Research on Flood Disaster Monitoring and Early Warning Technology Based on UAV Remote Sensing and AI Algorithm

International Journal of Communication Networks and Information Security (IJCNIS) Pub Date : 2024-07-25 DOI:10.17762/ijcnis.v16i2.6635

Zhongliang Zhang, Changyuan Wang

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Abstract

This paper, based on UAV far-flung sensing science and synthetic brain algorithm, studies the monitoring and early warning technological know-how of flood catastrophes. Firstly, the far-flung sensing monitoring science of flood catastrophes is summarized. Then, blended with geographic records machine (GIS) technology, the UAV far-flung sensing science software in flood catastrophe monitoring is analyzed. Finally, combining the micro-UAV technological know-how and AI technology, the key applied sciences of the micro-UAV flood catastrophe monitoring and early warning device primarily based on AI imaginative and prescient are studied, along with the lookup of the micro-UAV key gadget and the lookup of AI imaginative and prescient key technology. The key device lookup of micro-UAV is the definition of mindset. Mindset A mindset lookup on key applied sciences of AI, imaginative and prescient broadly speaking, expounds the precept of CNN and introduces Faster RCNN. It lays the groundwork for the later lookup on flood catastrophe monitoring and early warning technological know-how primarily based on UAV far-off sensing and AI algorithms.

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基于无人机遥感和人工智能算法的洪水灾害监测与预警技术研究

本文基于无人机远感科学和合成大脑算法，研究了洪涝灾害监测预警技术诀窍。首先，总结了洪水灾害的远感监测科学。然后，结合地理信息系统（GIS）技术，分析了无人机远感科学软件在洪水灾害监测中的应用。最后，将微型无人机技术与人工智能技术相结合，研究了基于人工智能预想的微型无人机洪涝灾害监测预警装置的关键应用技术，以及微型无人机关键设备的查找和人工智能预想关键技术的查找。微型无人机关键设备的查找是思维方式的定义。思维模式关于人工智能关键应用科学的思维模式查询，广义上的想象力和预知力，阐述了 CNN 的概念，并介绍了 Faster RCNN。它为后面基于无人机远距离传感和人工智能算法的洪水灾害监测和预警技术知识的研究奠定了基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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International Journal of Communication Networks and Information Security (IJCNIS)

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