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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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长春光学精密机械与... [35]
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OAI收割 [59]
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会议论文 [36]
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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
OAI收割
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:61/0
  |  
提交时间:2021/11/05
Water Segmentation
Pixel-based CNN
ROI
U-net
Mongolia
Comprehensive evaluation of precipitation datasets over Iran
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2021, 卷号: 603, 页码: 23
作者:
Saemian, Peyman
;
Hosseini-Moghari, Seyed-Mohammad
;
Fatehi, Iman
;
Shoarinezhad, Vahid
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/09/21
Gauge-based products
Reanalysis products
Satellite observations
Statistical evaluation
Point-to-pixel approach
Pixel-to-pixel approach
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
OAI收割
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:22/0
  |  
提交时间:2021/11/05
Water Segmentation
Pixel-based CNN
ROI
U-net
Mongolia
Comprehensive evaluation of precipitation datasets over Iran
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2021, 卷号: 603, 页码: 23
作者:
Saemian, Peyman
;
Hosseini-Moghari, Seyed-Mohammad
;
Fatehi, Iman
;
Shoarinezhad, Vahid
;
Modiri, Ehsan
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/09/21
Gauge-based products
Reanalysis products
Satellite observations
Statistical evaluation
Point-to-pixel approach
Pixel-to-pixel approach
Mapping Panax Notoginseng Plantations by Using an Integrated Pixel- and Object-Based (IPOB) Approach and ZY-3 Imagery
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 11, 页码: 22
作者:
Yang, Zhiqi
;
Dong, Jinwei
;
Kou, Weili
;
Qin, Yuanwei
;
Xiao, Xiangming
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2021/08/19
Random Forest
integrated pixel- and object-based (IPOB) approach
feature selection
segmentation
Panax notoginseng
Mapping Panax Notoginseng Plantations by Using an Integrated Pixel- and Object-Based (IPOB) Approach and ZY-3 Imagery
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 11, 页码: 22
作者:
Yang, Zhiqi
;
Dong, Jinwei
;
Kou, Weili
;
Qin, Yuanwei
;
Xiao, Xiangming
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/08/19
Random Forest
integrated pixel- and object-based (IPOB) approach
feature selection
segmentation
Panax notoginseng
Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine
期刊论文
OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 163, 页码: 312-326
作者:
Wang, Xinxin
;
Xiao, Xiangming
;
Zou, Zhenhua
;
Hou, Luyao
;
Qin, Yuanwei
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2021/03/23
Coastal wetlands
Tidal flats
Coastal vegetation
Time series Landsat images
Pixel- and phenology-based algorithm
Google Earth Engine
China
Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine
期刊论文
OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 163, 页码: 312-326
作者:
Wang, Xinxin
;
Xiao, Xiangming
;
Zou, Zhenhua
;
Hou, Luyao
;
Qin, Yuanwei
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2021/03/23
Coastal wetlands
Tidal flats
Coastal vegetation
Time series Landsat images
Pixel- and phenology-based algorithm
Google Earth Engine
China
Tracking annual changes of coastal tidal flats in China during 1986-2016 through analyses of Landsat images with Google Earth Engine
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2020, 卷号: 238, 页码: 15
作者:
Wang, Xinxin
;
Xiao, Xiangming
;
Zou, Zhenhua
;
Chen, Bangqian
;
Ma, Jun
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2020/05/19
Tidal flats
Time series Landsat images
Pixel and frequency-based algorithm
Google Earth Engine
China coastal zone
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
OAI收割
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:22/0
  |  
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