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A Coarse-to-Fine Feature Match Network Using Transformers for Remote Sensing Image Registration 期刊论文
Remote Sensing, 2023, 页码: 3243
作者:  Liang Chenbin;  Dong Yunyun;  Changjun Zhao;  Zengguo Sun
Adobe PDF(44590Kb)  |  收藏  |  浏览/下载：132/36  |  提交时间：2023/06/26
XANet: An Efficient Remote Sensing Image Segmentation Model Using Element-Wise Attention Enhancement and Multi-Scale Attention Fusion 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 1, 页码: 25
作者:  Liang, Chenbin;  Xiao, Baihua;  Cheng, Bo;  Dong, Yunyun
Adobe PDF(63859Kb)  |  收藏  |  浏览/下载：238/25  |  提交时间：2023/02/22
semantic segmentation  attention mechanism  cross-attention  feature fusion  
Multilevel heterogeneous domain adaptation method for remote sensing image segmentation 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2023, 页码: 61
作者:  Liang Chenbin;  Cheng Bo;  Xiao baihua;  Dong Yunyun;  Chen jinfen
Adobe PDF(35677Kb)  |  收藏  |  浏览/下载：150/36  |  提交时间：2023/05/30
3-D Electromagnetic Position Estimation System Using High-Magnetic-Permeability Metal for Continuum Medical Robots 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 2581-2588
作者:  Wang, Heng;  Wang, Shuangyi;  Liu, Hongbin;  Rhode, Kawal;  Hou, Zeng-Guang;  Rajamani, Rajesh
收藏  |  浏览/下载：152/0  |  提交时间：2022/03/17
Electromagnetic tracking  3D position estimation  high-magnetic-permeability metal  continuum medical robot  
An Improved Phase Correlation Subpixel Remote Sensing Registration Algorithm Using Probability-Guided RANSAC 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:  Dong, Yunyun;  Liang, Chenbin;  Sun, Zengguo
收藏  |  浏览/下载：148/0  |  提交时间：2022/07/25
Correlation  Task analysis  Training  Convolution  Remote sensing  Image registration  Neural networks  Image registration  phase correlation  probability-guided  random sample consensus (RANSAC)  
High-Resolution Boundary Refined Convolutional Neural Network for Automatic Agricultural Greenhouses Extraction from GaoFen-2 Satellite Imageries 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 21, 页码: 25
作者:  Zhang, Xiaoping;  Cheng, Bo;  Chen, Jinfen;  Liang, Chenbin
收藏  |  浏览/下载：136/0  |  提交时间：2021/12/28
Agricultural Greenhouses  DCNN  Semantic Segmentation  high resolution  context integration  boundary refined  GaoFen-2  
Ground-Based Cloud Detection Using Multiscale Attention Convolutional Neural Network 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 页码: 5
作者:  Zhang, Zhong;  Yang, Shuzhen;  Liu, Shuang;  Xiao, Baihua;  Cao, Xiaozhong
收藏  |  浏览/下载：194/0  |  提交时间：2022/01/27
Clouds  Databases  Decoding  Cloud computing  Convolutional neural networks  Computer architecture  Training  Attention module  cloud detection  multiscale module  Tianjin Normal University (TJNU) cloud detection database (TCDD)  
Towards Standardized Acquisition With a Dual-Probe Ultrasound Robot for Fetal Imaging 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 2, 页码: 1059-1065
作者:  Housden, James;  Wang, Shuangyi;  Bao, Xianqiang;  Zheng, Jia;  Skelton, Emily;  Matthew, Jacqueline;  Noh, Yohan;  Eltiraifi, Olla;  Singh, Anisha;  Singh, Davinder;  Rhode, Kawal
收藏  |  浏览/下载：152/0  |  提交时间：2021/03/29
Medical robots and systems  motion and path planning  software-hardware integration for robot systems  
CNN-G: convolutional neural network combined with graph for image segmentation with theoretical analysis 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Lu, Yi;  Chen, Yaran;  Zhao, Dongbin;  Liu, Bao;  Lai, Zhichao;  Chen, Jianxin
浏览  |  Adobe PDF(5636Kb)  |  收藏  |  浏览/下载：322/134  |  提交时间：2020/10/19
Graph neural network, image segmentation, self-attention, structure pattern learning.  
DetectGAN: GAN-based text detector for camera-captured document images 期刊论文
INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2020, 卷号: 23, 期号: 4, 页码: 267-277
作者:  Zhao, Jinyuan;  Wang, Yanna;  Xiao, Baihua;  Shi, Cunzhao;  Jia, Fuxi;  Wang, Chunheng
Adobe PDF(3817Kb)  |  收藏  |  浏览/下载：278/52  |  提交时间：2020/09/21
Text detection  Camera-captured document images  Multi-scale context features  Generative adversarial networks