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科研机构
武汉大学 [19]
内容类型
期刊论文 [15]
会议论文 [2]
其他 [2]
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2018 [3]
2017 [5]
2016 [4]
2015 [4]
2014 [3]
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Unsupervised Change Detection Based on Hybrid Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 卷号: 56, 期号: 7
作者:
Lv, Pengyuan
;
Zhong, Yanfei
;
Zhao, Ji
;
Zhang, Liangpei
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/12/05
Change detection (CD)
conditional random fields (CRFs)
high spatial resolution (HSR)
object-based image analysis (OBIA)
remote sensing
Scene Classification Based on the Sparse Homogeneous-Heterogeneous Topic Feature Model
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 卷号: 56, 期号: 5
作者:
Zhu, Qiqi
;
Zhong, Yanfei
;
Wu, Siqi
;
Zhang, Liangpei
;
Li, Deren
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/05
Geographical
high spatial resolution (HSR) imagery
homogeneous topics
multisource
probabilistic topic model (PTM)
scene classification
scene understanding
Multi-class geospatial object detection based on a position-sensitive balancing framework for high spatial resolution remote sensing imagery
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 卷号: 138
作者:
Zhong, Yanfei
;
Han, Xiaobing
;
Zhang, Liangpei
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Geospatial object detection
High spatial resolution (HSR) remote sensing imagery
Residual network
Pre-training mechanism
Position-sensitive balancing
Transfer Learning With Fully Pretrained Deep Convolution Networks for Land-Use Classification
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 9
作者:
Zhao, Bei
;
Huang, Bo
;
Zhong, Yanfei
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/05
Convolutional networks (CNets)
deep learning
fine-tuning
fully pretrained
high spatial resolution (HSR) imagery
land-use classification
random cropping and mirroring
ROBUST GEOSPATIAL OBJECT DETECTION BASED ON PRE-TRAINED FASTER R-CNN FRAMEWORK FOR HIGH SPATIAL RESOLUTION IMAGERY
其他
2017-01-01
作者:
Han, Xiaobing
;
Zhong, Yanfei
;
Feng, Ruyi
;
Zhang, Liangpei
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/05
Geospatial object detection
HSR imagery
Faster RCNN
real-time
feature sharing
ROBUST GEOSPATIAL OBJECT DETECTION BASED ON PRE-TRAINED FASTER R-CNN FRAMEWORK FOR HIGH SPATIAL RESOLUTION IMAGERY
其他
2017-01-01
作者:
Han, Xiaobing
;
Zhong, Yanfei
;
Feng, Ruyi
;
Zhang, Liangpei
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Geospatial object detection
HSR imagery
Faster RCNN
real-time
feature sharing
Scene Classification Based on the Fully Sparse Semantic Topic Model
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 卷号: 55, 期号: 10
作者:
Zhu, Qiqi
;
Zhong, Yanfei
;
Zhang, Liangpei
;
Li, Deren
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/05
Fusion
high spatial resolution (HSR) imagery
limited training samples
probabilistic topic model (PTM)
scene classification
sparsity
An Efficient and Robust Integrated Geospatial Object Detection Framework for High Spatial Resolution Remote Sensing Imagery
期刊论文
REMOTE SENSING, 2017, 卷号: 9, 期号: 7
作者:
Han, Xiaobing
;
Zhong, Yanfei
;
Zhang, Liangpei
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
geospatial object detection
high spatial resolution (HSR) remote sensing imagery
integration
pre-training mechanism
feature sharing
Dirichlet-Derived Multiple Topic Scene Classification Model for High Spatial Resolution Remote Sensing Imagery
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 卷号: 54, 期号: 4
作者:
Zhao, Bei
;
Zhong, Yanfei
;
Xia, Gui-Song
;
Zhang, Liangpei
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/05
Terms High spatial resolution (HSR)
latent Dirichlet allocation (LDA)
multiple features
probabilistic latent semantic analysis (PLSA)
remote sensing
scene classification
Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2016, 卷号: 13, 期号: 6
作者:
Zhu, Qiqi
;
Zhong, Yanfei
;
Zhao, Bei
;
Xia, Gui-Song
;
Zhang, Liangpei
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/05
Bag-of-visual-words (BOVW)
high spatial resolution (HSR)
local and global features
remote sensing
scene classification
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