Adversarial Fusion Network for Forest Fire Smoke Detection

Histogram-based Smoke Segmentation in Forest Fire Detection System

A focus of this paper is a pixel level analysis and segmentation of smoke colored pixels for the automated forest fire detection. Variations in the smoke color tones, environmental illumination, atmospheric conditions and low quality of the images of wide outdoor area make smoke detection a complex task. In order to find an efficient combination of a color space and pixel level smoke segmentati...

Forest Fire Smoke Detection Using Back-Propagation Neural Network Based on MODIS Data

Satellite remote sensing provides global observations of the Earth’s surface and provides useful information for monitoring smoke plumes emitted from forest fires. The aim of this study is to automatically separate smoke plumes from the background by analyzing the MODIS data. An identification algorithm was improved based on the spectral analysis among the smoke, cloud and underlying surface. I...

An Automatic Detection of the Fire Smoke Through Multispectral Images

One of the consequences of a fire is smoke. Occasionally, monitoring and detection of this smoke can be a solution to prevent occurrence or spreading a fire. On the other hand, due to the destructive effects of the smoke spreading on human health, measures can be taken to improve the level of health services by zoning and monitoring its expansion process. In this paper, an automated method is p...

Wireless Sensor Network for Forest Fire Detection and Decision Making

ISSN: 2319-1120 /V2N3: 299-309 © IJAEST Abstract— Wireless sensor network technologies normally deploy a large number of small, low cost sensors, fairly densely that can observe and influence the physical world around them by gathering physical information, transform it into electrical signals, send it to a remote location to do some analysis and deploy the results in different applications. Th...

Micro Forest Fire Detection