Volume 33 #1

Contents

1. Analysis of sexual partner preferences in Eurydema ornata and E. oleracea in free choice context
2. Optimal affine approximation of image projective transformation
3. Recognition of projectively transformed planar figures XII. On new methods for projectively-invariant description of ovals in composition with a linear element of a plane
4. Edge detection based mobile robot indoor localization
5. Robust criterion for vanishing point estimation of linear trajectories of detected vehicles in a video stream
6. Matching SAR and optical images by independed referencing to a vector map
7. Increase of computational efficiency of projective image transformation on SIMD-architectures
8. Comparison of the classifying and similarity metric-based neural networks through the recognition of the filed “gender” in Russian Federation passport
9. Heartbeat-evoked responses on EEG in slow wave sleep in cats
10. Polysomnographic study of central sleep apnea in cats

The paper discusses a method for matching of SAR and optical remote sensing images through their independent visual localization relative to the vector route map. The method is based on a representation of map roads and image ones as a sets of straight line segments approximating the roads. Extraction of such segments from the image is based on the fast Hough transform, while the computation of the transform parameters, connecting the local coordinates of the image with the map coordinates, is performed by matching extracted segments to map ones applying the RANSAC algorithm which uses information about the position and orientation of the segments. The presented results of experiments on real data demonstrate the advantage of this approach in comparison with the method of image alignment not employing vector map.

Key words: remote sensing, optical images, SAR images, image matching, line segment matching, fast Hough transform

DOI: 10.1134/S0235009219010074

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