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武汉大学 [7]
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MFFENet and ADANet: a robust deep transfer learning method and its application in high precision and fast cross-scene recognition of earthquake-induced landslides
期刊论文
LANDSLIDES, 2022, 页码: 31
作者:
Xu, Qingsong
;
Ouyang, Chaojun
;
Jiang, Tianhai
;
Yuan, Xin
;
Fan, Xuanmei
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/05/23
Earthquake-induced landslide recognition
Deep learning
Unsupervised domain adaptation
Multi-scale Feature Fusion with Encoder-decoder Network (MFFENet)
Adversarial Domain Adaptation Network (ADANet)
Landslide spatial analysis
Cross-Domain Scene Classification by Integrating Multiple Incomplete Sources
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 12, 页码: 10035-10046
作者:
Gong, Tengfei
;
Zheng, Xiangtao
;
Lu, Xiaoqiang
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/12/10
Feature extraction
Optics
Distributed databases
Adversarial machine learning
Technological innovation
Sensors
Remote sensing
Cross-domain scene classification
incomplete source
multisource domain adaptation
unknown categories
Multisource Compensation Network for Remote Sensing Cross-Domain Scene Classification
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 4, 页码: 2504-2515
作者:
Lu, Xiaoqiang
;
Gong, Tengfei
;
Zheng, Xiangtao
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/04/23
Cross-domain scene classification
domain adaptation
multisource compensation
remote sensing scene classification
Semi-supervised center-based discriminative adversarial learning for cross-domain scene-level land-cover classification of aerial images
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2019, 卷号: 155
作者:
Zhu, Ruixi
;
Yan, Li
;
Mo, Nan
;
Liu, Yi
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/05
Semi-supervised domain adaptation
Scene-level land-cover classification
Triplet network
Filtering out easy triplets
Hard triplet loss
Center loss
Cross-Domain Distance Metric Learning Framework With Limited Target Samples for Scene Classification of Aerial Images
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 6
作者:
Yan, Li
;
Zhu, Ruixi
;
Mo, Nan
;
Liu, Yi
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/05
Cross-domain distance metric learning (CDDML)
data distribution bias
discriminating distance metric learning (DDML)
hybrid color features
multifeature image-to-subcategory nearest neighbor classifier
scene classification
Cross-Domain Distance Metric Learning Framework with Limited Target Samples for Scene Classification of Aerial Images
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: 57, 期号: 6
作者:
Yan, Li
;
Zhu, Ruixi
;
Mo, Nan
;
Liu, Yi
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Color-boosted saliency-guided rotation invariant bag of visualwords representation with parameter transfer for cross-domain scene-level classification
期刊论文
Remote Sensing, 2018, 卷号: 10, 期号: 4
作者:
Yan, Li
;
Zhu, Ruixi
;
Liu, Yi
;
Mo, Nan
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/05
TrAdaBoost Based on Improved Particle Swarm Optimization for Cross-Domain Scene Classification With Limited Samples
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 卷号: 11, 期号: 9
作者:
Yan, Li
;
Zhu, Ruixi
;
Liu, Yi
;
Mo, Nan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/05
Iterative selective TrAdaBoost
modified correction factor
modified particle swarm optimization
optimal feature subspace
rapid convergence speed
scene classification
TrAdaBoost
weight mismatch
TrAdaBoost Based on Improved Particle Swarm Optimization for Cross-Domain Scene Classification with Limited Samples
期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 卷号: 11, 期号: 9
作者:
Yan, Li
;
Zhu, Ruixi
;
Liu, Yi
;
Mo, Nan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Color-Boosted Saliency-Guided Rotation Invariant Bag of Visual Words Representation with Parameter Transfer for Cross-Domain Scene-Level Classification
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 4
作者:
Yan, Li
;
Zhu, Ruixi
;
Liu, Yi
;
Mo, Nan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Bag of Visual Words ( BOVW)
color-boosted global contrast-based salient region detection method
rotation invariant BOVW representation
transfer of SVM parameters from the source to the target domain
cross-domain scene classification
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