Ground target recognition using rectangle estimation.

Christina Grönwall; Fredrik Gustafsson; Mille Millnert

doi:10.1109/tip.2006.881965

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Ground target recognition using rectangle estimation.

Christina Grönwall·Fredrik Gustafsson·Mille Millnert

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Abstract

We propose a ground target recognition method based on 3-D laser radar data. The method handles general 3-D scattered data. It is based on the fact that man-made objects of complex shape can be decomposed to a set of rectangles. The ground target recognition method consists of four steps; 3-D size and orientation estimation, target segmentation into parts of approximately rectangular shape, identification of segments that represent the target's functional/main parts, and target matching with CAD models. The core in this approach is rectangle estimation. The performance of the rectangle estimation method is evaluated statistically using Monte Carlo simulations. A case study on tank recognition is shown, where 3-D data from four fundamentally different types of laser radar systems are used. Although the approach is tested on rather few examples, we believe that the approach is promising.

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Algorithms Artificial Intelligence Image Enhancement Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Information Storage and Retrieval Lasers Pattern Recognition, Automated Radar Reproducibility of Results Sensitivity and Specificity Evaluation Study Journal Article

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Christina Grönwall, Fredrik Gustafsson, Mille Millnert. 2006. Ground target recognition using rectangle estimation.. https://doi.org/10.1109/tip.2006.881965

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