HUBEI AGRICULTURAL SCIENCES ›› 2019, Vol. 58 ›› Issue (24): 217-220.doi: 10.14088/j.cnki.issn0439-8114.2019.24.053

• Information Engineering • Previous Articles     Next Articles

Greenhouse information extraction of GF-1 satellite imagery with object-oriented method

WANG Xue-ying1, GUO Wei-hua2   

  1. 1.Shanxi Institute of Energy,Taiyuan 030600,China;
    2.Shanxi Jinou Land Mineral Consulting Service Co.,Ltd.,Taiyuan 030009,China
  • Received:2018-09-30 Online:2019-12-25 Published:2019-12-25

Abstract: The high score No.1 2 m full color/8 m multispectral image was selected as the data source, based on the study of the spectral curve of the study area, calculate the different land elements in the study area. The shape index was extracted by using the object-oriented method to extract the geographic information of the agricultural greenhouse, and the accuracy of the extraction result was verified and analyzed. The results showed that the accuracy of object-oriented extraction of geographic information in agricultural greenhouses reached 87.6%, which can meet the needs of land survey and planning.

Key words: agricultural greenhouse, high score satellite No.1, spectral curve, object-oriented

CLC Number: