Salt Land classification based on pansharpening images using Random Forest algorithm

IF 1 4区地球科学 Q4 GEOGRAPHY, PHYSICAL

Journal of Spatial Science Pub Date : 2023-10-19 DOI:10.1080/14498596.2023.2267013

Diastarini Diastarini, Riantini Virtriana, Agung Budi Harto

引用次数: 0

Abstract

ABSTRACTThe analysis and policymaking of national salt production require quality Salt Land maps with more detailed object information. This study successfully classified Salt Land into Active and Inactive based on pansharpening images using random forest algorithm. The results show: 1) the best pansharpening method is UNB PanSharp; 2) the texture variables have more significant contributions to enhance classification accuracy; 3) scheme 5 is the most efficient and recommended scheme in research, achieves an OA of 66.699% and a Kappa coefficient of 39.4%. This study can provide a good reference for developing Salt Land mapping and policies for practitioners or stakeholders.KEYWORDS: Salt LandpansharpeningRandom Forest algorithm Disclosure statementNo potential conflict of interest was reported by the author(s).

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基于随机森林算法的pansharpening图像的盐地分类

摘要国家盐业生产的分析和决策需要高质量的盐地地图，并提供更详细的目标信息。本研究利用随机森林算法，在pansharpening图像的基础上，成功地将Salt Land划分为Active和Inactive。结果表明:1)UNB PanSharp是最佳的泛锐化方法;2)纹理变量对分类准确率的提升贡献更显著;3)方案5是目前研究中最有效的推荐方案，OA为66.699%，Kappa系数为39.4%。本研究可为盐地测绘及相关政策的制定提供参考。关键词:盐田sharpenrandom Forest算法披露声明作者未报告潜在利益冲突。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Spatial Science 地学-地质学

CiteScore

5.00

自引率

5.30%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Spatial Science publishes papers broadly across the spatial sciences including such areas as cartography, geodesy, geographic information science, hydrography, digital image analysis and photogrammetry, remote sensing, surveying and related areas. Two types of papers are published by he journal: Research Papers and Professional Papers. Research Papers (including reviews) are peer-reviewed and must meet a minimum standard of making a contribution to the knowledge base of an area of the spatial sciences. This can be achieved through the empirical or theoretical contribution to knowledge that produces significant new outcomes. It is anticipated that Professional Papers will be written by industry practitioners. Professional Papers describe innovative aspects of professional practise and applications that advance the development of the spatial industry.