Progressive neighbor consistency mining for correspondence pruning
The goal of correspondence pruning is to recognize correct correspondences (inliers) from
initial ones, with applications to various feature matching based tasks. Seeking neighbors in …
initial ones, with applications to various feature matching based tasks. Seeking neighbors in …
LSV-ANet: Deep learning on local structure visualization for feature matching
Feature matching is a fundamental and important task in many applications of remote
sensing and photogrammetry. Remote sensing images often involve complex spatial …
sensing and photogrammetry. Remote sensing images often involve complex spatial …
Deformable medical image registration with global–local transformation network and region similarity constraint
Deformable medical image registration can achieve fast and accurate alignment between
two images, enabling medical professionals to analyze images of different subjects in a …
two images, enabling medical professionals to analyze images of different subjects in a …
Guide to match: Multi-layer feature matching with a hybrid gaussian mixture model
As a fundamental yet challenging task in computer vision, finding correspondences between
two sets of feature points has received extensive attention. Among all the proposed …
two sets of feature points has received extensive attention. Among all the proposed …
Rotation-invariant siamese network for low-altitude remote-sensing image registration
Y Liu, X Gong, J Chen, S Chen… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Multiple-view change caused by small unmanned aerial vehicles (UAVs) monitoring the
ground, resulting in image distortion, multiview transformation, and low overlap. Thus, such …
ground, resulting in image distortion, multiview transformation, and low overlap. Thus, such …
A new sample consensus based on sparse coding for improved matching of SIFT features on remote sensing images
P Etezadifar, H Farsi - IEEE Transactions on Geoscience and …, 2020 - ieeexplore.ieee.org
In this article, a new method is proposed for feature matching of remote sensing images
using sample consensus based on sparse coding (SCSC) to improve the image registration …
using sample consensus based on sparse coding (SCSC) to improve the image registration …
StateNet: Deep state learning for robust feature matching of remote sensing images
Seeking good correspondences between two images is a fundamental and challenging
problem in the remote sensing (RS) community, and it is a critical prerequisite in a wide …
problem in the remote sensing (RS) community, and it is a critical prerequisite in a wide …
A novel coarse-to-fine scheme for remote sensing image registration based on SIFT and phase correlation
Automatic image registration has been wildly used in remote sensing applications. However,
the feature-based registration method is sometimes inaccurate and unstable for images with …
the feature-based registration method is sometimes inaccurate and unstable for images with …
Automatic detection of scattered garbage regions using small unmanned aerial vehicle low-altitude remote sensing images for high-altitude natural reserve …
W Chen, Y Zhao, T You, H Wang… - … Science & Technology, 2021 - ACS Publications
Recently, some famous high-altitude nature reserves have been shut down due to tourist
garbage pollution. In order to clean up such garbage more conveniently and quickly, a novel …
garbage pollution. In order to clean up such garbage more conveniently and quickly, a novel …
Underwater image matching with efficient refractive-geometry estimation for measurement in glass-flume experiments
H Sun, H Du, M Li, H Sun, X Zhang - Measurement, 2020 - Elsevier
Computer vision technology has been employed in numerous ocean engineering
experiments to measure motions and shapes of target objects. However, when dealing with …
experiments to measure motions and shapes of target objects. However, when dealing with …