3 citations · 3 across the 5 of their papers we have counts for
5 papers
Refined Equivalent Pinhole Model for Large-scale 3D Reconstruction from Spaceborne CCD Imagery
Hong Danyang, Yu Anzhu, Ji Song +4
In this study, we present a large-scale earth surface reconstruction pipeline for linear-array charge-coupled device (CCD) satellite imagery. While mainstream satellite image-based…
Sea Ice Extraction via Remote Sensed Imagery: Algorithms, Datasets, Applications and Challenges
Anzhu Yu, Wenjun Huang, Qing Xu +5
The deep learning, which is a dominating technique in artificial intelligence, has completely changed the image understanding over the past decade. As a consequence, the sea ice ex…
Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images
Kuiliang Gao, Anzhu Yu, Xiong You +3
In the existing unsupervised domain adaptation (UDA) methods for remote sensing images (RSIs) semantic segmentation, class symmetry is an widely followed ideal assumption, where th…
Semi-supervised Road Updating Network (SRUNet): A Deep Learning Method for Road Updating from Remote Sensing Imagery and Historical Vector Maps
Xin Chen, Anzhu Yu, Qun Sun +3
A road is the skeleton of a city and is a fundamental and important geographical component. Currently, many countries have built geo-information databases and gathered large amount…
UAVStereo: A Multiple Resolution Dataset for Stereo Matching in UAV Scenarios
Zhang Xiaoyi, Cao Xuefeng, Yu Anzhu +3
Stereo matching is a fundamental task for 3D scene reconstruction. Recently, deep learning based methods have proven effective on some benchmark datasets, such as KITTI and Scene F…