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科研机构
地理科学与资源研究... [23]
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期刊论文 [15]
SCI/SSCI论文 [6]
EI期刊论文 [1]
会议论文 [1]
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2021 [1]
2020 [4]
2019 [2]
2018 [4]
2016 [1]
2013 [2]
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专题:地理科学与资源研究所
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Effectiveness of machine learning methods for water segmentation with ROI as the label: A case study of the Tuul River in Mongolia
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 卷号: 103, 页码: 11
作者:
Li, Kai
;
Wang, Juanle
;
Yao, Jinyi
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2021/11/05
Water Segmentation
Pixel-based CNN
ROI
U-net
Mongolia
Wild animal survey using UAS imagery and deep learning: modified Faster R-CNN for kiang detection in Tibetan Plateau
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 169, 页码: 364-376
作者:
Peng, Jinbang
;
Wang, Dongliang
;
Liao, Xiaohan
;
Shao, Quanqin
;
Sun, Zhigang
收藏
  |  
浏览/下载:113/0
  |  
提交时间:2021/03/16
Wild animal survey
Deep learning
Object detection
Unmanned aircraft systems (UAS)
A Partition-Based Detection of Urban Villages Using High-Resolution Remote Sensing Imagery in Guangzhou, China
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 14, 页码: 19
作者:
Zhao, Lu
;
Ren, Hongyan
;
Cui, Cheng
;
Huang, Yaohuan
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2021/03/18
urban villages
highly urbanized region
partition strategy
random forest
high-resolution remote sensing images
Obtaining Urban Waterlogging Depths from Video Images Using Synthetic Image Data
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 6, 页码: 14
作者:
Jiang, Jingchao
;
Qin, Cheng-Zhi
;
Yu, Juan
;
Cheng, Changxiu
;
Liu, Junzhi
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2021/03/23
urban flooding
waterlogging depth
video image
synthetic image data
reference object detection
convolutional neural network
Comparing Pixel-Based Random Forest and the Object-Based Support Vector Machine Approaches to Map the Quasi-Circular Vegetation Patches Using Individual Seasonal Fused GF-1 Imagery
期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 228955-228966
作者:
Shi, Lei
;
Liu, Qingsheng
;
Huang, Chong
;
Li, He
;
Liu, Gaohuan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2021/03/15
Vegetation mapping
Support vector machines
Radio frequency
Spatial resolution
Satellites
Vegetation
Remote sensing
Gaofen 1 satellite imagery
objected-based support vector machine
pixel-based random forest
quasi-circular vegetation patch
season influence
Accurate Building Extraction from Fused DSM and UAV Images Using a Chain Fully Convolutional Neural Network
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 24, 页码: 18
作者:
Liu, Wei
;
Yang, MengYuan
;
Xie, Meng
;
Guo, Zihui
;
Li, ErZhu
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/05/19
building extraction
digital surface model
unmanned aerial vehicle images
chain full convolution neural network
fusion
Extracting Coastal Raft Aquaculture Data from Landsat 8 OLI Imagery
期刊论文
SENSORS, 2019, 卷号: 19, 期号: 5, 页码: 15
作者:
Wang, Jun
;
Sui, Lichun
;
Yang, Xiaomei
;
Wang, Zhihua
;
Liu, Yueming
收藏
  |  
浏览/下载:64/0
  |  
提交时间:2019/05/22
coastal raft aquaculture
remote sensing
Landsat 8 OLI
NDVI
edge detection
GEOBIA
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
A scale self-adapting segmentation approach and knowledge transfer for automatically updating land use/cover change databases using high spatial resolution images
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2018, 卷号: 69, 页码: 88-98
作者:
Wang, Zhihua
;
Yang, Xiaomei
;
Lu, Chen
;
Yang, Fengshuo
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2019/05/23
Ocean disaster
Coastal area
Land use/cover change
High spatial resolution images
GEOBIA
Scale issue
Region Merging Considering Within- and Between-Segment Heterogeneity: An Improved Hybrid Remote-Sensing Image Segmentation Method
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 5, 页码: 26
作者:
Wang, Yongji
;
Meng, Qingyan
;
Qi, Qingwen
;
Yang, Jian
;
Liu, Ying
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2019/05/23
image segmentation
region merging
within- and between-segment heterogeneity
watershed transformation
geographic object-based image analysis (GEOBIA)
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