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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Vydáno v:Remote sensing (Basel, Switzerland) Ročník 15; číslo 12; s. 3156
Hlavní autoři: Su, Yueqi, Chen, Xin, Liu, Gaorui, Cang, Chen, Rao, Peng
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.06.2023
Témata:
Aerospace environments
Aerospace safety
Algorithms
Comparative analysis
Computer applications
Computer architecture
Computing time
detection and tracking
Digital imaging
Digital signal processing
DSP
Energy consumption
False alarms
Field programmable gate arrays
FPGA
Hardware
heterogeneous multi-core system
Identification and classification
Image contrast
Image processing
Image sequencing
Kalman filtering
Kalman filters
Methods
Microprocessors
MJDTM
monitoring
Morphology
Object recognition (Computers)
Pattern recognition
probability
Real time
Sequences
Space applications
Space debris
Space ships
space target
Space vehicles
Surveillance
Target detection
Tracking
Wavelet transforms
China
ISSN:2072-4292, 2072-4292
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Shrnutí: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 10−4. 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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ISSN:2072-4292
2072-4292
DOI:10.3390/rs15123156