Research Progress of Fire Detection Based on Remote Sensing

摘要：

　　In this paper,the principle of forest fire detection was discussed firstly,and on the basis,the research progress of forest fire detection based on AVHRR AND MODIS was discussed at home and abroad.In general,the AVHRR and MODIS data are used as the main tools for forest fire detection.In recent years,many scholars developed a variety of forest fire detection algorithms based on AVHRR AND MODIS data that were tested and applied in practice and achieved good results.According to the characteristics of environment and disaster monitoring small satellite,the existing contextual algorithm based on MODIS is improved to adapt to HJ-IRS.The process of improved forest fire detection algorithm includes potential fire spots judgment,absolute fire spots judgment,contextual analysis,relative fire spots judgment and confidence degree of fire spots.

关键词： AVHRR MODIS Fire detection HJ Remote sensing

作者: Wang Shidong Zhang Hebing

作者单位: College of Resources Science & Technology, Beijing Normal University, Beijing, China, 100875;School School of Surveying and Land Information Engineering Henan Polytechnic University Jiaozuo, China, 45

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 762-766

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）