利用哨点图像和基于机器学习的分类算法提高红树林绘图的准确性

IF 1 4区地球科学 Q4 GEOGRAPHY, PHYSICAL

Journal of Spatial Science Pub Date : 2024-04-08 DOI:10.1080/14498596.2024.2337747

Anang Dwi Purwanto, Ketut Wikantika, Albertus Deliar, Soni Darmawan, Agung Budi Harto, Muhammad Rokhis Khomarudin, Erwin Riyanto Ardli

引用次数: 0

摘要

国家红树林恢复需要高精度的红树林空间信息。这项研究成功地开发了可测量的分类算法，用于绘制红树林分布图。

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.