摘要: 针对无人机遥感在林火监测中的实际应用问题,根据森林火灾中烟的光谱特性,提出基于颜色特征的识别方法,建立分析识别模型,使用线性噪声清除方法,满足实时性要求,解决无人机遥感在林火监测中的自动识别问题。该方法利用交互式数据语言开发出相应的分析处理系统。实验结果表明,使用该方法对无人机遥感数据进行自动识别,识别率在77.71%以上。
关键词:
无人机遥感,
林火监测,
颜色特征
Abstract: Focus on forest fire detection by Unmanned Aerial Vehicle(UAV) remote sensing, this paper proposes a new algorithm of identifying fume based on the color features of its spectrum. Due to the require of real-time processing, it uses linear de-noising method to remove the noise. It develops the program using this method by interactive data language. Experimental results show the identification rate with the method is higher than 77.71%.
Key words:
Unmanned Aerial Vehicle(UAV) remote sensing,
forest fire detection,
color feature
中图分类号:
杨 斌;马瑞升;何 立;杨 磊;孙 涵;刘志平. 基于颜色特征的遥感图像中烟的识别方法[J]. 计算机工程, 2009, 35(7): 168-169.
YANG Bin; MA Rui-sheng; HE Li; YANG Lei; SUN Han; LIU Zhi-ping. Method of Identifying Fume in Remote Sensing Images Based on Color Features[J]. Computer Engineering, 2009, 35(7): 168-169.