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

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

干旱区科学2023，Vol.15Issue(3)：310-326,17.

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

XU Tao ¹YU Huan ²QIU Xia ¹KONG Bo ³XIANG Qing ⁴XU Xiaoyu ¹FU Hao⁵

作者信息

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
折叠

摘要

关键词

self-organizing map/digital image processing/morphological characteristics/multivariate statistical method/environmental monitoring

Key words

self-organizing map/digital image processing/morphological characteristics/multivariate statistical method/environmental monitoring

引用本文复制引用

XU Tao,YU Huan,QIU Xia,KONG Bo,XIANG Qing,XU Xiaoyu,FU Hao..Analysis of morphological characteristics of gravels based on digital image processing technology and self-organizing map[J].干旱区科学,2023,15(3):310-326,17.

基金项目

This study was 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),and the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA28110502,XDA19030303). （41971226,41871357）

干旱区科学

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ISSN：1674-6767

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