A review of multimodal image matching: Methods and applications
Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …
similar structure/content from two or more images that are of significant modalities or …
Advances and opportunities in remote sensing image geometric registration: A systematic review of state-of-the-art approaches and future research directions
Geometric registration is often an accuracy assurance for most remote sensing image
processing and analysis, such as image mosaicking, image fusion, and time-series analysis …
processing and analysis, such as image mosaicking, image fusion, and time-series analysis …
R₂FD₂: fast and robust matching of multimodal remote sensing images via repeatable feature detector and rotation-invariant feature descriptor
B Zhu, C Yang, J Dai, J Fan, Y Qin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Identifying feature correspondences between multimodal images is facing enormous
challenges because of the significant differences both in radiation and geometry. To address …
challenges because of the significant differences both in radiation and geometry. To address …
Fast and robust matching for multimodal remote sensing image registration
While image matching has been studied in remote sensing community for decades,
matching multimodal data [eg, optical, light detection and ranging (LiDAR), synthetic …
matching multimodal data [eg, optical, light detection and ranging (LiDAR), synthetic …
Robust registration of multimodal remote sensing images based on structural similarity
Automatic registration of multimodal remote sensing data [eg, optical, light detection and
ranging (LiDAR), and synthetic aperture radar (SAR)] is a challenging task due to the …
ranging (LiDAR), and synthetic aperture radar (SAR)] is a challenging task due to the …
A deep learning framework for remote sensing image registration
We propose an effective deep neural network aiming at remote sensing image registration
problem. Unlike conventional methods doing feature extraction and feature matching …
problem. Unlike conventional methods doing feature extraction and feature matching …
Multi-temporal remote sensing image registration using deep convolutional features
Registration of multi-temporal remote sensing images has been widely applied in military
and civilian fields, such as ground target identification, urban development assessment, and …
and civilian fields, such as ground target identification, urban development assessment, and …
OS-SIFT: A robust SIFT-like algorithm for high-resolution optical-to-SAR image registration in suburban areas
Although the scale-invariant feature transform (SIFT) algorithm has been successfully
applied to both optical image registration and synthetic aperture radar (SAR) image …
applied to both optical image registration and synthetic aperture radar (SAR) image …
Optical and SAR image registration based on feature decoupling network
D Xiang, Y Xie, J Cheng, Y Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Automatic registration of optical and synthetic aperture radar (SAR) images is one of the
most challenging tasks due to the influence of speckle noise and nonlinear radiation …
most challenging tasks due to the influence of speckle noise and nonlinear radiation …
Self-distillation feature learning network for optical and SAR image registration
Optical and synthetic aperture radar (SAR) image registration is important for multimodal
remote sensing image information fusion. Recently, deep matching networks have shown …
remote sensing image information fusion. Recently, deep matching networks have shown …