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用于扫描遥感相机的自动对焦方法。

Autofocus method for scanning remote sensing cameras.

作者信息

Lv Hengyi, Han Chengshan, Xue Xucheng, Hu Changhong, Yao Cheng

出版信息

Appl Opt. 2015 Jul 10;54(20):6351-9. doi: 10.1364/AO.54.006351.

Abstract

Autofocus methods are conventionally based on capturing the same scene from a series of positions of the focal plane. As a result, it has been difficult to apply this technique to scanning remote sensing cameras where the scenes change continuously. In order to realize autofocus in scanning remote sensing cameras, a novel autofocus method is investigated in this paper. Instead of introducing additional mechanisms or optics, the overlapped pixels of the adjacent CCD sensors on the focal plane are employed. Two images, corresponding to the same scene on the ground, can be captured at different times. Further, one step of focusing is done during the time interval, so that the two images can be obtained at different focal plane positions. Subsequently, the direction of the next step of focusing is calculated based on the two images. The analysis shows that the method investigated operates without restriction of the time consumption of the algorithm and realizes a total projection for general focus measures and algorithms from digital still cameras to scanning remote sensing cameras. The experiment results show that the proposed method is applicable to the entire focus measure family, and the error ratio is, on average, no more than 0.2% and drops to 0% by reliability improvement, which is lower than that of prevalent approaches (12%). The proposed method is demonstrated to be effective and has potential in other scanning imaging applications.

摘要

传统的自动对焦方法是基于从焦平面的一系列位置捕捉同一场景。因此,很难将该技术应用于场景不断变化的扫描式遥感相机。为了实现扫描式遥感相机的自动对焦,本文研究了一种新颖的自动对焦方法。该方法不引入额外的机制或光学元件,而是利用焦平面上相邻电荷耦合器件(CCD)传感器的重叠像素。在不同时间可以捕捉到对应地面同一场景的两幅图像。此外,在该时间间隔内完成一步对焦,以便在不同的焦平面位置获得这两幅图像。随后,根据这两幅图像计算下一步对焦的方向。分析表明,所研究的方法不受算法时间消耗的限制,实现了从数字相机到扫描式遥感相机的通用对焦度量和算法的全面推广。实验结果表明,该方法适用于整个对焦度量系列,平均误差率不超过0.2%,通过可靠性改进可降至0%,低于流行方法的误差率(12%)。所提出的方法被证明是有效的,并且在其他扫描成像应用中具有潜力。

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