This article analyzes the potential application of wireless network remote sensing image and video processing technology in smart city design and planning. Through a comprehensive analysis of existing research, this article explores how to use these technologies to improve the accuracy and efficiency of urban planning and management, thereby enhancing the quality of life of urban residents. This article provides a detailed analysis of the application of wireless network remote sensing image and video processing technology in smart city design and planning through three experiments. Firstly, in the experiment of urban green space monitoring and optimization, the optimization measures aim to achieve a green coverage rate of 40% in all regions. Secondly, in the traffic flow monitoring and diversion experiment, the optimized traffic flow increases by an average of about 10%. Finally, in the emergency response optimization experiment, the emergency response time of each region is significantly shortened. In the above data conclusions, optimization techniques have shown excellent application value in improving the accuracy of urban planning, optimizing traffic management, and accelerating emergency response.

Lishan Xu, Weilai Liang. Application Analysis of Wireless Network Remote Sensing Image and Video Processing Technology in Smart City Design and Planning. International Journal of New Developments in Engineering and Society (2024) Vol.8, Issue 4: 70-77. https://doi.org/10.25236/IJNDES.2024.080409.

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