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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:19/0
  |  
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
Triplet Adversarial Domain Adaptation for Pixel-Level Classification of VHR Remote Sensing Images
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 5, 页码: 3558-3573
作者:
Yan, Liang
;
Fan, Bin
;
Liu, Hongmin
;
Huo, Chunlei
;
Xiang, Shiming
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/06/22
Domain adaptation (DA)
pixel-level classification
self-training
triplet adversarial learning
very high resolution (VHR)
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:34/0
  |  
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
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  |  
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
Detecting Large-Scale Urban Land Cover Changes from Very High Resolution Remote Sensing Images Using CNN-Based Classification
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 4
作者:
Zhang, Chi
;
Wei, Shiqing
;
Ji, Shunping
;
Lu, Meng
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  |  
浏览/下载:13/0
  |  
提交时间:2019/12/05
classification
change detection
convolutional neural networks
Atrous convolution
very-high-resolution remote sensing images
Geospatial Object Detection on High Resolution Remote Sensing Imagery Based on Double Multi-Scale Feature Pyramid Network
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 7
作者:
Zhang, Xiaodong
;
Zhu, Kun
;
Chen, Guanzhou
;
Tan, Xiaoliang
;
Zhang, Lifei
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/05
very-high-resolution (VHR) remote sensing imagery
object detection
multi-scale pyramidal features
multi-scale strategies
Long-Term Global Land Surface Satellite (GLASS) Fractional Vegetation Cover Product Derived From MODIS and AVHRR Data
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 2
作者:
Jia, Kun
;
Yang, Linqing
;
Liang, Shunlin
;
Xiao, Zhiqiang
;
Zhao, Xiang
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  |  
浏览/下载:9/0
  |  
提交时间:2019/12/05
Advanced very high resolution radiometer (AVHRR)
climate change
fractional vegetation cover (FVC)
global land surface
long time series data
Estimation of surface downward shortwave radiation over China from AVHRR data based on four machine learning methods.
期刊论文
Solar Energy, 2019, 卷号: Vol.177, 页码: 32-46
作者:
Wei, Yu
;
Zhang, Xiaotong
;
Hou, Ning
;
Zhang, Weiyu
;
Jia, Kun
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/17
AVHRR
(Advanced
very
high
resolution
radiometer)
*MACHINE
learning
*RANDOM
forest
(Algorithms)
*CLOUDS
Novel Multi-Scale Filter Profile-Based Framework for VHR Remote Sensing Image Classification
期刊论文
2019, 卷号: 11
作者:
Lv, Zhiyong
;
Li, Guangfei
;
Chen, Yixiang
;
Benediktsson, Jon Atli
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/20
remote sensing imagery
multi-scale filter profiles
very high resolution
land cover classification
Spatial-Spectral Feature Fusion Coupled with Multi-Scale Segmentation Voting Decision for Detecting Land Cover Change with VHR Remote Sensing Images
期刊论文
2019, 卷号: 11
作者:
Zheng, Zhifeng
;
Cao, Jiannong
;
Lv, Zhiyong
;
Benediktsson, Jon Atli
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/20
land cover change detection
very high resolution
bi-temporal remote sensing images
spatial-spectral features
multi-scale segmentation
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