Hybrid feature selection for cropland identification using GF-5 satellite image

CHEN Zhulin; JIA Kun; LI Qiangzi; XIAO Chenchao; WEI Dandan; ZHAO Xiang; WEI Xiangqin; YAO Yunjun; LI Juan

doi:10.11834/jrs.20220458

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Hybrid feature selection for cropland identification using GF-5 satellite image
- role：First author第一作者
- Affiliation：
  State Key Laboratory of Remote Sensing, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  Beijing Engineering Research Center for Global Land Remote Sensing Products, Beijing Normal University, Beijing 100875, China
- Email：chenzhulin@mail.bnu.edu.cn
- Introduction：陈珠琳，研究方向为资源环境遥感。E-mail： chenzhulin@mail.bnu.edu.cn
CHEN Zhulin
12 * ,
- role：Corresponding author通信作者
- Affiliation：
  State Key Laboratory of Remote Sensing, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  Beijing Engineering Research Center for Global Land Remote Sensing Products, Beijing Normal University, Beijing 100875, China
- Email：jiakun@bnu.edu.cn
- Introduction：贾坤，研究方向为植被定量遥感，土地覆盖遥感分类和生态遥感。E-mail： jiakun@bnu.edu.cn
JIA Kun
12 * ,
- Affiliation：
  Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
LI Qiangzi
3 * ,
- Affiliation：
  Land Satellite Remote Sensing Application Center, Ministry of Natural Resource of the People's Republic of China, Beijing 100048, China
XIAO Chenchao
4 * ,
- Affiliation：
  Land Satellite Remote Sensing Application Center, Ministry of Natural Resource of the People's Republic of China, Beijing 100048, China
WEI Dandan
4 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  Beijing Engineering Research Center for Global Land Remote Sensing Products, Beijing Normal University, Beijing 100875, China
ZHAO Xiang
12 * ,
- Affiliation：
  Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
WEI Xiangqin
3 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  Beijing Engineering Research Center for Global Land Remote Sensing Products, Beijing Normal University, Beijing 100875, China
YAO Yunjun
12 * ,
- Affiliation：
  Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
LI Juan
3 *
Vol. 26, Issue 7, Pages: 1383-1394(2022)
DOI：10.11834/jrs.20220458
Accepted：

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Hybrid feature selection for cropland identification using GF-5 satellite image

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Hybrid feature selection for cropland identification using GF-5 satellite image

CHEN Zhulin

JIA Kun

LI Qiangzi

XIAO Chenchao

WEI Dandan

ZHAO Xiang

WEI Xiangqin

YAO Yunjun

LI Juan

DOI：10.11834/jrs.20220458

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Figs( 10 ) Tabs( 5 )

References

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