Quantitative Analysis Of Surface Landscape Elements In Landscape Environment Design Based On ECognition High-scoring Remote Sensing Image

Landscape elements are important components of the landscape environment.Most of them are based on green vegetation elements,and artificial and natural landscape elements are highly compounded.They are the basic content of scientific research work such as digital landscape architecture research and analysis,planning,and design.Related research is moving from perceptual to rational,from qualitative to quantitative,from reading analysis and cognition to high-precision,pixelated image analysis and algorithm description.The use of emerging remote sensing image analysis technology to accurately determine the elements of the surface landscape,combined with algorithm innovation to achieve automatic identification and accuracy improvement of remote sensing image data,is a problem of concern in contemporary digital landscape remote sensing research.This study relies on the parametric landscape and garden coupling theory,combined with high-scoring remote sensing imagery,data analysis,and research advances in intelligent image recognition technology,focusing on the landscape elements in the early development and deepening of landscape environment planning and design to digitally identify real-world problems in landscape design,using eCognition remote sensing to analysis platform conducts quantitative analysis of landscape elements.The study combines the planning and design case of Songlingtou Tea Garden in Liyang,based on the multispectral fusion of remote sensing image data from Resource 3 satellite,and uses object-oriented classification methods to perform interpretation experiments on the images.It uses spectral heterogeneity and NDVI index as the images.Classification characteristics,through CART decision tree and other algorithms to explore and innovate,quantitatively extract 10 types of surface landscape element information from trees,shrubs,ground covers,beaches,buildings,roads,bare land,water bodies,tea gardens and bamboo forests,and analyze the accuracy of the analysis.Regression analysis and quantitative evaluation,in order to scientifically present the distribution of surface landscape elements in the study case.The thesis also combined with the remote sensing analysis conclusions,carried out the planning and design research and practice of the Poyang Songlingtou Tea Cultural Park project,and verified the practical application ability of related technologies.This study provides a digital landscape background,eCognition-based high-level remote sensing image analysis and quantitative analysis method of landscape elements on the background of digital landscapes in the context of digital landscapes,forming a research and engineering practice for landscape remote sensing Demand,with high-altitude,highprecision,large-scale characteristics,and has remote sensing analysis special technology that can be used for reference and development potential.