Stray Light Suppression of Wide-Field Surveillance in Complicated Situations

Zhou, Dali; Wang, Xiaodong

doi:10.1109/access.2023.3234052

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…As the main task of SSA, spaceborne space-target-monitoring technology has received much attention. Under the space-based monitoring scenario, it is common to use wide-field view optical detection equipment to obtain comprehensive space environment information [5]. Moreover, the space target appears as a dim point in the image due to the long distance between the target and the focal plane of photoelectric equipment [6].…”

Section: Introduction 1backgroundmentioning

confidence: 99%

A Space Target Detection Method Based on Spatial–Temporal Local Registration in Complicated Backgrounds

Su,

Chen,

Cang

et al. 2024

Remote Sensing

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Human space exploration has brought a growing crowded operating environment for in-orbit spacecraft. Monitoring the space environment and detecting space targets with photoelectric equipment has extensive and realistic significance in space safety. In this study, a local spatial–temporal registration (LSTR) method is proposed to detect moving small targets in space. Firstly, we applied the local region registration to estimate the neighbor background motion model. Secondly, we analyzed the temporal local grayscale difference between the strong clutter and target region and measured the temporal local–central region difference to enhance the target. Then, the temporal pixel contrast map was calculated, which further retains the target signal and suppresses the residue clutter. Finally, a simple adaptive threshold segmentation algorithm was applied to the saliency map to segment the targets. Comparative experiments were conducted on four groups of image sequences to validate the efficiency and robustness of the algorithm. The experimental findings indicate that the proposed method performs well in target enhancement and clutter suppression under different scenarios.

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Section: Introduction 1backgroundmentioning

confidence: 99%

A Space Target Detection Method Based on Spatial–Temporal Local Registration in Complicated Backgrounds

Su,

Chen,

Cang

et al. 2024

Remote Sensing

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“…Stars are a crucial component of the deep space background and, like other space targets, appear as point sources in images [15,16]. However, stars are a significant source of false alarms in space target detection [17,18]. If the star background cannot be effectively suppressed, it can negatively impact the accuracy and real-time performance of the detection process [19,20].…”

Section: Introductionmentioning

confidence: 99%

Infrared Dim Star Background Suppression Method Based on Recursive Moving Target Indication

Zhang,

Rao,

Hong

et al. 2023

Remote Sensing

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Space-based infrared target detection can provide full-time and full-weather observation of targets, thus it is of significance in space security. However, the presence of stars in the background can severely affect the accuracy and real-time performance of infrared dim and small target detection, making star suppression a key technology and hot spot in the field of space target detection. The existing star suppression algorithms are all oriented towards the detection before track method and rely on the single image properties of the stars. They can only effectively suppress bright stars with a high signal-to-noise ratio (SNR). To address this problem, we propose a new method for infrared dim star background suppression based on recursive moving target indication (RMTI). Our proposed method is based on a more direct analysis of the image sequence itself, which will lead to more robust and accurate background suppression. The method first obtains the motion information of stars through satellite motion or key star registration. Then, the advanced RMTI algorithm is used to enhance the stars in the image. Finally, the mask of suppressing stars is generated by an accumulation frame adaptive threshold. The experimental results show that the algorithm has a less than 8.73% leakage suppression rate for stars with an SNR ≤ 2 and a false suppression rate of less than 2.3%. The validity of the proposed method is verified in real data. Compared with the existing methods, the method proposed in this paper can stably suppress stars with a lower SNR.

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Study on Stray Light Testing and Suppression Techniques for Large-Field of View Multispectral Space Optical Systems

Lu,

Xu,

Zhang

et al. 2024

IEEE Access

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To evaluate the ability of space optical systems to suppress off-axis stray light, this paper proposes a stray light testing method for large-field of view, multispectral spatial optical systems based on point source transmittance (PST). And a stray light testing platform was developed using a high-brightness simulated light source, large-aperture off-axis reflective collimator, high-precision positioning mechanism and a double column tank to evaluate the stray light PST index of spatial optical system. On the basis of theoretical analyses, a set of calibration lenses and stray light elimination structures such as hoods, baffle and stop are designed for the accuracy calibration of stray light testing systems. The theoretical PST values of the calibration lens at different off-axis angles are analyzed by Trace Pro software simulation and compared with the measured values to calibrate the accuracy of the system. The testing results show that the PST measurement range of the system reaches 10 -3 ~10 -10 when the off-axis angles of the calibration lens are in the range of ±5°±60°. The stray light test system has the advantages of wide working band, high automation and large dynamic range, and its test results can be used in the correction of lens hood and other applications.INDEX TERMS Multi-spectrum, large-field view, stray light, point source transmittance (PST), lens hood

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Stray Light Suppression of Wide-Field Surveillance in Complicated Situations

Cited by 3 publications

References 31 publications

A Space Target Detection Method Based on Spatial–Temporal Local Registration in Complicated Backgrounds

A Space Target Detection Method Based on Spatial–Temporal Local Registration in Complicated Backgrounds

Infrared Dim Star Background Suppression Method Based on Recursive Moving Target Indication

Study on Stray Light Testing and Suppression Techniques for Large-Field of View Multispectral Space Optical Systems

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