Influence of detector pixel size on imaging performance of airborne optoelectronic system

Wang, Huilin; Wu, Xiongxiong; Xiaocun, JIANG

doi:10.5768/jao202243.0401001

Cited by 1 publication

(2 citation statements)

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“…For the point set G '[n] [2], n-1 piecewise distances can be obtained. When calculating the average speed, multiply n-1 distances by different coefficients.…”

Section: ) Weighted Average Calculation Speedmentioning

confidence: 99%

“…The measurement of target velocity and direction is an import one which is included in the sources.Recently, most of the airborne electro-optic system usually use two ways to measure the speed and direction of the target. One way [2] is to get an accurate range between target and plane from a laser equipment, and another [3] is to use Kalman filter algorithm for more precise estimate. That will not be a problem in a large integrated equipment.…”

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confidence: 99%

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A lightweight measurement algorithm for target velocity and direction in airborne optoelectronic system

Shen,

Wang,

Wang

et al. 2024

Advanced Fiber Laser Conference (AFL2023)

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In this paper, a lightweight method of velocity and direction measurement based on passive location and linear fitting for airborne electro-optic system is proposed. This method can realize real-time and high-precision, well applicability for long-distance target, without laser ranging equipment or more computer resources. The algorithm uses the data of GPS model, and attitude data of electro-optic system to locate the target passively with a high frequency. It uses the least square fitting methed to find the trajectory of the target, and then, get a new point set with point-line projection. At last, the method of weighted mean and the method of polar coordinate are used to calculate the velocity and direction of the target.Velocity and direction measurement; Electro-optic system; Passive location; Linear fitting. introductionIn recent years, the requirements for Information data processing capability of military weapon systems, has been improved to a new and high level. A proven airborne electro-optic system demands the abilities of long-time regional monitoring, target tracking and guidance, target geographic location. In addition, as an important equipment to obtain battlefield situation, airborne electro-optic system needs to process the fusion of multi-source information, not simply provide image [1] . The measurement of target velocity and direction is an import one which is included in the sources.Recently, most of the airborne electro-optic system usually use two ways to measure the speed and direction of the target. One way [2] is to get an accurate range between target and plane from a laser equipment, and another [3] is to use Kalman filter algorithm for more precise estimate. That will not be a problem in a large integrated equipment. But not every electro-optic system has enough carrying capacity and space for laser equipment, or have high performance computer to run Kalman software. This limitation is averse to the comprehensive promotion of the ability of battlefield situation information perception.

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“…For the point set G '[n] [2], n-1 piecewise distances can be obtained. When calculating the average speed, multiply n-1 distances by different coefficients.…”

Section: ) Weighted Average Calculation Speedmentioning

confidence: 99%

mentioning

confidence: 99%