Study On Image Communication & Processing Technique In Forest Fire Monitoring

Forest fire monitoring technique depends heavily on the provision of image communication & processing technique. It urgently becomes a significant problem how to realize real-time & long-distance monitoring and fire auto-recognition with monitoring systems.The paper takes a systematic research in project and network model design. For the sake of complete monitoring and alleviating system and network burdens, installing many Client systems with monitoring devices can communicate with Sever in forest area, and compressing video taken by CCD camera into Mpeg-1 format is adapt to internet with TCP/IP protocol.In research of forest fire auto-recognition, the paper discusses digital image processing with wavelet theory and NN. Image de-noise processes in wavelet domain by wavelet transform and automatically segments by Otsu method , WSA and Kohonen NNs. Then the paper brings forward MAP rule as recognition judgment criterion, and uses perception and BP NN to process image, it is very useful for preventing forest fire and alleviating harms to our society and country.