森林火灾无线传感图像监测中的光照干扰消除

Based on the Remote Sensing Image wap Sapling Forest Dry Death Rate Statistical Methods

传统的森林图像火灾监控方法中,无法消除由于强光照射带来的影响,传感器采集图片像素冗余发生混淆,可识别的特征关联性下降。提出一种加入强光照射因子的识别模型,通过准确计算森林遥感图像中,可能产生反射的区域,对其区域可能产生的反射光建立模型,运用加入光模型的图像分割方法,对可能产生火灾的区域进行分割识别。实验证明,这种算法能够提高远程森林火灾检测的精度。

The traditional forest fire monitoring method of image,can not be removed because of the impact of the glare,sensors to collect pictures pixel redundancy happen confusion,can recognize the characteristics of dropped connection.In order to solve this problem,this paper puts forward a join glare factor identification model,through the accurate calculation forest remote sensing images,may produce the reflection of the area,the area may produce reflected light model building,use to join the light model image segmentation method,may produce fire area of segmentation recognition.Experiments show that the algorithm can improve the precision of the remote forest fire detection..