中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [2]
采集方式
OAI收割 [2]
内容类型
期刊论文 [2]
发表日期
2020 [2]
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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:21/0
  |  
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
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:18/0
  |  
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