Geometric registration is often an accuracy assurance for most remote sensing image
processing and analysis, such as image mosaicking, image fusion, and time-series analysis …

While image matching has been studied in remote sensing community for decades,
matching multimodal data [eg, optical, light detection and ranging (LiDAR), synthetic …

Automatic registration of multimodal remote sensing data [eg, optical, light detection and
ranging (LiDAR), and synthetic aperture radar (SAR)] is a challenging task due to the …

We propose an effective deep neural network aiming at remote sensing image registration
problem. Unlike conventional methods doing feature extraction and feature matching …

Robustness and accuracy are the two main challenging problems in feature-based remote
sensing image registration. In this letter, a novel point-matching algorithm is proposed. An …

Automatic image registration is a vital yet challenging task, particularly for remote sensing
images. A fully automatic registration approach which is accurate, robust, and fast is …

Optical and synthetic aperture radar (SAR) image registration is important for multimodal
remote sensing image information fusion. Recently, deep matching networks have shown …

Image registration is a crucial step for remote sensing image processing. Automatic
registration of multispectral remote sensing images could be challenging due to the …

Automatic image registration (AIR) is still a present challenge for the remote sensing
community. Although a wide variety of AIR methods have been proposed in the last few …

Although image matching techniques have been developed in the last decades, automatic
optical-to-synthetic aperture radar (SAR) image matching is still a challenging task due to …