MS-POFT: multiscale phase-orientation guided feature transform for multi-modal image matching

MS-POFT: multiscale phase-orientation guided feature transform for multi-modal image matching

Multi-modal remote sensing image (MRSI) matching has always been a challenging task. Traditional image matching methods often fail to obtain satisfactory results in most cases due to temporal differences, complex geometric distortions, and non-linear radiometric differences (NRDs). The key to addres...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhizheng Zhang, Pengcheng Wei, Zhenfeng Shao, Hai Xiao, Qingwei Zhuang, Zhiqing Tang, Zhijun Wen, Yu Wang, Yuyan Yan, Mingqiang Guo
Format: Article
Language:English
Published: Taylor & Francis Group 2025-05-01
Series:Geo-spatial Information Science
Subjects:
Multi-modal images matching
phase-structured adaptive detection
phase and gradient principal direction
multiscale space
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2025.2486279
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.tandfonline.com/doi/10.1080/10095020.2025.2486279

Similar Items