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20202023
most citedAdvances and Challenges in Multimodal Remote Sensing Image Registration

1 citations · 2 across the 5 of their papers we have counts for

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cs.CV2023

Exploiting Neighborhood Structural Features for Change Detection

Mengmeng Wang, Zhiqiang Han, Peizhen Yang +4

In this letter, a novel method for change detection is proposed using neighborhood structure correlation. Because structure features are insensitive to the intensity differences be…

cs.CV2023★ 1 cited

Advances and Challenges in Multimodal Remote Sensing Image Registration

Bai Zhu, Liang Zhou, Simiao Pu +2

Over the past few decades, with the rapid development of global aerospace and aerial remote sensing technology, the types of sensors have evolved from the traditional monomodal sen…

cs.CV2022★ 1 cited

R2FD2: Fast and Robust Matching of Multimodal Remote Sensing Image via Repeatable Feature Detector and Rotation-invariant Feature Descriptor

Bai Zhu, Chao Yang, Jinkun Dai +2

Automatically identifying feature correspondences between multimodal images is facing enormous challenges because of the significant differences both in radiation and geometry. To…

cs.CV2022

A Robust Multimodal Remote Sensing Image Registration Method and System Using Steerable Filters with First- and Second-order Gradients

Yuanxin Ye, Bai Zhu, Tengfeng Tang +3

Co-registration of multimodal remote sensing images is still an ongoing challenge because of nonlinear radiometric differences (NRD) and significant geometric distortions (e.g., sc…

cs.CV2020

Fast and Robust Registration of Aerial Images and LiDAR data Based on Structrual Features and 3D Phase Correlation

Bai Zhu, Yuanxin Ye, Chao Yang +3

Co-Registration of aerial imagery and Light Detection and Ranging (LiDAR) data is quilt challenging because the different imaging mechanism causes significant geometric and radiome…