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Entropy-Based Block Processing for Satellite Image Registration
School of Information and Mechatronics, Gwangju Institute of Science and Technology (GIST), 123 Cheomdan gwagiro, Buk-Gu, Gwangju 500-712, South Korea
Satellite Data Cal/Val Team, Korea Aerospace Research Institute, 45 Eundong Yusunggu, Daejon 305-333, South Korea
* Author to whom correspondence should be addressed.
Received: 8 October 2012; in revised form: 14 November 2012 / Accepted: 19 November 2012 / Published: 27 November 2012
Abstract: 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.
Keywords: image registration; electro-optics; block processing
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MDPI and ACS Style
Lee, I.; Seo, D.-C.; Choi, T.-S. Entropy-Based Block Processing for Satellite Image Registration. Entropy 2012, 14, 2397-2407.
Lee I, Seo D-C, Choi T-S. Entropy-Based Block Processing for Satellite Image Registration. Entropy. 2012; 14(12):2397-2407.
Lee, Ikhyun; Seo, Doo-Chun; Choi, Tae-Sun. 2012. "Entropy-Based Block Processing for Satellite Image Registration." Entropy 14, no. 12: 2397-2407.