The objective of this paper is to extract a suitable number of evenly distributed matched
points, given the characteristics of the site and the sensors involved. The intent is to increase …

In this letter, a synthetic aperture radar (SAR) image registration method based on edge-
point features is presented to improve precision, robustness, and applicability of SAR image …

For remote sensing image registration, we find that affine transformation is suitable to
describe the mapping between images. Based on the scale-invariant feature transform …

摘要与普通场景图像相比, 无人机影像中纹理信息较丰富, 局部特征与目标对象" 一对多"
的对应问题更加严重, 经典SURF 算法不适用于无人机影像的特征点匹配. 为此 …

This paper presents a method for automatic extraction of ground control points (GCPs) of
fully polarimetric synthetic aperture radar (SAR)(PolSAR) images obtained from various …

To cope with the problem of accurate synthetic aperture radar (SAR) image registration, a
new affine invariant descriptor framework in shearlets domain is proposed. This framework …

Image registration is a basic and key processing art for multi-sensor and/or multi-temporal
remote-sensing images. Generally speaking, multi-temporal images covering the same …

摘要针对合成孔径雷达(Synthetic aperture radar, SAR) 图像特征匹配中特征提取的不稳定性和
相似度优化搜索的复杂性问题, 提出了一种精确高效稳健的SAR 图像边缘点集匹配方法. 首先 …

Local feature extraction and matching is an essential tool for image registration and object
recognition. In this presentation we present a novel local feature extraction method in SAR …

Image registration is a task that has been focused on in many fields that deal with object
detection and tracking on video sequences. When tracking any object throughout a scene …