Staircase-scene-based nonuniformity correction in aerial point target detection systems

Huo, Lijun; Zhou, Dabiao; Wang, Dejiang; Liu, Rang; He, Bin

doi:10.1364/ao.55.007149

Cited by 13 publications

(4 citation statements)

References 15 publications

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“…Thus the problem of solving NUC for detector arrays becomes that of solving NUC for two linear detectors. Substituting Equation (6) into Equation ( 7) to obtain:…”

Section: Mrsbnuc Methodsmentioning

confidence: 99%

“…Infrared detectors are often subject to severe non-uniform noise due to factors such as semiconductor materials, fabrication processes, readout circuits, and amplifier circuits [4,5]. Non-uniform noise seriously affects the imaging quality of the system, reduces the system resolution and the point target Signal-to-Noise Ratio (SNR), which is the bottleneck restricting the infrared point target detection system to reach the background limit [6,7]. Reducing non-uniform noise is an urgent problem to be solved for infrared point target detection systems [8].…”

Section: Introductionmentioning

confidence: 99%

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A Median-Ratio Scene-Based Non-Uniformity Correction Method for Airborne Infrared Point Target Detection System

Ding

Wang

Zhang

2020

Sensors

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Infrared detectors suffer from severe non-uniform noise which highly reduces image resolution and point target signal-to-noise ratio. This is the restriction for airborne point target detection systems in reaching the background limit. The existing methods are either not accurate enough, or too complex to be applied to engineering. To improve the precision and reduce the algorithm complexity of scene-based Non-Uniformity Correction (NUC) for an airborne point target detection system, a Median-Ratio Scene-based NUC (MRSBNUC) method is proposed. The method is based on the assumption that the median value of neighboring pixels is approximately constant. The NUC coefficients are calculated recursively by selecting the median ratio of adjacent pixels. Several experiments were designed and conducted. For both the clear sky scene and scene with clouds, the non-uniformity is effectively reduced. Furthermore, targets were detected in outfield experiments. For Target 1 48.36 km away and Target 2 50.53 km away, employing MRSBNUC the SNR of the target increased 2.09 and 1.73 times respectively compared to Two-Point NUC. It was concluded that the MRSBNUC method can reduce the non-uniformity of the detector effectively which leads to a longer detection distance and fewer false alarms of the airborne point target detection system.

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“…Thus the problem of solving NUC for detector arrays becomes that of solving NUC for two linear detectors. Substituting Equation (6) into Equation ( 7) to obtain:…”

Section: Mrsbnuc Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Median-Ratio Scene-Based Non-Uniformity Correction Method for Airborne Infrared Point Target Detection System

Ding

Wang

Zhang

2020

Sensors

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“…These methods fit the non-saturation value changes near the saturation value to predict the saturation value but lack a physical explanation for the detection system. Chen et al [8] introduced image restoration algorithms, using compressive sensing or variational models based on sampling principles and mathematical statistics to process remote sensing data. However, these methods face challenges when dealing with saturation interference data that cannot match similar objects.…”

Section: Introductionmentioning

confidence: 99%

Research on correction method of saturation interference data of space heterodyne spectrometer

Zhang,

Li,

Luo

et al. 2024

Fifth International Conference on Optoelectronic Science and Materials (ICOSM 2023)

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The spatial heterodyne spectroscopy (SHS) technique comprehensively integrates the principles of grating diffraction and spatial interference, enabling the detection of activities with high resolution and signal-to-noise ratio, which is adopted for high-precision remote sensing of atmospheric composition. SHS employs a focal plane array detector to simultaneously record the interference information of different optical path differences. When detecting continuous intense light signals, due to the limitations of interference modulation and the dynamic response range of the detector, the interference zero optical path point and its adjacent pixels become saturated. Directly recovering the spectrum from the saturation interferogram can lead to significant deviations from the theoretical spectrum. Base on the imaging principle of SHS, a simulation model was established for the interference data saturation of the zero optical path point and its vicinity, and used to analyse the influence of phase error on interference data. Utilizing the property of invariant phase error in SHS, a particle swarm algorithm (PSO) is employed to calibrate the intensity values of the saturation interference data. The results indicate that the proposed algorithm can reduce the normalized root-mean-square error of the recovered spectrum from 5.01e-2 to 2.10e-3.

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“…This manifests as fixed-pattern noise (FPN) in the infrared image, which is the source of non-uniformity in IRFPA [ 4 ]. Non-uniform noise seriously degrades the imaging quality of the system, reduces the system resolution and point target signal-to-noise ratio (SNR), which is the bottleneck preventing the infrared point target detection system reaching the background limit [ 5 , 6 ]. Therefore, it is necessary to perform non-uniformity correction (NUC) on the acquired infrared image for subsequent successful detection of weak and small targets.…”

Section: Introductionmentioning

confidence: 99%

Modified Two-Point Correction Method for Wide-Spectrum LWIR Detection System

Zhang

Sun

Wang

et al. 2023

Sensors

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Non-uniformity commonly exists in the infrared focal plane, which behaves as the fixed-pattern noise (FPN) and seriously affects the image quality of long-wave infrared (LWIR) detection systems. The two-point correction (TPC) method is commonly used to reduce image FPN in engineering. However, when a wide-spectrum LWIR detection system calibrated with a black body is used to detect weak and small targets in the sky, FPN still appears in the image, affecting its uniformity. The effects of atmospheric transmittance characteristics of long-range paths on the non-uniformity of wide-spectrum long-wave infrared systems have not been studied. This paper proposes a modified TPC model based on spectral subdivision that introduces atmospheric transmittance. Additionally, the effects of atmospheric transmittance characteristics on the long-wave infrared non-uniform correction coefficient are analyzed. The experimental results for a black body scene and sky scene using a weak and small target detection system with a long-wave Sofradir FPA demonstrate that the wide-spectrum LWIR detection system fully considers atmospheric transmittance when performing calibration based on the TPC method, which can reduce the non-uniformity of the image.

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Staircase-scene-based nonuniformity correction in aerial point target detection systems

Cited by 13 publications

References 15 publications

A Median-Ratio Scene-Based Non-Uniformity Correction Method for Airborne Infrared Point Target Detection System

A Median-Ratio Scene-Based Non-Uniformity Correction Method for Airborne Infrared Point Target Detection System

Research on correction method of saturation interference data of space heterodyne spectrometer

Modified Two-Point Correction Method for Wide-Spectrum LWIR Detection System

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