Multimodal image matching: A scale-invariant algorithm and an open dataset
Multimodal image matching is a core basis for information fusion, change detection, and
image-based navigation. However, multimodal images may simultaneously suffer from …
image-based navigation. However, multimodal images may simultaneously suffer from …
An evaluation of conventional and deep learning‐based image‐matching methods on diverse datasets
S Ji, C Zeng, Y Zhang, Y Duan - The Photogrammetric Record, 2023 - Wiley Online Library
Image matching plays an important role in photogrammetry, computer vision and remote
sensing. Modern deep learning‐based methods have been proposed for image matching; …
sensing. Modern deep learning‐based methods have been proposed for image matching; …
Weak texture remote sensing image matching based on hybrid domain features and adaptive description method
Weak texture remote sensing image (WTRSI) has characteristics such as low reflectivity,
high similarity of neighbouring pixels and insignificant differences between regions. These …
high similarity of neighbouring pixels and insignificant differences between regions. These …
Selective weighted least square and piecewise bilinear transformation for accurate satellite DSM generation
N Mohammadi, A Sedaghat - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
One of the main products of multi-view stereo (MVS) high-resolution satellite (HRS) images
in photogrammetry and remote sensing is digital surface model (DSM). Producing DSMs …
in photogrammetry and remote sensing is digital surface model (DSM). Producing DSMs …
A Mismatch Removal Method Based on Global Constraint and Local Geometry Preservation for Lunar Orbiter Images
Mismatch removal is a crucial step in multiview matching of lunar orbiter images. This
process involves complex challenges like terrain-induced distortion and nonunique …
process involves complex challenges like terrain-induced distortion and nonunique …
[HTML][HTML] A Line Feature-Based Rotation Invariant Method for Pre-and Post-Damage Remote Sensing Image Registration
Y Zhao, D Chen, J Gong - Remote Sensing, 2025 - mdpi.com
The accurate registration of pre-and post-damage images plays a vital role in the change
analysis of the target area and the subsequent work of damage effect assessment. However …
analysis of the target area and the subsequent work of damage effect assessment. However …
Comparison and evaluation of feature matching methods for multisource planetary remote sensing imagery
Feature‐based image matching is a critical technique in photogrammetry and computer
vision. Recently, various advanced image matching methods have been proposed. The …
vision. Recently, various advanced image matching methods have been proposed. The …
Performance evaluation of state-of-the-art multimodal remote sensing image matching methods in the presence of noise
To date, various image registration approaches have been conducted to deal with
distortions between multimodal image pairs. However, significant existing noise as an …
distortions between multimodal image pairs. However, significant existing noise as an …
Dynamic measurement of a long‐distance moving object using multi‐binocular high‐speed videogrammetry with adaptive‐weighting bundle adjustment
The dynamic measurement of position and attitude information of a long‐distance moving
object is a common demand in ground testing of aerospace engineering. Due to the …
object is a common demand in ground testing of aerospace engineering. Due to the …
Real‐time generation of spherical panoramic video using an omnidirectional multi‐camera system
J Gao, J Wu, M Huang, G Xu - The Photogrammetric Record, 2024 - Wiley Online Library
This paper presents a novel method for real‐time generation of seamless spherical
panoramic videos from an omnidirectional multi‐camera system (OMS). Firstly, a multi‐view …
panoramic videos from an omnidirectional multi‐camera system (OMS). Firstly, a multi‐view …