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浏览/检索结果:
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CMT: Cross Mean Teacher Unsupervised Domain Adaptation for VHR Image Semantic Segmentation
期刊论文
IEEE Geoscience and Remote Sensing Letters, 2021, 卷号: 0, 期号: 0, 页码: 1-5
作者:
Liang Yan
;
Bin Fan
;
Shiming Xiang
;
Chunhong Pan
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/06/15
Cross mean teacher (CMT)
self-training (ST)
semantic segmentation
unsupervised domain adaptation (UDA)
very-high-resolution (VHR) image
An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images
期刊论文
SENSORS, 2020, 卷号: 20, 期号: 22
作者:
Sun, Fei
;
Fang, Fang
;
Wang, Run
;
Wan, Bo
;
Guo, Qinghua
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/03/01
image classification
class imbalance
impartial semi-supervised learning strategy (ISS)
extreme gradient boosting (XGB)
very-high-resolution (VHR)
A Multi-Scale Filtering Building Index for Building Extraction in Very High-Resolution Satellite Imagery
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 5
作者:
Bi, Qi
;
Qin, Kun
;
Zhang, Han
;
Zhang, Ye
;
Li, Zhili
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/05
building extraction
multi-scale filtering index
remote sensing dataset
very high-resolution remote sensing image
Training sample refining method using an adaptive neighbor to improve the classification performance of very high-spatial resolution remote sensing images
期刊论文
2019, 卷号: 13
作者:
Lv, ZhiYong
;
Li, GuangFei
;
Benediktsson, Jon Atli
;
Zhang, Zhou
;
Yan, JiXing
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/20
supervised classification
limited training sample
very high-spatial resolution remote sensing image
contextual spatial information
Urban Change Detection Based on Dempster-Shafer Theory for Multitemporal Very High-Resolution Imagery
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 7, 页码: 18
作者:
Luo, Hui
;
Liu, Chong
;
Wu, Chen
;
Guo, Xian
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/05/23
very high-resolution image
change detection
data fusion
D-S theory
Estimating aboveground biomass using Pleiades satellite image in a karst watershed of Guizhou Province, Southwestern China
期刊论文
Journal of Mountain Science, 2018, 卷号: 15, 期号: 5, 页码: 1020-1034
作者:
Yin-ming Guo
;
Jian Ni
;
Li-bin Liu
;
Yang-yang Wu
;
Chun-zi Guo
;
Xin Xu
;
Qiao-lian Zhong
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2019/05/09
Aboveground Biomass
Secondary Karst Forest
Artificial Neural Network
Vegetation Indices
Very High Resolution Satellite Image
Method Based on Edge Constraint and Fast Marching for Road Centerline Extraction from Very High-Resolution Remote Sensing Images
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 6
作者:
Gao, Lipeng
;
Shi, Wenzhong
;
Miao, Zelang
;
Lv, Zhiyong
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/05
road extraction
very high-resolution image
fast marching method
semiautomatic
edge constraint
Urban Change Detection Based on Dempster-Shafer Theory for Multitemporal Very High-Resolution Imagery
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 7
作者:
Luo, Hui
;
Liu, Chong
;
Wu, Chen
;
Guo, Xian
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/05
very high-resolution image
change detection
data fusion
D-S theory
Refining Land Cover Classification Maps Based on Dual-Adaptive Majority Voting Strategy for Very High Resolution Remote Sensing Images
期刊论文
2018, 卷号: 10
作者:
Cui, Guoqing
;
Lv, Zhiyong
;
Li, Guangfei
;
Benediktsson, Jon Atli
;
Lu, Yudong
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/20
land cover classification
very high spatial resolution remote sensing image
adaptive majority vote
post-classification
Method Based on Edge Constraint and Fast Marching for Road Centerline Extraction from Very High-Resolution Remote Sensing Images
期刊论文
2018, 卷号: 10
作者:
Gao, Lipeng
;
Shi, Wenzhong
;
Miao, Zelang
;
Lv, Zhiyong
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/20
road extraction
very high-resolution image
fast marching method
semiautomatic
edge constraint
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