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计算机工程 ›› 2009, Vol. 35 ›› Issue (7): 168-169. doi: 10.3969/j.issn.1000-3428.2009.07.058

• 人工智能及识别技术 • 上一篇    下一篇

基于颜色特征的遥感图像中烟的识别方法

杨 斌1,马瑞升2,何 立2,杨 磊3,孙 涵2,刘志平1   

  1. (1. 广西师范学院信息技术系,南宁 530001;2. 广西气象减灾研究所,南宁 530022;3. 广西计算中心,南宁 530022)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-04-05 发布日期:2009-04-05

Method of Identifying Fume in Remote Sensing Images Based on Color Features

YANG Bin1, MA Rui-sheng2, HE Li2, YANG Lei3, SUN Han2, LIU Zhi-ping1   

  1. (1. Department of Information Technology, Guangxi Teachers Education University, Nanning 530001; 2. Guangxi Institute of Meteorological and Disaster-reducing Research, Nanning 530022; 3. Computing Center of Guangxi, Nanning 530022)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-04-05 Published:2009-04-05

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

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