482 citations · 1k across the 12 of their papers we have counts for
13 papers
Multimodal Remote Sensing Image Registration: A Comprehensive Review, Challenges and Prospects
Zhiqiang Han, Yuanxin Ye, Qiuyun Wu +3
Multimodal remote sensing image registration is a crucial prerequisite for the collaborative processing and downstream application of remote sensing data, such as image fusion, cha…
Kolmogorov-Arnold Network for Remote Sensing Image Semantic Segmentation
Xianping Ma, Ziyao Wang, Yin Hu +2
Semantic segmentation plays a crucial role in remote sensing applications, where the accurate extraction and representation of features are essential for high-quality results. Desp…
Masked conditional variational autoencoders for chromosome straightening
Jingxiong Li, Sunyi Zheng, Zhongyi Shui +9
Karyotyping is of importance for detecting chromosomal aberrations in human disease. However, chromosomes easily appear curved in microscopic images, which prevents cytogeneticists…
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…
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…
Adjacent-Level Feature Cross-Fusion With 3-D CNN for Remote Sensing Image Change Detection
Yuanxin Ye, Mengmeng Wang, Liang Zhou +3
Deep learning-based change detection (CD) using remote sensing images has received increasing attention in recent years. However, how to effectively extract and fuse the deep featu…
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…
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…
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity
Yuanxin Ye, Jie Shan, Lorenzo Bruzzone +1
Automatic registration of multimodal remote sensing data (e.g., optical, LiDAR, SAR) is a challenging task due to the significant non-linear radiometric differences between these d…
Improving Co-registration for Sentinel-1 SAR and Sentinel-2 Optical images
Yuanxin Ye, Chao Yang, Bai Zhu +2
Co-registering the Sentinel-1 SAR and Sentinel-2 optical data of European Space Agency (ESA) is of great importance for many remote sensing applications. However, we find that ther…
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…
A local fingerprint for hydrophobicity and hydrophilicity: from methane to peptides
S. Pérez-Conesa, Pablo M. Piaggi, Michele Parrinello
An important characteristic that determines the behavior of a solute in water is whether it is hydrophobic or hydrophilic. The traditional classification is based on chemical exper…
Fast and Robust Matching for Multimodal Remote Sensing Image Registration
Yuanxin Ye, Lorenzo Bruzzone, Jie Shan +2
While image registration has been studied in remote sensing community for decades, registering multimodal data [e.g., optical, LiDAR, SAR, and map] remains a challenging problem be…