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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >SIFT Detector Boosted by Adaptive Contrast Threshold to Improve Matching Robustness of Remote Sensing Panchromatic Images
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SIFT Detector Boosted by Adaptive Contrast Threshold to Improve Matching Robustness of Remote Sensing Panchromatic Images

机译：SIFT探测器通过自适应对比度阈值提高，以提高遥感识别的遥感全色图像的稳健性

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摘要

Although scale invariant feature transform (SIFT) based algorithms have a wide range of applications in remote sensing panchromatic image matching, but minor changes in the contrast threshold can bring about drastic changes in the image matching quality. In order to effectively improve the matching quality of the SIFT detector, this paper proposes an adaptive contrast threshold-SIFT (ACT-SIFT) procedure. The ACT-SIFT method set forth herein harmoniously calculates two sought after contrast thresholds for the target and the reference images separately an objective achieved through minimizing certain proposed criterion. As an introductory step, the entropy in the keypoints (EiK) is defined as a control or balancing parameter being estimated in terms of the entropy of the image and the number of the keypoints. To that end, the candidate keypoints are first extracted fromthe scale space of SIFT method by applying the initial contrast threshold for both images. Then, the contrast threshold values are modified iteratively for both images to reach the needed values by minimizing the relative difference between the EiK of the target and the reference images. Next, in agreement with the threshold values obtained, the keypoints are extracted with the help of the SIFT keypoint detector. The correct matching pairs are also created using the matches acquired through the SIFT descriptor. The results obtained by applying our proposed approach promise boosted matching pairs in remote sensing image correspondences, for it extracts the keypoints in a robust manner by simultaneously checking the information content of the reference and the target images.
机译：虽然基于级别不变的功能变换（SIFT）的算法在遥感Panchromic图像匹配中具有广泛的应用，但对比度阈值的微小变化可以带来图像匹配质量的急剧变化。为了有效地改善SIFT检测器的匹配质量，提出了一种自适应对比度阈值 - SIFT（ACT-SIFT）程序。本文阐述的ACT-SIFT方法和谐地计算目标的对比度阈值和参考图像的两个追求，通过最小化某些提出的标准来分别实现目标。作为介绍性步骤，关键点（EIK）中的熵被定义为在图像的熵和关键点的数量方面被定义为估计的控制或平衡参数。为此，首先通过对两个图像应用初始对比度阈值来从SIFT方法的刻度空间中提取候选关键点。然后，通过最小化目标的EIK与参考图像之间的相对差异来迭代地修改对比度阈值。接下来，与所获得的阈值一致，在SIFT键点检测器的帮助下提取关键点。还使用通过SIFT描述符获取的匹配来创建正确的匹配对。通过应用我们所提出的方法承诺在遥感图像对应关系中提升匹配对而获得的结果，因为它通过同时检查参考和目标图像的信息内容，以稳健的方式提取关键点。

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