SAR and Optical Remote Sensing Image Registration Based on an Improved Point Feature
This paper proposes a simple and stable point feature-based registration method for synthetic aperture radar (SAR) and optical remote sensing images. First, we extend Harris detector’s response function from linear item to quadratic form and build a new weight function by combining spatial and intensity information of pixels, which enable the location of corners more precisely. Next, we create a structural feature descriptor using both the amplitude and orientation of corners to provide more distinctive local image features. Finally, we set up the correspondence based on the generated point features, and map all pixels in the sensed image to the reference. Experimental results demonstrate that the improved detector can achieve better detection performance compared with conventional Harris corner detector. In addition, registration with SAR and optical images demonstrate the efficiency and accuracy of the proposed approach.
Index TermsImage registration SAR image Optical remote sensing image Harris corner detector
This work has been partially supported by the National key Research and Development Program of China (2016YFC0801304, 2017YFC0803705).
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