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期刊名称

  • journal of applied remote sensing(2)
  • igarss 2020 - 2020 ieee international geoscience and remote sensing symposium(1)

关键词

  • high-resolution remote sensing image; classifier fusion; dempster-shafer evidence theory; image classification(1)
  • object-based image analysis; high-resolution remote sensing images; optimal segmentation scale; scene complexity(1)
  • random forest; maximum voting entropy; generalized euclidean distance; high-resolution remote sensing imagery; greenhouse identification(1)

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  • Feng, Tianjing AND Cheng, Xinwen AND Ma, Hairong(0)

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  • hubei acad agr sci, wuhan, peoples r china(2)
  • china univ geosci, fac geog & informat engn, wuhan, peoples r china(1)
  • china univ geosci, fac informat engn, wuhan, hubei, peoples r china(1)
  • china univ geosci, fac informat engn, wuhan, peoples r china(1)
  • hubei acad agr sci, wuhan, hubei, peoples r china(1)

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  • 2021(1)
  • 2020(1)
  • 2018(1)
科研产出
资源类型: 外文期刊
作者:Feng, Tianjing(精确检索)
作者:Cheng, Xinwen(精确检索)
作者:Ma, Hairong(精确检索)
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共3条记录
1Calculation of the optimal segmentation scale in object-based multiresolution segmentation based on the scene complexity of high-resolution remote sensing images

作者：

机构：

来源：JOURNAL OF APPLIED REMOTE SENSING

关键词： object-based image analysis; high-resolution remote sensing images; optimal segmentation scale; scene complexity

年份：2018

2Land-cover classification of high-resolution remote sensing image based on multi-classifier fusion and the improved Dempster-Shafer evidence theory

作者：

机构：

来源：JOURNAL OF APPLIED REMOTE SENSING

关键词： high-resolution remote sensing image; classifier fusion; Dempster-Shafer evidence theory; image classification

年份：2021

3GREENHOUSE EXTRACTION FROM HIGH-RESOLUTION REMOTE SENSING IMAGERY WITH IMPROVED RANDOM FOREST

作者：

机构：

来源：IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM

关键词： Random Forest; maximum voting entropy; generalized Euclidean distance; high-resolution remote sensing imagery; greenhouse identification

年份：2020

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