Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7438-2
Abstract: This paper proposes an adaptive scale-invariant feature matching method based on data clustering, to solve the problem of low robustness of the KD tree matching method caused by SIFT feature noise sensitivity, and our method…
read more here.
Keywords:
feature matching;
matching method;
feature;
vocabulary tree ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2973723
Abstract: Image feature matching is an important step in close range photogrammetric applications, and implementing a fast, accurate and robust feature-based image matching technique is a challenging task. To solve the problems of traditional image feature…
read more here.
Keywords:
close range;
range photogrammetric;
feature;
image ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3152539
Abstract: Finding robust and accurate feature matches is a fundamental problem in computer vision. However, incorrect correspondences and suboptimal matching accuracies lead to significant challenges for many real-world applications. In conventional feature matching, corresponding features in…
read more here.
Keywords:
feature;
dense feature;
feature matching;
homographic decomposition ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3099307
Abstract: Feature matching, which refers to seeking good correspondence between two feature point sets, is a critical prerequisite in many applications of remote sensing and photogrammetry. This work can be viewed as an extension of LSV-ANet.…
read more here.
Keywords:
structure;
structure visualization;
feature;
local structure ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
0
Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3001089
Abstract: As a fundamental and critical task in feature-based remote sensing image registration, feature matching refers to establishing reliable point correspondences from two images of the same scene. In this article, we propose a simple yet…
read more here.
Keywords:
feature matching;
image registration;
remote sensing;
feature ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3041270
Abstract: Feature matching is a fundamental problem in feature-based remote sensing image registration. Due to the ground relief variations and imaging viewpoint changes, remote sensing images often involve local distortions, leading to difficulties in high-accuracy image…
read more here.
Keywords:
remote sensing;
feature;
hyperplane;
sensing image ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3068185
Abstract: Accurate point matching is widely used, and it is a critical and challenging process in feature-based image registration. To improve feature matching accuracy on putative matches with heavy outliers and similar local structures, an accurate…
read more here.
Keywords:
feature matching;
motion;
motion entropy;
relative motion ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3123980
Abstract: Unmanned aerial vehicle (UAV) hyperspectral imaging has been extensively applied in various fields. However, due to the limited imaging width, hyperspectral images (HSIs) captured by UAV need to be stitched, so as to effectively cover…
read more here.
Keywords:
stitching method;
feature;
uav hyperspectral;
feature matching ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3128292
Abstract: As a fundamental and essential task in the field of remote sensing and photogrammetry, feature matching endeavors to establish reliable correspondences between two sets of feature points extracted from an image pair of the same…
read more here.
Keywords:
remote sensing;
feature;
motion;
sensing images ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3165222
Abstract: Feature matching, referring to establishing high reliable correspondences between two or more scenes with overlapping regions, is of extremely significance to various remote sensing tasks, such as panorama mosaic and change detection. In this work,…
read more here.
Keywords:
network;
remote sensing;
consensus attention;
attention ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3165940
Abstract: Severe nonlinear radiation distortion (NRD) is the bottleneck problem of multimodal image matching. Although many efforts have been made in the past few years, such as the radiation-variation insensitive feature transform (RIFT) and the histogram…
read more here.
Keywords:
locally normalized;
multimodal feature;
feature;
lnift ... See more keywords