Automatic registration of high resolution satellite images using artificial immune system and mutual information
by Akram Bennour; Bornia Tighiouart
International Journal of Computational Vision and Robotics (IJCVR), Vol. 4, No. 1/2, 2014

Abstract: Image registration is the process that allows geometric alignment of two images by determining the transformation that provides the most accurate match between two images. It is a crucial underlying process in many remote sensing applications such as multi-temporal classification, change detection, environmental monitoring, cloud removal, video geo-registration and map updating, etc. In this paper, we introduce a new approach for automated image registration without the need of sensors parameters and control points. The main characteristic of the algorithm is the use of a powerful search strategy based on artificial immune system (AIS) and mutual information as similarity measure. The method was implemented and tested using a variety of high-resolution satellite imagery such as Ikonos (0.8 metre resolution), QuickBird (0.8 m) and WorldView-2 (0.5 metres) respectively taken from Brazil, Iran and China. Experimental results and comparative studies demonstrate the effectiveness of the proposed approach for registration of high resolution satellite images.

Online publication date: Sat, 21-Jun-2014

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