Initial Study on Information Quantity of Point Cloud

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• 作者：Ronghua Yang ; Ying Hu ; Meiying Lü…
• 关键词：Point cloud ; Information entropy ; Information quantity
• 刊名：Journal of the Indian Society of Remote Sensing
• 出版年：2015
• 出版时间：June 2015
• 年：2015
• 卷：43
• 期：2
• 页码：243-258
• 全文大小：1,250 KB
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• 作者单位：Ronghua Yang (1)
  Ying Hu (1)
  Meiying Lü (2)
  Xianghong Hua (3)
  Hao Wu (4)
  
  1. School of Civil Engineering; Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education, Chongqing University, Chongqing, 400045, China
  2. College of Mathematics Science, Chongqing Normal University, Chongqing, 401331, China
  3. School of Geodesy & Geomatics, Wuhan University, Wuhan, 430079, China
  4. School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, 430070, China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Geosciences
  Remote Sensing and Photogrammetry
  
• 出版者：Springer India
• ISSN：0974-3006

文摘

The measure method of information quantity for terrestrial laser scanner (TLS) 3D point cloud data have seldom been studied in previous publications. In this paper, we mainly discuss how to measure information quantity of point cloud data. We give the procedure of measuring information quantity for point cloud, and obtain the formula of calculation. Furthermore, we calculate the information quantity of 5 types of point cloud data, which verified the feasibility of the information measure theory for point cloud.