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Entropy-Based Block Processing for Satellite Image Registration
2012
Entropy
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
doi:10.3390/e14122397
fatcat:dmrt2xtzdjdf3pyzyku7ohf5em