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利用 PSO-BPNN 方法进行黄龙洞石状态的高光谱识别

IF 3.3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Geocarto International Pub Date : 2024-07-01 DOI:10.1080/10106049.2024.2365886
Menghui Xu, Weihong Wang, Jialun Cai, Qunwei Dai, Jing Fan, Sicheng Li
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引用次数: 0

摘要

中国黄龙风景名胜区是联合国教科文组织认定的世界遗产，以其规模宏大、类型多样、结构复杂、色彩鲜艳的地表石灰华而闻名于世。
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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Hyperspectral identification of travertine state in Huanglong by the PSO-BPNN method
The Huanglong Scenic and Historic Interest Area in China, a UNESCO World Heritage Site, is famous for its large-scale, diverse, intricately structured, and brightly colored surface travertine lands...
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来源期刊
Geocarto International
Geocarto International ENVIRONMENTAL SCIENCES-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
6.30
自引率
13.20%
发文量
407
审稿时长
>12 weeks
期刊介绍： Geocarto International is a professional academic journal serving the world-wide scientific and user community in the fields of remote sensing, GIS, geoscience and environmental sciences. The journal is designed: to promote multidisciplinary research in and application of remote sensing and GIS in geosciences and environmental sciences; to enhance international exchange of information on new developments and applications in the field of remote sensing and GIS and related disciplines; to foster interest in and understanding of science and applications on remote sensing and GIS technologies; and to encourage the publication of timely papers and research results on remote sensing and GIS applications in geosciences and environmental sciences from the world-wide science community. The journal welcomes contributions on the following: precise, illustrated papers on new developments, technologies and applications of remote sensing; research results in remote sensing, GISciences and related disciplines; Reports on new and innovative applications and projects in these areas; and assessment and evaluation of new remote sensing and GIS equipment, software and hardware.
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