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

Although the scale-invariant feature transform (SIFT) algorithm has been successfully
applied to both optical image registration and synthetic aperture radar (SAR) image …

The Chinese GF-3 satellite launched in August 2016 is a Synthetic Aperture Radar (SAR)
satellite that has the largest number of imaging modes in the world. It achieves a free switch …

Synthetic aperture radar (SAR) image matching is a challenging issue in remote sensing as
the images contain significant multiplicative speckle noise. Histogram of oriented gradients …

Extracting and matching correct correspondence between two images are significant stages
for feature-based synthetic aperture radar (SAR) image registration. Two methods of feature …

To obtain large-scale seabed surface image, this paper proposes a side-scan sonar (SSS)
image mosaic method using couple feature points (CFPs) with constraint of track line …

Abstract Synthetic Aperture Radar (SAR) image registration is to establish reliable
correspondences among the images of the same scene. It is a challenging problem to …

Automatic image registration of optical-to-Synthetic aperture radar (SAR) images is difficult
because of the inconsistency of radiometric and geometric properties between the optical …

Availability of the sufficient number of matching pairs is the major challenge for optical to
SAR (Synthetic Aperture Radar) image registration. Recently, a distinctive order based self …

Рассматривается задача совмещения изображений высокого пространственного
разрешения (0, 7 м) с пиксельной точностью. Для совмещения изображений …