现代电子技术2018，Vol.41Issue(1)：67-70,4.DOI:10.16652/j.issn.1004-373x.2018.01.015
基于遥感图像分析的城市森林景观退化趋势测量技术
Remote sensing image analysis based measurement technology for degradation trend of urban forest landscape
摘要
Abstract
In order to comprehensively reflect the construction condition of urban ecological balance,and eliminate the de-fects of the current measurement method for degradation trend of urban forest landscape,a measurement method based on re-mote sensing image analysis is proposed for degradation trend of city forest landscape. The Vgtextract software is used to denoise and extract the long time series data in remote sensing image of urban forest landscape,and also extract the image resolution da-ta in the mode of dividing wave band. By analyzing the similarity of geographical subareas,the edge segmentation is carried out for the extracted image data to acquire the urban forest landscape in the image,and calculate the urban forest landscape index for integration. The integrated indexes of different periods of the city are subtracted to get the degradation data for description of the urban forest landscape degradation trend. The experimental results show that the proposed measurement method has good seg-mentation effect of urban forest landscape in remote sensing images,and small measured error.关键词
遥感图像/城市森林景观/退化趋势/测量偏差/图像分割/边缘分割Key words
remote sensing image/urban forest landscape/degradation trend/measurement error/image segmentation/edge segmentation分类
信息技术与安全科学引用本文复制引用
田鹏..基于遥感图像分析的城市森林景观退化趋势测量技术[J].现代电子技术,2018,41(1):67-70,4.基金项目
2016年河南省科技计划项目(162102310573):城市节点空间与特色文化互动发展研究 （162102310573）
2017年河南省社科规划项目(2017BZH010):城市"双修"视角下乡土景观的价值传承与可持续发展研究Project Supported by Science and Technology Plan Project of Henan Province in 2016(162102310573):Research on Interactive Development of Ur-ban Node Space and Characteristic Culture,Social Science Planning Project of Henan Province in 2017(2017BZH010):Research on Value Inheri-tance and Sustainable Development of Rural Landscape in the Perspective of Urban Ecological Rehabilitation and Urban Refurbishment. （2017BZH010）
