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CASIA OpenIR

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Mask2Former with Improved Query for Semantic Segmentation in Remote-Sensing Images 期刊论文
MATHEMATICS, 2024, 卷号: 12, 期号: 5, 页码: 24
作者:  Guo, Shichen;  Yang, Qi;  Xiang, Shiming;  Wang, Shuwen;  Wang, Xuezhi
收藏  |  浏览/下载：13/0  |  提交时间：2024/07/03
semantic segmentation  remote-sensing image  transformer  Mask2Former  query  
基于自监督神经网络的遥感图像配准方法研究 学位论文
, 2024
作者:  周雨欣
Adobe PDF(95539Kb)  |  收藏  |  浏览/下载：47/2  |  提交时间：2024/07/01
Remote sensing image  image registration  deep learning  feature extraction  
PDD: Post-Disaster Dataset for Human Detection and Performance Evaluation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 14
作者:  Song, Haoqian;  Song, Weiwei;  Cheng, Long;  Wei, Yue;  Cui, Jinqiang
收藏  |  浏览/下载：31/0  |  提交时间：2024/05/30
Detection algorithms  Remote sensing  YOLO  Cameras  Autonomous aerial vehicles  Convolutional neural networks  Search problems  Human detection  multiview image  performance evaluation  post-disaster ruins scene  unmanned aerial vehicle (UAV) search and rescue (SAR)  
CLDRNet: A Difference Refinement Network Based on Category Context Learning for Remote Sensing Image Change Detection 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 2133-2148
作者:  Wan, Ling;  Tian, Ye;  Kang, Wenchao;  Ma, Lei
Adobe PDF(15230Kb)  |  收藏  |  浏览/下载：108/6  |  提交时间：2024/02/20
Feature extraction  Task analysis  Remote sensing  Transformers  Deep learning  Semantics  Support vector machines  Category context learning (CCL)  clustering learning (CL)  difference map refinement (DMR)  optical remote sensing image  change detection (CD)  
Dynamic High-Resolution Network for Semantic Segmentation in Remote-Sensing Images 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 9, 页码: 28
作者:  Guo, Shichen;  Yang, Qi;  Xiang, Shiming;  Wang, Pengfei;  Wang, Xuezhi
收藏  |  浏览/下载：67/0  |  提交时间：2023/11/17
semantic segmentation  remote-sensing image  neural architecture search  sparse regularization  HRNet  
D-TNet: Category-Awareness Based Difference-Threshold Alternative Learning Network for Remote Sensing Image Change Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 1-16
作者:  Wan, Ling;  Tian, Ye;  Kang, Wenchao;  Ma, Lei
Adobe PDF(8963Kb)  |  收藏  |  浏览/下载：158/42  |  提交时间：2023/03/20
Category-awareness  change detection  optical remote sensing image  threshold learning  
Filtered Convolution for Synthetic Aperture Radar Images Ship Detection 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 20, 页码: 19
作者:  Zhang, Luyang;  Wang, Haitao;  Wang, Lingfeng;  Pan, Chunhong;  Huo, Chunlei;  Liu, Qiang;  Wang, Xinyao
收藏  |  浏览/下载：262/0  |  提交时间：2022/11/21
synthetic aperture radar (SAR)  remote sensing image ship detection  filter convolution  coherent speckle noise  local weight  
Incremental Learning With Open-Set Recognition for Remote Sensing Image Scene Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:  Liu, Weiwei;  Nie, Xiangli;  Zhang, Bo;  Sun, Xian
收藏  |  浏览/下载：249/0  |  提交时间：2022/07/25
Task analysis  Feature extraction  Data models  Computational modeling  Learning systems  Training  Support vector machines  Deep learning  incremental learning  open-set recognition (OSR)  remote sensing (RS) image scene classification  
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：241/0  |  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)  
Constraint Loss for Rotated Object Detection in Remote Sensing Images 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 21, 页码: 19
作者:  Zhang, Luyang;  Wang, Haitao;  Wang, Lingfeng;  Pan, Chunhong;  Liu, Qiang;  Wang, Xinyao
收藏  |  浏览/下载：230/0  |  提交时间：2021/12/28
rotated object detection  remote sensing image  loss functions  fast convergence