HUBEI AGRICULTURAL SCIENCES ›› 2024, Vol. 63 ›› Issue (8): 158-163.doi: 10.14088/j.cnki.issn0439-8114.2024.08.027

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Design and implementation of a farmland scene visualization system based on drone photography technology

LIU Ming1, LI Yong-ke1, JIN Sheng1, LI Yue2, YU En1   

  1. 1. College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052, China;
    2. Urumqi Meteorological Satellite Ground Station, Urumqi 830002, China
  • Received:2023-10-18 Online:2024-08-25 Published:2024-09-05

Abstract: In order to quickly and accurately obtain digital images and 3D image information of large-scale farmland, a method based on drone tilt photography technology was proposed to construct high-precision farmland images and real-life 3D models. Taking Huaxing Farm in Changji City, Xinjiang Uygur Autonomous Region as the research area, based on the angle image date images collected by drones, the high-precision digital orthophoto images and 3D real-life models of farmland were made by using panoramic map construction technology and 3D modeling technology. On the basis of this data, it was integrated with basic information data of farmland to build a visualization system based on farmland scenes by B/S architecture. The results showed that this visualization system could visualize and display two-dimensional and three-dimensional views of farmland scenes.

Key words: digitization of farmland scene, visualization system, drone tilt photography technology, ContextCapture, 3D modeling technology

CLC Number: