Unmanned aerial vehicle (UAV) images have gained extensive attention in varying fields,
and the Structure from Motion (SfM) technique has become the gold standard for aerial …

Three-dimensional mapping is an increasingly important feature for recent photogrammetry
and remote sensing (RS) systems. Currently, unmanned aerial vehicles (UAVs) have …

Traditional feature matching methods, such as scale-invariant feature transform (SIFT),
usually use image intensity or gradient information to detect and describe feature points; …

Finding robust and correct keypoints in images remains a challenge, especially when
repetitive patterns are present. In this article, we propose a universal two-step filtering …

High-resolution image registration is an important task in remote sensing image processing.
In this paper, an automatic and robust local feature-based image registration approach is …

False match removal is a crucial and fundamental task in photogrammetry and computer
vision. This paper proposes a robust and efficient mismatch-removal algorithm based on the …

Image matching is a basic task in the field of photogrammetry and remote sensing. By using
the advantages of the Delaunay triangulation, this paper proposes a novel image matching …

Automatic matching of multimodal remote sensing images remains a vital yet challenging
task, particularly for remote sensing and computer vision applications. Most traditional …

Outlier removal is a crucial step in local feature-based unmanned aerial vehicle (UAV)
image matching. Inspired by our previous work, this paper proposes a method for reliable …

Traditional feature matching methods such as scale-invariant feature transform (SIFT)
usually use image intensity or gradient information to detect and describe feature points; …