Entropy-Based Block Processing for Satellite Image Registration
Entropy-Based Block Processing for Satellite Image Registration
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DOI：
10.3390/e14122397
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发表时间：
2012-12-01
期刊：
影响因子：
2.7
通讯作者：
Choi, Tae-Sun
中科院分区：
文献类型：
--
作者：
Lee, Ikhyun;Seo, Doo-Chun;Choi, Tae-Sun
图像配准是融合系统、三维形状恢复、对地观测等计算机视觉应用中的一项重要任务。特别是，由于资源有限和图像尺寸大，配准卫星图像具有挑战性和耗时。在这种情况下，由于较高的处理时间，诸如尺度不变特征变换(SIFT)之类的最新图像配准方法可能不适合。本文提出了一种基于块处理的基于熵的卫星图像配准算法。使用不同的真实图像对该方法的性能进行了评估。对比分析表明，该方法不仅减少了处理时间，而且提高了准确率。
Image registration is an important task in many computer vision applications such as fusion systems, 3D shape recovery and earth observation. Particularly, registering satellite images is challenging and time-consuming due to limited resources and large image size. In such scenario, state-of-the-art image registration methods such as scale-invariant feature transform (SIFT) may not be suitable due to high processing time. In this paper, we propose an algorithm based on block processing via entropy to register satellite images. The performance of the proposed method is evaluated using different real images. The comparative analysis shows that it not only reduces the processing time but also enhances the accuracy.