基于观测几何的环境卫星红外相机遥感火点监测算法
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国家高技术研究发展计划(863计划)


A contextual fire detection algorithm based on observation geometry for HJ-1B-IRS
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    摘要:

    MODIS V4算法在观测天顶角较大或太阳天顶角较大时会出现火点漏判现象, 针对这个问题, 通过数值模拟的方法分析了由明火与背景地物组成的火点像元的亮温在不同观测几何条件下的变化, 并在MODIS V4算法基础上提出了针对环境卫星红外相机的基于观测几何的遥感火点监测算法.通过高分辨CCD数据建立烟羽掩码对多景环境卫星火点监测结果进行了验证.与MODIS火点产品对比, 环境卫星在火点定位以及小面积火点识别方面具有优势.

    Abstract:

    MODIS V4 fire detection algorithm has problems of fire omissions at large scan geometries.In order to solve this problem, the brightness temperature changes of fire pixels, which consist of fire and background surface at different scan geometries, were analyzed. Active potential fire detecting thresholds were developed according to scan geometries.A fire detection algorithm for the HJ-1B-IRS based on MODIS V4 algorithm was presented. Using HJ-1B-CCD data, we validated the fire detection results of HJ-1B-IRS with the fire detection method based on smoke plumes. In comparison to MODIS fire products, HJ-1B-IRS fire product shows advantage on fire location and small fire detection.

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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]. HE Bao-Hua, CHEN Liang-Fu, TAO Jin-Hua, SU Lin, WANG Zi-Feng, LI Shen-Shen, HAN Dong, ZHANG Ying, YU Chao. A contextual fire detection algorithm based on observation geometry for HJ-1B-IRS[J]. J. Infrared Millim. Waves,2011,30(2):104~108.]

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  • 收稿日期:2010-05-17
  • 最后修改日期:2010-10-11
  • 录用日期:2010-07-23
  • 在线发布日期: 2011-04-21
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