Art
J-GLOBAL ID:202402240417124299   Reference number:24A0212367

An Efficient LiDAR Point Cloud Map Coding Scheme Based on Segmentation and Frame-Inserting Network

セグメンテーションとフレーム挿入ネットワークに基づく効率的なLiDARポイントクラウドマップ符号化方式【JST・京大機械翻訳】
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Volume: 22  Issue: 14  Page: 5108  Publication year: 2022 
JST Material Number: U7015A  ISSN: 1424-8220  CODEN: SENSC9  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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In this article, we present an...
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Electronic navigation in general  ,  Graphic and image processing in general  ,  Radar 
Reference (43):
  • Wang, C.; Ji, M.; Wang, J.; Wen, W.; Li, T.; Sun, Y. An improved DBSCAN method for LiDAR data segmentation with automatic Eps estimation. Sensors 2019, 19, 172.
  • McGlade, J.; Wallace, L.; Reinke, K.; Jones, S. The potential of low-cost 3D imaging technologies for forestry applications: Setting a research agenda for low-cost remote sensing inventory tasks. Forests 2022, 13, 204.
  • Guimarães, N.; Pádua, L.; Marques, P.; Silva, N.; Peres, E.; Sousa, J.J. Forestry remote sensing from unmanned aerial vehicles: A review focusing on the data, processing and potentialities. Remote Sens. 2020, 12, 1046.
  • Sadeghifar, T.; Lama, G.; Sihag, P.; Bayram, A.; Kisi, O. Wave height predictions in complex sea flows through soft-computing models: Case study of Persian Gulf. Ocean Eng. 2022, 245, 110467.
  • Gale, M.G.; Cary, G.J.; Van Dijk, A.I.; Yebra, M. Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour. Remote Sens. Environ. 2021, 255, 112282.
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