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一种利用HJ-IRS影像的林火火点自动检测算法 被引量:3

A Forest Firespot Automatic Detection Algorithm for HJ-IRS Imagery
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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)
关键词 HJ-IRS MODIS 改进V4算法 火点检测 HJ-IRS MODIS improved V4 algorithm hotspot detection
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参考文献14

  • 1Dozier J A. Method for Satellite Identification of Surface Temperature Fields of Suhpixel Resolution [J]. Remote Sensing of Environment, 1981, 11:221-229. 被引量:1
  • 2Flannigan M D, Von der Haar T H. Forest Fire Moni- toring Using NOAA Satellite AVHRR [J]. Canadian Journal of Forest Research, 1986,16 : 975-982. 被引量:1
  • 3Flannigan M D. Forest Fire Monitoring Using the NOAA Satellite Series [ D]. Colorado: Colorado State University, 1985. 被引量:1
  • 4Setzer A W. Operational Satellite Monitoring of Fires in Brazil[J]. International Forest Fire News, 1993(9) :8-11. 被引量:1
  • 5Kaufman Y J, Justice C O, Flynn L, et al. Poten- tial Global Fire Monitoring from EOS-MODIS[J]. Journal of Geophysical Research, 1998,103 : 32 215- 32 238. 被引量:1
  • 6Giglio L, Descloitres J, Justice C O,et al. An En- hanced Contextual Fire Detection Algorithm for MODIS [J]. Remote Sensing of Environment, 2003, 87:273-282. 被引量:1
  • 7Li Ying, Vodacek A, Kremens R L, et al. A Hybrid Contextual Approach to Wildland Fire Detection Using Mu[tispectral Imagery[J]. IEEE Transactions on Geo- science and Remote Sensing,2005,43(9):2 115-2 126. 被引量:1
  • 8Wang Wanting, Qu J J, Hao Xianjun, et al. AnImproved Algorithm for Small and Cool Fire Detec- tion Using MODIS Data: A Preliminary Study in the Southeastern United States[J]. Remote Sensing of Environment, 2007, 108:163-170. 被引量:1
  • 9刘良明,鄢俊洁.MODIS数据在火灾监测中的应用[J].武汉大学学报(信息科学版),2004,29(1):55-57. 被引量:21
  • 10贺宝华,陈良富,陶金花,苏林,王子峰,李莘莘,韩冬,张莹,余超.基于观测几何的环境卫星红外相机遥感火点监测算法[J].红外与毫米波学报,2011,30(2):104-108. 被引量:17

二级参考文献26

  • 1.新浪网站新闻.大兴安岭火灾专题.http://www.sina.com.cn,2002. 被引量:1
  • 2纪平 葛成辉 易浩若.MODIS在火灾探测和热异常监测中的应用[J].中国图像图形学报,2001,(5):13-17. 被引量:1
  • 3Giglio L, Descloitres J, Justice C O, et al. An enhanced contextual fire detection algorithm for MODIS [ J ]. Remote Sensing of Environment ,2003,87 ( 2-3 ) :273-282. 被引量:1
  • 4Giglio L, Kendall J D, Justice C O, et al. Evaluation of global fire detection algorithms using simulated AVHRR infrared data [ J ]. International Journal of Remote Sensing, 1999,20(10) : 1947-1985. 被引量:1
  • 5Giglio L, Csiszar I, Restas A, et al. Active fire detection and characterization with the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) [ J]. Remote Sensing of Environment,2008,112 ( 6 ) : 3055-3063. 被引量:1
  • 6Kaufman Y J, Justice C O, Giglio L, et al. Potential global fire monitoring from EOS-MODIS [ J ]. Journal of Geophysical Research, 1998,103 ( D24 ) :215-238. 被引量:1
  • 7Wang W T, Qu J J, Hao X J, et al. An improved algorithm for small and cool fire detection using MODIS data:A preliminary study in the southeastern United States [ J ]. Remote Sensing of Environment, 2007,108 ( 2 ) : 163 - 170. 被引量:1
  • 8Qian Y G, Yah G J, Duan S B, et al. A contextual fire detection algorithm for simulated HJ-1B imagery[ J]. Sensors,2009,9(2) :961-979. 被引量:1
  • 9Sehroeder W, Prins E, Giglio L, et al. Validation of GOES and MODIS active fire detection products using ASTER and ETM + data[J]. Remote Sensing of Environment,2008,112 ( 5 ) : 2711-2726. 被引量:1
  • 10孙家m 舒宁 关泽群编著.遥感原理、方法和应用[M].北京:测绘出版社,1997.195-202. 被引量:2

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