Analysis of morphological characteristics of gravels based on digital image processing technology and self-organizing map  

作　　者：XU Tao YU Huan QIU Xia KONG Bo XIANG Qing XU Xiaoyu FU Hao 

机构地区：[1]College of Earth Science,Chengdu University of Technology,Chengdu 610059,China [2]Beijing SuperMap Software Co.,Ltd.,Beijing 100015,China [3]Sichuan Real Estate Registration Center,Chengdu 610014,China [4]Chengdu Institute of Mountain Land and Disasters,Chinese Academy of Sciences,Chengdu 610041,China [5]School of Earth Systems and Sustainability,Southern Illinois University Carbondale,Carbondale,IL 62901,United States of America [6]Environmental Resources and Policy,Southern Illinois University Carbondale,Carbondale,IL 62901,United States of America [7]Sichuan Institute of Land and Space Ecological Restoration and Geohazard Prevention,Chengdu 610081,China

出　　处：《Journal of Arid Land》2023年第3期310-326,共17页干旱区科学（英文版）

基　　金：funded by the National Natural Science Foundation of China(41971226,41871357);the Major Research and Development and Achievement Transformation Projects of Qinghai,China(2022-QY-224);the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA28110502,XDA19030303).

摘　　要：A comprehensive understanding of spatial distribution and clustering patterns of gravels is of great significance for ecological restoration and monitoring.However,traditional methods for studying gravels are low-efficiency and have many errors.This study researched the spatial distribution and cluster characteristics of gravels based on digital image processing technology combined with a self-organizing map(SOM)and multivariate statistical methods in the grassland of northern Tibetan Plateau.Moreover,the correlation of morphological parameters of gravels between different cluster groups and the environmental factors affecting gravel distribution were analyzed.The results showed that the morphological characteristics of gravels in northern region(cluster C)and southern region(cluster B)of the Tibetan Plateau were similar,with a low gravel coverage,small gravel diameter,and elongated shape.These regions were mainly distributed in high mountainous areas with large topographic relief.The central region(cluster A)has high coverage of gravels with a larger diameter,mainly distributed in high-altitude plains with smaller undulation.Principal component analysis(PCA)results showed that the gravel distribution of cluster A may be mainly affected by vegetation,while those in clusters B and C could be mainly affected by topography,climate,and soil.The study confirmed that the combination of digital image processing technology and SOM could effectively analyzed the spatial distribution characteristics of gravels,providing a new mode for gravel research.

关 键 词：self-organizing map digital image processing morphological characteristics multivariate statistical method environmental monitoring 

分 类 号：X14[环境科学与工程—环境科学] X171.1[自动化与计算机技术—计算机应用技术] TP391.41[自动化与计算机技术—计算机科学与技术]