【摘要】 山地垂直带谱是地学信息图谱的一个重要组成部分。"带谱数字识别"就是利用现代数字方法和数据,对客观存在的山地垂直自然带谱进行提取,获取比较完备的山地垂直带连续图谱模式。这是从传统山地垂直带研究走向地学信息图谱研究的重要步骤,有助于使我们对山地垂直谱的认识上升到地学信息图谱的高度。本文探索MATLAB语言快速、准确地实现各种识别算法,结合VB.NET构建的用户操作界面,实现带谱的信息提取、分类集成和多样化表达。山地垂直自然带谱的数字识别分为3种不同的模式:山系单侧、山体单峰和山体多峰;依据各自不同的识别算法,可以得到山地连续的带谱模式。本文全面介绍了数字带谱、带谱数字识别的含义,以及数字识别模型的原理、算法和原型系统等实现过程。更多还原

【Abstract】 Geo-info Tupu methodology is a new direction for geographic researches,and it’s not only a way for presentation but also a method of analysis in geo-information science.Based on the idea of Geo-info Tupu and digital mountain altitudinal belts(digital MABs),the objective of this paper is to construct the models of multi-scales spatial patterns in altitudinal belts and develop the digital framework that identifies the horizontal and vertical differentiation from multi-source data.According to three patterns of digital identification,i.e.,single flank,single peak and multiple peaks,this paper develops different algorithms using the Matlab programme.Contrasting the identification patterns,we indicate the relative merits among them in digital identification and Tupu visualization,and show clearly their special scale for the study regions.Based on the VB.NET platform,we build a programming system,named "Mountain Altitudinal Belts Digital Identification System"(MABsDIS),which provides several modules with useful tool sets,such as data in-out module,data processing module and graphic plotting module.Using the MABsDIS software,the mountain altitudinal belts are identified from digital terrain models and digital vegetation data in the Helan Mountains,China.The study reveals that the digital identification of MABs could enrich the source materials of mountain researches and enhance the digital comparison and analysis method of MABs.And it also could reveal more geographical information than ever before and is an effective attempt for Geo-info Tupu practices.更多还原