Target observation performance evaluation method for video surveillance based on Johnson criteria

Ruirong, 游瑞蓉 You; Xinwei, 王新伟 Wang; Pengdao, 任鹏道 Ren; Jun, 何军 He; Yan, 周燕 Zhou

doi:10.3788/irla201645.1217003

Cited by 4 publications

(2 citation statements)

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“…Traditionally it is defined for the interpretation probability 5 . 0  P [7] and is designated as % 50  P n (Table 1). If it is necessary to determine P n for probability…”

Section: State-of-the-artmentioning

confidence: 99%

Model for selecting the Earth observation satellite systems by object recognition probability

Артюшин

Kondratov

Andronov

et al. 2020

Fìz.-mat. model. ìnf. tehnol.

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The paper provides a model for selecting satellite systems for optical observation of the Earth by the probability of recognizing objects. The model is based on improved rules for selecting satellites by the spatial resolution of onboard imaging system. The model advantage over the known ones is the satellite systems selection not only due to the spatial resolution of image, but also taking into account the predictable contrast of objects and the required recognition level. The proposed model ensures a more correct pre-selection of satellite systems, in doing so reducing the cost of satellite imaging by preventing extra-requirements for spatial resolution of onboard imaging system. Also, the article proposes a method of forming a database of radiometric contrasts of typical objects and backgrounds for their consideration in the model for choosing satellite systems. This method does not depend on the specific types of on-board equipment, as well as on the availability of archival images at the time of planning satellite imagery.

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“…Traditionally it is defined for the interpretation probability 5 . 0  P [7] and is designated as % 50  P n (Table 1). If it is necessary to determine P n for probability…”

Section: State-of-the-artmentioning

confidence: 99%

Model for selecting the Earth observation satellite systems by object recognition probability

Артюшин

Kondratov

Andronov

et al. 2020

Fìz.-mat. model. ìnf. tehnol.

View full text Add to dashboard Cite

show abstract

“…In recent years, researchers studied the imaging component and system characteristics based on the Johnson criteria and TTP metric. You et al established the CCTV-Johnson-DRI standard for target detection in videos [6]. Chen et al proposed a method of working distance estimation for EMCCD reconnaissance meters [7].…”

Section: Introductionmentioning

confidence: 99%

Revised targeting task performance (TTP) metric for optical remote sensing system effectiveness evaluation

Zhuang

Wang

2023

AOPC 2022: Optical Sensing, Imaging, and Display Technology

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Target acquisition task-oriented effectiveness evaluation methods for optical remote sensing systems are helpful in the design phase to quantitatively evaluate and predict the target detection ability of optical remote sensing systems. Compared with the widely-used National Imagery Interpretability Rating Scale (NIIRS) and Johnson criteria, the Targeting Task Performance (TTP) metric has a more comprehensive evaluation model for electro-optical imaging systems, combined with the target features and human eye functions. This paper discussed the effects of the image luminance and noise distribution on the target acquisition task, and proposed a revised TTP metric, aiming at improving the accuracy of the effectiveness evaluation model. Aerial remote sensing experiments were carried out, and the ability of an optical remote sensing system to detect and recognize the target models was evaluated based on the proposed method. For aerial images under the NIIRS levels ranged from 2.98 to 4.43. The detection and recognition probabilities of aircraft models were calculated using the original and revised TTP metrics, respectively. It is inferred that the evaluation results by the revised TTP metric are in better accordance with the NIIRS level of the images.

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Research On Optimal Search Efficiency Of Rocket Wreckage Based On UAV

Zhang

Yao

Wang

et al. 2020

J. Phys.: Conf. Ser.

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In order to improve the efficiency of UAV search for debris targets in the area of debris. The paper discusses the relationship between the flight altitude, photoelectric turret parameters, searching area and resolution of UAV. Then discusses the characteristics of rocket debris distribution based on historical debris distribution data.by building the model of UAV operating area and regularities of debris distribution,this paper calculate the probability of finding the debris targets in one flight with optimal searching method by Monte Carlo calculation method.this method has high practical value for using UAV to search rocket debris.

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Target observation performance evaluation method for video surveillance based on Johnson criteria

Cited by 4 publications

References 0 publications

Model for selecting the Earth observation satellite systems by object recognition probability

Model for selecting the Earth observation satellite systems by object recognition probability

Revised targeting task performance (TTP) metric for optical remote sensing system effectiveness evaluation

Research On Optimal Search Efficiency Of Rocket Wreckage Based On UAV

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