应用科学学报 ›› 2021, Vol. 39 ›› Issue (6): 961-968.doi: 10.3969/j.issn.0255-8297.2021.06.007

• 信号与信息处理 • 上一篇    下一篇

石漠化遥感信息提取方法进展

种国双1,2, 海月1,2, 郑华1,2, 徐卫华1,2, 欧阳志云1,2   

  1. 1. 中国科学院生态环境研究中心 城市与区域生态国家重点实验室, 北京 100085;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2021-04-26 发布日期:2021-12-04
  • 通信作者: 欧阳志云,研究员,研究方向为生态系统服务功能、生态规划与生态评价、城市生态、生物多样性保护等。E-mail:zyouyang@rcees.ac.cn E-mail:zyouyang@rcees.ac.cn
  • 基金资助:
    国家重点研发计划课题(No.2016YFC0503402)资助

Progresses in Remote Sensing Information Extraction Methods for Rocky Desertification

CHONG Guoshuang1,2, HAI Yue1,2, ZHENG Hua1,2, XU Weihua1,2, OUYANG Zhiyun1,2   

  1. 1. State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2021-04-26 Published:2021-12-04

摘要: 梳理了石漠化研究领域内的相关文献,重点以遥感数据中的石漠化信息提取方法为主线,从石漠化评价指标、石漠化遥感信息提取两个方面进行分析和讨论,分析了人机交互解译、监督及非监督分类、面向对象等石漠化遥感信息提取方法以及多光谱遥感、高光谱遥感、微波遥感、无人机遥感等数据来源方面的进展与不足。并展望了中国当前石漠化地区遥感影像信息提取的发展,提出在未来研究中应重视石漠化程度分级指标的量化,同时应探索融合多源数据特征以进一步提升石漠化信息提取的精度。

关键词: 石漠化, 遥感信息, 喀斯特, 提取, 进展

Abstract: In this paper, relevant literatures in the field of rocky desertification research are summarized, and methods of extracting rocky desertification information from remote sensing data are taken as the main line to analyze and discuss the evaluation index of rocky desertification and remote sensing information extraction of rocky desertification. This paper also summarizes the progress and shortcomings of human-computer interactive interpretation, supervised classification, unsupervised classification, object-oriented classification, and remote sensing data extraction of rocky desertification information, including multi-spectral remote sensing, hyperspectral remote sensing, microwave remote sensing and unmanned aerial vehicle remote sensing. The future development trend of remote sensing image information extraction methods in rocky desertification areas in my country is prospected. It is pointed out that more attention should be paid to the quantification of the classification index of rocky desertification degree, and the further research on the fusion of multi-source data features should be conducted to improve the accuracy of rocky desertification information extraction.

Key words: rocky desertification, remote sensing information, karst, extraction, progresses

中图分类号: