A NEW APPROACH FOR OPTICAL AND SAR SATELLITE IMAGE REGISTRATION
Over the last years several research studies have shown the high geometric accuracy of high resolution radar satellites like TerraSARX. Due to this fact, the impact of high resolution SAR images for image registration has increased. An aim of high accuracy image registration is the improvement of th...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2015-03-01
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Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W4/119/2015/isprsannals-II-3-W4-119-2015.pdf |
Summary: | Over the last years several research studies have shown the high geometric accuracy of high resolution radar satellites like TerraSARX.
Due to this fact, the impact of high resolution SAR images for image registration has increased. An aim of high accuracy image
registration is the improvement of the absolute geometric accuracy of optical images by using SAR images as references. High accuracy
image registration is required for different remote sensing applications and is an on-going research topic. The registration of images
acquired by different sensor types, like optical and SAR images, is a challenging task. In our work, a novel approach is proposed,
which is a combination of the classical feature-based and intensity-based registration approaches. In the first step of the method, spatial
features, here roundabouts, are detected in the optical image. In the second step, the detected features are used to generate SAR like
roundabout templates. In the third step, the templates are matched with the corresponding parts of the SAR image by using an intensitybased
matching process. The proposed method is tested for a pair of TerraSAR-X and QuickBird images and a pair of TerraSAR-X and
WorldView-2 images of a suburban area. The results show that the proposed method offers an alternative approach compared to the
common optical and SAR images registration methods and it can be used for the geometric accuracy improvement of optical images. |
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ISSN: | 2194-9042 2194-9050 |