地貌形态多尺度综合分类方法
收稿日期: 2021-05-18
修回日期: 2021-11-19
网络出版日期: 2022-03-30
基金资助
甘肃省科技计划资助(20YF3GA013);兰州交通大学优秀平台支持(201806)
A multi-scale integrated classification method for landforms
Received date: 2021-05-18
Revised date: 2021-11-19
Online published: 2022-03-30
杨维涛,孙建国,马恒利,黄卓 . 地貌形态多尺度综合分类方法[J]. 干旱区研究, 2022 , 39(2) : 638 -645 . DOI: 10.13866/j.azr.2022.02.30
Landform objects span a broad range of sizes. Existing automatic landform classification methods do not fully consider size, however, which restricts classification accuracy. This study proposes a multi-scale integrated classification method for landform that considers the size of different features. The method consists of three steps: multi-scale segmentation, screening according to scale order, and multi-scale merging. The screening according to scale order is an iterative confirmation process of classified objects based on multi-scale feature extraction and supervised classification, with small scale (small size) priority and probability maximization as criteria. According to experimental results from the Loess Plateau, the method is simple and reliable (overall accuracy reached 75.16% and the Kappa coefficient reached 0.71) and can be used for detailed classification of landform.
Key words: landforms; classification; multi-scale; Loess Plateau
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