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林业资源管理 ›› 2021, Vol. 0 ›› Issue (3): 96-100.doi: 10.13466/j.cnki.lyzygl.2021.03.015

• 科学研究 • 上一篇    下一篇

光谱信息支持下城区林地信息提取方法

林双双(), 钟九生(), 何鑫, 江丽, 段纪维, 代仁丽, 何志远   

  1. 贵州师范大学 地理与环境科学学院,贵阳 550025
  • 收稿日期:2021-04-25 修回日期:2021-05-13 出版日期:2021-06-28 发布日期:2021-08-04
  • 通讯作者: 钟九生
  • 作者简介:林双双(1994-),女,贵州黔南人,在读硕士,主要研究方向为图像处理、遥感图像目标检测与识别。Email: 379183875@qq.com
  • 基金资助:
    国家自然科学基金项目(41661081);黔科合平台人才([2017]5726-56)

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

摘要:

为了研究更具区域特征的林地信息提取方法,选取贵阳市部分区域作为研究对象,借助光谱信息对研究区地物信息进行预处理。结果表明:该方法有效减轻了分割模型的处理压力,用该方法提取结果与U-Net方法和NDVI阈值方法提取结果进行比较,其IoU达到了0.943 6,比U-Net方法和NDVI阈值方法分别高6.79%和15.74%,表明该方法对城市区域的林地信息提取具有有效性。

关键词: 光谱信息, 区域特征, 林地提取, 归一化植被指数, 深度学习

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

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