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A Decentralised Disaster Detection Approach Using Image Data

机译:使用图像数据的分散式灾难检测方法

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Flood disaster mostly happens due to instant heavy rain fall or sudden increase in water level in rivers. Such natural disaster may results in excessive loss of human life and property. However, it is very important to aware the residential areas before and during the disaster by disseminating information. With the rapid development of devices embedded with internetof- things (IoT), this may bring a lot of benefits to propagate the information among people. In this work, we proposed a decentralized disaster detection approach using image data. The proposed framework consist of set of sensor devices capable of capturing the images. Each device is able to process the image and generate warning alarm based on its decision. For detection of flood, we applied thresholding-based segmentation and morphological operations. We performed extensive experiments to validate our proposed approach. For analysis purpose, we considered images taken from different distance and our proposed approach provides promising results.
机译:洪水灾害主要是由于瞬间大雨或河流水位突然升高而发生的。这种自然灾害可能导致人员伤亡和财产损失。但是,通过传播信息来了解灾前和灾中的居民区非常重要。随着嵌入物联网(IoT)的设备的飞速发展,这可能会在人们之间传播信息带来很多好处。在这项工作中,我们提出了一种使用图像数据的分散式灾难检测方法。所提出的框架包括一组能够捕获图像的传感器设备。每个设备都能够处理图像并根据其决定生成警告警报。为了检测洪水,我们应用了基于阈值的分割和形态学运算。我们进行了广泛的实验以验证我们提出的方法。出于分析目的,我们考虑了从不同距离拍摄的图像,并且我们提出的方法提供了有希望的结果。

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