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An Airborne Remote Sensing Image Mosaic Algorithm Based on Feature Points

机译:基于特征点的机载遥感图像拼接算法

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This paper focuses on a image mosaic method based on feature points. Image registration and stitching are the key technology of image mosaic. Based on analysis of research, this paper selected a mosaic algorithm based on SIFT feature points which have a good scale and rotation invariant feature for further research. For the wrong matches because of the algorithm restriction, occlusion, sensor moves, or the symmetric structure of the scene itself, this paper introduces the RANSAC algorithm for precise matching. During the process of image stitching, this paper reaches the goal of image mosaic by using the Homography Matrix solved by RANSAC.
机译:本文着重研究一种基于特征点的图像拼接方法。图像配准和拼接是图像拼接的关键技术。在研究分析的基础上,本文选择了一种基于SIFT特征点的拼接算法,该算法具有良好的尺度和旋转不变性,值得进一步研究。对于由于算法限制,遮挡,传感器移动或场景本身的对称结构而导致的错误匹配,本文介绍了用于精确匹配的RANSAC算法。在图像拼接过程中,利用RANSAC求解的Homography Matrix实现了图像拼接的目的。

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