Joshi, Sushil Kumar; Silva, André Barros Cardoso da; Moreira, Alberto

doi:10.3390/rs12111710

Cited by 22 publications

(18 citation statements)

References 30 publications

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“…In November 2019, a multichannel flight campaign using DLR's DBFSAR system was carried out in the North Sea near Cuxhaven, Germany. More details related to the radar sensor and the multichannel data can be found in [22]. The aircraft was flying at an altitude of approximately 2400 m above ground and was also equipped with a dual-channel AIS receiver.…”

Section: Geocoding Results Using Multichannel Datamentioning

confidence: 99%

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Tracking and Track Management of Extended Targets in Range-Doppler Using Range-Compressed Airborne Radar Data

Joshi

Baumgartner

Krieger

2022

IEEE Trans. Geosci. Remote Sensing

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Ship tracking facilitates a comprehensive insight into maritime traffic situations and ensures its safety and security. However, with the current operational surveillance systems, detecting several maritime threats is still a major challenge. In this article, we propose a supportive ship tracking concept using an airborne-based radar sensor. The proposed tracking algorithm is suitable for dense multitarget scenarios. Tracking is performed in the range-Doppler domain. The primary advantage of using the range-Doppler domain is that ships even with low radar cross section moving with certain line-of-sight velocity appear out of the clutter region, thus improving their detectability. In addition, a powerful track management system is also developed to handle false targets. The simulated and real experimental results from the DLR's airborne radar sensors, F-SAR and DBFSAR, are presented to prove the concept.

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Section: Geocoding Results Using Multichannel Datamentioning

confidence: 99%

“…In this article, the problem is briefly discussed with real experimental results. To validate the proposed range-Doppler-based tracking algorithm, the simulated and real linearly and circularly acquired experimental data from DLR's (German Aerospace Center) airborne F-SAR [21] and DBFSAR [22] system are presented.…”

Section: Introductionmentioning

confidence: 99%

Tracking and Track Management of Extended Targets in Range-Doppler Using Range-Compressed Airborne Radar Data

Joshi

Baumgartner

Krieger

2022

IEEE Trans. Geosci. Remote Sensing

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“…It is noticeable that a complex multiplication is much more complicated than real multiplication because it involves several real multiplications and additions in order to complete the operation. Equation (12) is the simplified version of twiddle factor which will be used to explain the operation of complex multiplier inside the butterfly computing unit.…”

Section: Complex Multipliermentioning

confidence: 99%

“…Now, SAR has been widely used and become an important tool in airborne as well as space borne radar systems for civilian and military users. The potential of SAR in a diverse range of applications such as sea and ice monitoring [1], mining [2], oil pollution monitoring [3], oceanography [4], snow monitoring [5], classification of earth terrain [6], automatic change detection for multitemporal images [7], and multipass Coherent Change Detection (CCD) in polarimetric radar image [8] have led to the development of a number of airborne and spaceborne SAR systems [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Fpga-Based FFT Co-Processor Using Verilog Hardware Description Language

Lee¹,

Chan²,

Koo³

2021

PIER B

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In this research project, the hardware implementation of a Field-Programmable Gate Array (FPGA) based Fast Fourier Transform (FFT) will be carried out by using Verilog Hardware Description Language (HDL). Since FFT serves as the core for the Range Doppler Algorithm (RDA) in Synthetic Aperture Radar (SAR) processing, it is of paramount importance to evaluate the algorithm and its computational complexity for the design of an efficient FFT hardware architecture. The design process and Verilog hardware description language which is used to describe and model a digital FPGA-based SAR processor will be introduced. Detailed explanation of the hardware implementation for FFT and Inverse Fast Fourier Transform (IFFT) in SAR processing are thus presented. The performance evaluations of the proposed processors including the comparison of the proposed processor with MATLAB-based processor, timing considerations of the processor, and lastly the hardware resources usage considerations are delivered at the end of this paper.

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“…Therefore, it is more difficult to install on a portable UAV platform to obtain the target area information at the first time in applications for emergency rescue. Secondly, the resolution of SAR image is much lower than UAV optical image, and it cannot provide color information such as UAV optical image [10]. This makes it inferior to UAV images in reflecting the detailed information of the target area.…”

Section: Introductionmentioning

confidence: 99%

SUNet: Change Detection for Heterogeneous Remote Sensing Images from Satellite and UAV Using a Dual-Channel Fully Convolution Network

Shao

Chen

et al. 2021

Remote Sensing

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Change Detection in heterogeneous remote sensing images plays an increasingly essential role in many real-world applications, e.g., urban growth tracking, land use monitoring, disaster evaluation and damage assessment. The objective of change detection is to identify changes of geo-graphical entities or phenomena through two or more bitemporal images. Researchers have invested a lot in the homologous change detection and yielded fruitful results. However, change detection between heterogenous remote sensing images is still a great challenge, especially for change detection of heterogenous remote sensing images obtained from satellites and Unmanned Aerial Vehicles (UAV). The main challenges in satellite-UAV change detection tasks lie in the intensive difference of color for the same ground objects, various resolutions, the parallax effect and image distortion caused by different shooting angles and platform altitudes. To address these issues, we propose a novel method based on dual-channel fully convolution network. First, in order to alleviate the influence of differences between heterogeneous images, we employ two different channels to map heterogeneous remote sensing images from satellite and UAV, respectively, to a mutual high dimension latent space for the downstream change detection task. Second, we adopt Hough method to extract the edge of ground objects as auxiliary information to help the change detection model to pay more attention to shapes and contours, instead of colors. Then, IoU-WCE loss is designed to deal with the problem of imbalanced samples in change detection task. Finally, we conduct extensive experiments to verify the proposed method using a new Satellite-UAV heterogeneous image data set, named HTCD, which is annotated by us and has been open to public. The experimental results show that our method significantly outperforms the state-of-the-art change detection methods.

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The High-Resolution Digital-Beamforming Airborne SAR System DBFSAR

Cited by 22 publications

References 30 publications

Tracking and Track Management of Extended Targets in Range-Doppler Using Range-Compressed Airborne Radar Data

Tracking and Track Management of Extended Targets in Range-Doppler Using Range-Compressed Airborne Radar Data

Design and Implementation of Fpga-Based FFT Co-Processor Using Verilog Hardware Description Language

SUNet: Change Detection for Heterogeneous Remote Sensing Images from Satellite and UAV Using a Dual-Channel Fully Convolution Network

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