基于時空域的暗弱空間運(yùn)動點(diǎn)目標(biāo)檢測算法

王敏; 趙金宇; 陳濤; 崔博川

doi:10.11999/JEIT161044

基于時空域的暗弱空間運(yùn)動點(diǎn)目標(biāo)檢測算法

doi: 10.11999/JEIT161044

2.
(中國科學(xué)院長春光學(xué)精密機(jī)械與物理研究所長春 130033) ②(中國科學(xué)院大學(xué) 北京 100049)

基金項(xiàng)目:

國家863計劃項(xiàng)目(2011AA8082035)，中國科學(xué)院長春光學(xué)精密機(jī)械與物理研究所三期創(chuàng)新工程資助項(xiàng)目(065X32CN60)

計量
- 文章訪問數(shù): 1666
- HTML全文瀏覽量: 250
- PDF下載量: 468
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2016-10-12
- 修回日期: 2017-02-27
- 刊出日期: 2017-07-19

Moving Point Object Detection from Faint Space Based on Temporal-spatial Domain

2.
(Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China)

Funds:

The National 863 Program of China (2011AA 8082035), The Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, the Third Phase of Innovative Engineering Projects (065X32CN60)

摘要

摘要: 為了對空間目標(biāo)進(jìn)行精確定位與跟蹤，建立目標(biāo)運(yùn)動軌跡，該文對基于運(yùn)動信息的星圖暗弱空間運(yùn)動點(diǎn)目標(biāo)檢測算法進(jìn)行研究。首先建立一種新的空間運(yùn)動點(diǎn)目標(biāo)描述模型，然后提出基于相關(guān)系數(shù)矩陣的運(yùn)動點(diǎn)目標(biāo)檢測算法，最后提取目標(biāo)運(yùn)動軌跡，并給出了點(diǎn)目標(biāo)運(yùn)動速度的估計模型。根據(jù)實(shí)測數(shù)據(jù)和硬件平臺，提出了檢測概率和虛警率相結(jié)合的評價方法對算法進(jìn)行驗(yàn)證。試驗(yàn)結(jié)果表明，所提方法能夠在保持較低的虛警概率下獲得較高的檢測概率，優(yōu)于參與比較的其它目標(biāo)檢測方法。與單純擴(kuò)大望遠(yuǎn)鏡口徑相比，該方法為提高空間暗弱目標(biāo)識別能力提供了具有更高性價比的有效途徑。
- 目標(biāo)檢測 /
- 運(yùn)動點(diǎn)目標(biāo) /
- 時空域互相關(guān) /
- 軌跡提取
Abstract: To accurately locate, track space targets, and establish targets trajectory, a study on moving target detection based on motion information for star maps is practiced. Firstly, a new model to characterize the space moving target is constructed, then an algorithm for moving point target detection is proposed based on correlation coefficient matrix statistical information. Based on the detection method, target motion trajectory is finally extracted and the velocity estimation model of the moving target is built. This paper also proposes an evaluation method, which combines detection probability and false alarm probability, to verify this method. The experimental results demonstrate that the proposed method outperforms the compared methods and can achieve high detection probability while keeping low false alarm probability. Compared with simply expanding telescope diameter, this method provides a higher performance-price ratio way to improve the ability of space target detection.
- Target detection /
- Moving point target /
- Temporal-spatial domain correlation /
- Trajectory extraction

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