Characterization of Similar Areas of Two 2D Point Clouds
We here present a new approach to characterize similar areas of two 2D point clouds, which is a major issue in Pattern Recognition and Image Analysis.
To do so, we define a similarity measure that takes into account several criteria such as invariance by rotation, outlier elimination, and one-dimensional structure enhancement. We use this similarity measure to associate locations from one cloud to the other, to use this result in the frame of a registration process between these two point clouds.
Our main contributions are the integration of various one-dimensional structure representations into a unified formalism, and the design of a robust estimator to evaluate the common information related to these structures.
Finally, we show how to use this approach to register images of different modalities.
KeywordsRemote Sensing Point Cloud Multispectral Image Robust Estimator Similar Area
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- 5.Touzi, R., Lopes, A., Bousquet, P.: A statistical and geometrical edge detector for SAR images. IEEE Transactions on Geoscience and Remote Sensing 30(5), 1054–1060 (1988)Google Scholar