Implementation of Real-Time Space Target Detection and Tracking Algorithm for Space-Based Surveillance

Space-based target surveillance is important for aerospace safety. However, with the increasing complexity of the space environment, the stellar target and strong noise interference pose difficulties for space target detection. Simultaneously, it is hard to balance real-time processing with computat...

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Main Authors: Yueqi Su, Xin Chen, Gaorui Liu, Chen Cang, Peng Rao
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/12/3156
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author Yueqi Su
Xin Chen
Gaorui Liu
Chen Cang
Peng Rao
author_facet Yueqi Su
Xin Chen
Gaorui Liu
Chen Cang
Peng Rao
author_sort Yueqi Su
collection DOAJ
description Space-based target surveillance is important for aerospace safety. However, with the increasing complexity of the space environment, the stellar target and strong noise interference pose difficulties for space target detection. Simultaneously, it is hard to balance real-time processing with computational performance for the onboard processing platform owing to resource limitations. The heterogeneous multi-core architecture has corresponding processing capabilities, providing a hardware implementation platform with real-time and computational performance for space-based applications. This paper first developed a multi-stage joint detection and tracking model (MJDTM) for space targets in optical image sequences. This model combined an improved local contrast method and the Kalman filter to detect and track the potential targets and use differences in movement status to suppress the stellar targets. Then, a heterogeneous multi-core processing system based on a field-programmable gate array (FPGA) and digital signal processor (DSP) was established as the space-based image processing system. Finally, MJDTM was optimized and implemented on the above image processing system. The experiments conducted with simulated and actual image sequences examine the accuracy and efficiency of the MJDTM, which has a 95% detection probability while the false alarm rate is 10<sup>−4</sup>. According to the experimental results, the algorithm hardware implementation can detect targets in an image with 1024 × 1024 pixels in just 22.064 ms, which satisfies the real-time requirements of space-based surveillance.
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spelling doaj.art-0f80f9d656e94a7e902128e9025d8c202023-11-18T12:27:16ZengMDPI AGRemote Sensing2072-42922023-06-011512315610.3390/rs15123156Implementation of Real-Time Space Target Detection and Tracking Algorithm for Space-Based SurveillanceYueqi Su0Xin Chen1Gaorui Liu2Chen Cang3Peng Rao4Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, ChinaShanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, ChinaShanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, ChinaShanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, ChinaShanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, ChinaSpace-based target surveillance is important for aerospace safety. However, with the increasing complexity of the space environment, the stellar target and strong noise interference pose difficulties for space target detection. Simultaneously, it is hard to balance real-time processing with computational performance for the onboard processing platform owing to resource limitations. The heterogeneous multi-core architecture has corresponding processing capabilities, providing a hardware implementation platform with real-time and computational performance for space-based applications. This paper first developed a multi-stage joint detection and tracking model (MJDTM) for space targets in optical image sequences. This model combined an improved local contrast method and the Kalman filter to detect and track the potential targets and use differences in movement status to suppress the stellar targets. Then, a heterogeneous multi-core processing system based on a field-programmable gate array (FPGA) and digital signal processor (DSP) was established as the space-based image processing system. Finally, MJDTM was optimized and implemented on the above image processing system. The experiments conducted with simulated and actual image sequences examine the accuracy and efficiency of the MJDTM, which has a 95% detection probability while the false alarm rate is 10<sup>−4</sup>. According to the experimental results, the algorithm hardware implementation can detect targets in an image with 1024 × 1024 pixels in just 22.064 ms, which satisfies the real-time requirements of space-based surveillance.https://www.mdpi.com/2072-4292/15/12/3156space targetheterogeneous multi-core systemdetection and trackingMJDTMFPGADSP
spellingShingle Yueqi Su
Xin Chen
Gaorui Liu
Chen Cang
Peng Rao
Implementation of Real-Time Space Target Detection and Tracking Algorithm for Space-Based Surveillance
Remote Sensing
space target
heterogeneous multi-core system
detection and tracking
MJDTM
FPGA
DSP
title Implementation of Real-Time Space Target Detection and Tracking Algorithm for Space-Based Surveillance
title_full Implementation of Real-Time Space Target Detection and Tracking Algorithm for Space-Based Surveillance
title_fullStr Implementation of Real-Time Space Target Detection and Tracking Algorithm for Space-Based Surveillance
title_full_unstemmed Implementation of Real-Time Space Target Detection and Tracking Algorithm for Space-Based Surveillance
title_short Implementation of Real-Time Space Target Detection and Tracking Algorithm for Space-Based Surveillance
title_sort implementation of real time space target detection and tracking algorithm for space based surveillance
topic space target
heterogeneous multi-core system
detection and tracking
MJDTM
FPGA
DSP
url https://www.mdpi.com/2072-4292/15/12/3156
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