摘要
提出了一种利用天文观测手段获取的CCD图像序列对空间碎片进行自动识别和追踪的方法。该方法采用计算机图像处理、图像识别与分析和计算机视觉等相关技术,自动识别出每幅CCD图像中的空间碎片以及背景恒星等空间目标,并定量计算其有关特征;然后根据空间碎片移动较快的特点,在CCD图像序列中结合基于Snake模型的主动轮廓追踪和特征相似性比较两种方法,对其中出现的空间碎片目标进行自动识别和追踪。实验结果显示,该方法能准确地对空间碎片目标进行自动识别和追踪。
We present an efficient and low-cost method for automatically detecting and tracking of the space debris objects from astronomical images, by using a combination of active contours and shape feature similarities. An object detection algorithm is firstly implemented following some image preproeessing steps, in order to locate all the major objects in each image. Next, an object tracking method based on Greedy Snake algorithm is proposed so that all the detected objects are able to be correctly tracked. Finally, the space debris in the image sequence is identified by applying a shape feature similarity matching operation. Experimental results are also illustrated to demonstrate the capabilities of the proposed method to per form correct space debris tracking.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2010年第2期209-214,共6页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(60875011
60505008)
江苏省自然科学基金资助项目(BK2007520)
国家自然科学基金重点资助项目(60723003)
香港何鸿燊航天科技人才培训基金会资助项目
关键词
空间碎片
主动轮廓
目标追踪
天文观测
space debris
active contour
object tracking
astronomical observation
