集成集成预测约束和误差预测熵最大化的MLS点云分类方法

遥感学报 Pub Date : 2023-01-01 DOI:10.11834/jrs.20233174

Xiangda Lei, Haiyan Guan, Zhen Dong

引用次数: 0

摘要

餈銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵我很喜欢这篇文章。移动式激光扫描仪 MLS我很高兴能在这里工作。炖菜炖汤：炖汤的时候要注意炖的时间，炖的时间越长，汤的味道就越浓，炖的时间越长，汤的味道就越淡，炖的时间越长，汤的味道就越浓。炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮炖煮我想去多伦多3DWHU看看。MLS巴黎83。68%ã44.19%ã65.85%ï¼ï¼è¡¨æäºæ¹æ³æ¹ççææææ§ã

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Integrating ensemble prediction constraints and error prediction entropy maximization for MLS point cloud classification method

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来源期刊

遥感学报 Social Sciences-Geography, Planning and Development

CiteScore

3.60

自引率

0.00%

发文量

3200

期刊介绍： The predecessor of Journal of Remote Sensing is Remote Sensing of Environment, which was founded in 1986. It was born in the beginning of China's remote sensing career and is the first remote sensing journal that has grown up with the development of China's remote sensing career. Since its inception, the Journal of Remote Sensing has published a large number of the latest scientific research results in China and the results of nationally-supported research projects in the light of the priorities and needs of China's remote sensing endeavours at different times, playing a great role in the development of remote sensing science and technology and the cultivation of talents in China, and becoming the most influential academic journal in the field of remote sensing and geographic information science in China. As the only national comprehensive academic journal in the field of remote sensing in China, Journal of Remote Sensing is dedicated to reporting the research reports, stage-by-stage research briefs and high-level reviews in the field of remote sensing and its related disciplines with international and domestic advanced level. It focuses on new concepts, results and progress in this field. It covers the basic theories of remote sensing, the development of remote sensing technology and the application of remote sensing in the fields of agriculture, forestry, hydrology, geology, mining, oceanography, mapping and other resource and environmental fields as well as in disaster monitoring, research on geographic information systems (GIS), and the integration of remote sensing with GIS and the Global Navigation Satellite System (GNSS) and its applications.