Design of remote sensing-based geographic information system

Chuandong Yang

Article ID: 1662
Vol 5, Issue 1, 2022

VIEWS - 174 (Abstract) 153 (PDF)

Abstract


To deal with problems of traditional geographic information collection, such as low real-time, poor authenticity of the data, and unclear description of detailed areas, a design scheme of remote sensing-based geographic information system is proposed. The system mainly consists of information collection, imaging processing, data storage management, scene control and data transmission module. By use of remote sensing technology, the reflected and radiated electromagnetic waves of the target area are collected from a long distance to form an image, and the hue–intensity–saturation (HIS) transformation method is used to enhance the image definition. Weighted fusion algorithm is adopted to process the details of the image. The spatial database stores and manages the text and image data respectively, and establishes the attribute self-correlation mechanism to render the ground objects in the picture with SketchUp software. Finally, using RS422 protocol to transmit information can achieve the effect of multi-purpose, and enhance the anti-interference of the system. The experimental results show that the practical experience of the proposed system is excellent, the geographic information image presented is clear, and the edge details are clearly visible, which can provide users with effective geographic information data.


Keywords


Weighted Fusion Method; Remote Sensing Technique; Geographic Information; Image Processing; Image Enhance-ment

Full Text:

PDF


References


1. Sun D, Zeng W. Design and implementation of universal industry geographic information acquisi-tion platform. Science of Surveying and Mapping 2020; 45(6): 196–202.

2. Zhang H, Shang Y. Application prospect of UAV tilt photogrammetry technology in land survey. Science and Technology Innovation Herald 2020; 17(1): 40–41.

3. Shen S, Zhao Y, Cheng D, et al. An efficient method of investigating slope collapse by unmanned aerial vehicle remote sensing. Journal of Yangtze River Scientific Research Institute 2018; 35(4): 43–47, 53.

4. Wang M, Yang F. Intelligent remote sensing satel-lite and remote sensing image real-time service. Acta Geodaetica et Cartographica Sinica 2019; 48(12): 1586–1594.

5. Wang X, Zhang J, Wang Y. Image stitching of remote sensing infrared images with similarity prior based on correction of pose data. Infrared Technology 2019; 41(12): 1091–1099.

6. Cao J, Chen H, Zhang J. Research on multi-focus image fusion algorithm based on super resolution. Computer Engineering and Applications 2020; 56(3): 180–186.

7. Ren Y, Zhang Z, Wang G, et al. Design of high-speed image data transmission system based on DDR2. Application of Electronic Technique 2020; 46(1): 62–65.

8. Niu L, Li Y, Yang S, et al. UAV and satellite image fusion algorithm. Remote Sensing Information 2019; 34(4): 74–78.

9. Wang Y, Liu F, Chen Z. Image fusion algorithm based on improved weighted method and adaptive pulse coupled neural network in shearlet domain. Computer Science 2019; 46(4): 261–267.

10. Wang Z, Xu L, Yu Z. Method of handling suspended ground objects in tilt photography real scene model. Bulletin of Surveying and Mapping 2020; (5): 111–114.

11. Liu H, Liu X, Zhang K, et al. 3D model feature extraction based on light propagation simulation with monte Carlo method. Spectroscopy and Spectral Analysis 2020; 40(2): 385–390.

12. Wu R, Wang Z, Xi H. A DASH client optimization algorithm based on multiple servers. Computer Engineering 2018; 44(11): 306–312.

13. Hu G, Liu F, Dang W, et al. Application of remote sensing technology to geological mapping in the vegetation covered area of southwest Yunnan. Remote Sensing for Land & Resources 2019; 31(2): 227–233.

14. Yu K, Shan J, Wang Z, et al. Land use status monitoring in small scale by unmanned aerial vehicles (UAVs) observations. Jiangsu Journal of Agricultural Sciences 2019; 35(4): 107–113.

15. Liu D, Wang Z, Tong Q, et al. Research on oil-gas exploration using airborne hyerspectral remote sensing and its application effect. Acta Geologica Sinica 2019; 93(1): 272–284.




DOI: https://doi.org/10.24294/jgc.v5i1.1662

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License

This site is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.