基于计算机图形学的土壤质地自动分类系统  

Automatic Soil Texture Classification System Based on Computer Graphics

作　　者：张丽萍[1] 张镱锂[1] 王英安[1] 

机构地区：[1]中国科学院地理科学与资源研究所

出　　处：《地理科学进展》2006年第3期86-95,共10页Progress in Geography

基　　金：国家自然科学基金(40471009;90202012);国家重点基础研究发展计划(2005CB422006);中国科学院知识创新工程(KZCX3-SW-339)

摘　　要：国内外通行的国际制、美国农部制等土壤质地分类制,均采用传统的人工查找平面正三角坐标图方法获取质地名称,这对大批量土样费时费力、精度难以控制。结合国外土壤质地计算机分类方法研究的状况,本文基于计算机图形学技术,利用Visual Basic平台,设计并完成了更具实用性、更便于国内使用的土壤质地自动分类系统(STAC)。STAC系统的特点是简单、方便、快速、直观,具有单个或批量土壤质地的自动分类、图形显示、统计、分析以及支持用户自定义分类制等多种功能。文中着重阐述了其中的计算机图形学实现原理和关键技术。International and USDA＇s soil texture classification systems are prevalent in the world, which adopt additional manual inquiring of triangle coordinate diagram to realize the naming of soil texture. This takes a lot of time and energy and lacks precision control. To apply computer program can perform the same task easily, conveniently and fast. According to the oversea research status quo in soil texture automatic classification based on computer graphics, using Visual Basic （VB） a as platform, soil texture automatic classification system （STAC） is built the better practicability in China. The theories of STAC are mainly based on the fact that each point in the textural triangle represents a unique combination of clay, sand and silt content. For a given textural class, all combinations of clay, sand and silt content are bound by a polygon. Therefore, finding the textural class is equivalent to finding the polygon where the particular combination of clay, sand and silt content is located. The algorithm of the program is point-in-polygon algorithm, which can determine whether a point of known coordinates （clay percentage and sand percentage） lies inside a polygon in the textural triangle. STAC is simple, convenient, fast and explicit. STAC can be used in a Windows 95 console program and above without requiring installation. It realizes texture automatic naming of single as well as batch soil data and provides graphical display, statistics and analysis function, and user-defined classification, and can classify several thousands of soil samples in about a second.

关 键 词：土壤质地 平面正三角坐标图 计算机图形学 自动分类 

分 类 号：S155[农业科学—土壤学]