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 …

Registration for multisensor or multimodal image pairs with a large degree of distortions is a
fundamental task for many remote sensing applications. To achieve accurate and low-cost …

In recent years, remote sensing recognition technology has found extensive applications in
diverse fields, such as modern agriculture, forest management, urban planning, natural …

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

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 …

Extracting well-distributed, reliable, and precisely aligned point pairs for accurate image
registration is a difficult task, particularly for multisource remote sensing images that have …

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

Highly accurate registration is one of the essential requirements for numerous applications
of remote sensing images. Toward this end, we have developed a robust algorithm by …

We propose a deep learning framework by the probability of the predicting semantic spatial
position distribution for remote sensing image registration. Traditional matching methods …

Multimodal remote sensing images with large rotation transformation (RT) are challenging to
be registered. It needs to deal with the global geometric deformation caused by great RT …