摘要
对比分析了MODIS传感器和HJ-IRS传感器的差异,在MODIS火点探测V4算法的基础上,通过对云和水体掩膜方法的改进及算法中各阈值的调整,提出了一种适于HJ-IRS的林火火点自动检测算法。以我国黑龙江地区及俄罗斯远东地区为研究对象,通过与采用V4算法生产的相同区域内同时相的MODIS火点产品进行对比分析,发现IRS火点产品在空间分布上与MODIS火点产品基本一致,并没有出现漏检现象;而在低温小火点的探测及火点的几何定位方面,HJ-IRS更具优势。
By comparing and analyzing the sensor difference between MODIS and HJ-IRS,we present a newly improved forest fire hotspot detection method which is adaptive to HJ-IRS through improving a new cloud and water mask method and adjusting the threshold value in the MODIS version 4 contextual algorithm.With Heilongjiang area of China and the Far-east area of Russia as the research object,by comparative analysis with the MODIS hotspot products of same area and same time adopting the V4 Algorithm,we find that IRS hotspot product has the same spatial distribution with MODIS,without leak detection.With respect to low temperature small hotspot and its geometric location,HJ-IRS has a preferable performance.
出处
《武汉大学学报(信息科学版)》
EI
CSCD
北大核心
2012年第11期1321-1324,1387,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40801142)