Search Results for author: Jianwei Fan

Found 5 papers, 1 papers with code

Asphalt Concrete Characterization Using Digital Image Correlation: A Systematic Review of Best Practices, Applications, and Future Vision

no code implementations26 Feb 2024 Siqi Wang, Zehui Zhu, Tao Ma, Jianwei Fan

This article presents a state-of-art review of DIC as a crucial tool for laboratory testing of asphalt concrete (AC), primarily focusing on the widely utilized 2D-DIC and 3D-DIC techniques.

Exploiting Neighborhood Structural Features for Change Detection

no code implementations10 Feb 2023 Mengmeng Wang, Zhiqiang Han, Peizhen Yang, Bai Zhu, Ming Hao, Jianwei Fan, Yuanxin Ye

In this letter, a novel method for change detection is proposed using neighborhood structure correlation.

Change Detection

Adjacent-Level Feature Cross-Fusion With 3-D CNN for Remote Sensing Image Change Detection

1 code implementation10 Feb 2023 Yuanxin Ye, Mengmeng Wang, Liang Zhou, Guangyang Lei, Jianwei Fan, Yao Qin

First, through the inner fusion property of 3D convolution, we design a new feature fusion way that can simultaneously extract and fuse the feature information from bi-temporal images.

Change Detection

Advances and Challenges in Multimodal Remote Sensing Image Registration

no code implementations2 Feb 2023 Bai Zhu, Liang Zhou, Simiao Pu, Jianwei Fan, Yuanxin Ye

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 sensors (e. g., optical sensors) to the new generation of multimodal sensors [e. g., multispectral, hyperspectral, light detection and ranging (LiDAR) and synthetic aperture radar (SAR) sensors].

Image Registration

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

no code implementations5 Dec 2022 Bai Zhu, Chao Yang, Jinkun Dai, Jianwei Fan, Yuanxin Ye

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

Cannot find the paper you are looking for? You can Submit a new open access paper.