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自动化研究所 [2]
武汉大学 [2]
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会议论文 [11]
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Multi-Task Learning for Semantic Change Detection on VHR Remote Sensing Images
会议论文
Kuala Lumpur, Malaysia, 2022-7-17
作者:
Yuan Zhou
;
Jiahang Zhu
;
Leigang Huo
;
Chunlei Huo
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/06/16
Change detection
Multi-task learning
Semantic segmentation
Low-Light Remote Sensing Images Enhancement Algorithm Based on Fully Convolutional Neural Network
会议论文
Xi'an, China, 2018-10-03
作者:
Jian, Wuzhen
;
Zhao, Hui
;
Bai, Zhe
;
Fan, Xuewu
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  |  
浏览/下载:17/0
  |  
提交时间:2019/05/22
Attention based network for remote sensing scene classification
会议论文
Valencia, Spain, 2018-07-22
作者:
Liu, Shaoteng
;
Wang, Qi
;
Li, Xuelong
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  |  
浏览/下载:11/0
  |  
提交时间:2019/05/13
Simultaneous change region and pattern identification for VHR images
会议论文
北京, 2016.7.10-2016.7.15
作者:
Huo LG(霍雷刚)
;
Huo CL(霍春雷)
;
Huo CL(霍春雷)
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2016/10/24
Change Detection
Change Pattern
Feature Classification
Feature Transformation
Distance Tuning.
High Resolution Interferometric Radar Imaging of a Moving Train
会议论文
17th International Radar Symposium (IRS), Krakow, POLAND, MAY 10-12, 2016
作者:
Zhai, Wenshuai
;
Zhang, Yunhua
;
Shi, Xiaojin
;
Yang, Qingshan
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2017/01/18
Stepped frequency
high resolution
interferometric imaging
moving target
micro-motion
Automatic Extraction of Road Regions of Interest(ROI) from Very High Resolution Remote Sensing Images
会议论文
作者:
Lv, Ye
;
Wang, Guofeng
;
Hu, Xiangyun
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  |  
浏览/下载:1/0
  |  
提交时间:2019/12/05
Automatic extraction of road regions of interest(ROI) from very high resolution remote sensing images
会议论文
作者:
Lv, Ye
;
Wang, Guofeng
;
Hu, Xiangyun
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  |  
浏览/下载:1/0
  |  
提交时间:2019/12/05
The Characteristics of Landslides Induced by the Wenchuan Earthquake Based on High Spatial Resolution Remote Sensing Images
会议论文
the International Symposium on Earthquake-Induced Landslides, Kiryu, Japan, 2012
作者:
Zhang JQ
;
Su FH
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  |  
浏览/下载:29/0
  |  
提交时间:2014/10/24
Wenchuan earthquake
Landslide
High resolution remote sensing
Improvement of urban land use and land cover classification approach in arid areas
会议论文
Proceedings of SPIE - The International Society for Optical Engineering, Image and Signal Processing for Remote Sensing XVI, Toulouse, France, 2010
Qian
;
Jing1
;
2
;
Zhou
;
Qiming1
;
Chen
;
Xi2
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  |  
浏览/下载:31/0
  |  
提交时间:2011/08/23
Arid regions - Image analysis - Image classification - Land use - Landforms - Maximum likelihood - Photography - Pixels - Remote sensing - Signal processing - Aerial Photographs - Arid area - Bare soils - Beijing-1 - Built-up areas - Classification approach - Classification results - Construction materials - Data sets - Discrete elements - Extraction accuracy - Field investigation - High resolution image - Land-cover types - Landsat ETM - Maximum likelihood classifications - Mixed pixel - Multi-sensor data - Object oriented - object-oriented classification method - Object-oriented processing - Spectral characteristics - Stony deserts - Urban areas - Urban change detection - Urban environments - Urban land use
SHADOW DETECTION IN VERY HIGH-RESOLUTION SATELLITE IMAGES BY EXTENDED RANDOM WALKER
会议论文
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 3775-3778, 2017
作者:
Huang, YF
;
Kang, XD
;
Li, ST
;
Lu, T
;
Lin, H
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/26
Remote sensing image
shadow detection
support vector machine
extended random walker
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