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FOREST RESOURCES WANAGEMENT ›› 2021, Vol. 0 ›› Issue (3): 96-100.doi: 10.13466/j.cnki.lyzygl.2021.03.015

• Scientific Research • Previous Articles     Next Articles

Extraction Method of Urban Forest Land Information Based on Spectral Information

LIN Shuangshuang(), ZHONG Jiusheng(), HE Xin, JIANG Li, DUAN Jiwei, DAI Renli, HE Zhiyuan   

  1. College of Geography and Environmental Science,Guizhou Normal University,Guiyang 550025,China
  • Received:2021-04-25 Revised:2021-05-13 Online:2021-06-28 Published:2021-08-04
  • Contact: ZHONG Jiusheng E-mail:379183875@qq.com;332476076@qq.com

Abstract:

In order to study the extraction method of forest land information with more regional characteristics,some regions of Guiyang were selected as the research object,and the terrain information was preprocessed with the help of spectral information.The results showed that this method can effectively reduce the pressure of the segmentation model,and the IoU of this method was 0.943 6,which was 6.79% and 15.74% higher than U-Net method and NDVI threshold method respectively,,showing that the method is effective for extracting forest land information in urban area.

Key words: spectral information, regional characteristics, woodland extraction, normalized vegetation index, deep learning

CLC Number: