A CNN-TRANSFORMER HYBRID FEATURE DESCRIPTOR FOR OPTICAL-SAR IMAGE REGISTRATION

This paper presents a CNN-Transformer hybrid feature descriptor for the registration of optical and SAR images. The proposed feature descriptor is composed of a shallow feature extraction module based on CNN and a deep feature extraction module based on Transformer, which are tailored to extract features from different levels. Its effectiveness is demonstrated in experiments with comparison to state-of-the-art methods. Experimental results demonstrated its superior performance compare to the state-of-the-art methods, thus showcasing its efficacy and potential for practical applications. Index