Fast Registration of Multiview Slant-Range SAR Images
| العنوان: | Fast Registration of Multiview Slant-Range SAR Images |
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| المؤلفون: | Xiaolan Qiu, Yuming Xiang, Feng Wang, Lingxiao Peng |
| المصدر: | IEEE Geoscience and Remote Sensing Letters. 19:1-5 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Synthetic aperture radar, Pixel, Computer science, business.industry, Image registration, computer.file_format, Slant range, Geotechnical Engineering and Engineering Geology, Azimuth, Computer Science::Graphics, Computer Science::Computer Vision and Pattern Recognition, Phase correlation, Computer vision, Image file formats, Artificial intelligence, Electrical and Electronic Engineering, Projection (set theory), business, computer |
| الوصف: | Unlike geocoded images, slant-range (SR) synthetic aperture radar (SAR) images vary from imaging resolution to angles, which are difficult to be registered directly using the traditional SAR image registration methods. A possible way is to match their corresponding geocoded images and to project the correspondences to SR images. However, this way is time consuming and suffers from both registration and projection errors. In this letter, an automatic and efficient method is proposed to directly match multiview SR SAR images. We first estimate the scale and rotation differences between two SR images from the metadata delivered by vendors alongside the image file. Specifically, the scale differences of the range and azimuth directions are estimated by transforming the range and azimuth pixel intervals into a uniform geographical resolution, and the rotation differences are estimated by comparing the azimuth angles of an image-pair. A global-to-local framework is then implemented to accelerate the registration process. In the global stage, we fix the scale and rotation parameters in SAR-scale-invariant-feature-transform (SAR-SIFT) method to avoid mismatches. In the local stage, the phase correlation of cropped patches is parallelized to generate accurate matches. Experimental results on 13 multiview SAR images of the Omaha city show that the proposed method can provide accurate and efficient registration results for each pair of the 13 images, and outperforms the state-of-the-art methods both in accuracy and in efficiency. |
| تدمد: | 1558-0571 1545-598X |
| DOI: | 10.1109/lgrs.2020.3045099 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::6f111da94b2958732059cbb3c9bad9b1 https://doi.org/10.1109/lgrs.2020.3045099 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi...........6f111da94b2958732059cbb3c9bad9b1 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15580571 1545598X |
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| DOI: | 10.1109/lgrs.2020.3045099 |