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| 基于观测几何的环境卫星红外相机遥感火点监测算法 | |
| 引用本文： | 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. |
| 作者姓名： | 贺宝华 陈良富 陶金花 苏林 王子峰 李莘莘 韩冬 张莹 余超 |
| 作者单位： | 1. 中国科学院遥感应用研究所,遥感科学国家重点实验室,北京,100101;中国科学院研究生院,北京,100049 2. 中国科学院遥感应用研究所,遥感科学国家重点实验室,北京,100101 3. 中国科学院大气物理研究所,大气边界层物理与大气化学国家重点实验室,北京,100029 |
| 基金项目： | 国家高技术研究发展计划（863计划） |
| 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... |
| 关 键 词： | MODIS V4 观测几何 环境卫星红外相机 火点监测 |
| 收稿时间： | 2010/5/17 0:00:00 |
| 修稿时间： | 2010/10/11 0:00:00 |
A contextual fire detection algorithm based on observation geometry for HJ-1B-IRS |
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| HE Bao-Hu,CHEN Liang-Fu,TAO Jin-Hu,SU Lin,WANG Zi-Feng,LI Shen-Shen,HAN Dong,ZHANG Ying and YU Chao.A contextual fire detection algorithm based on observation geometry for HJ-1B-IRS[J].Journal of Infrared and Millimeter Waves,2011,30(2):104-108. | |
| Authors: | HE Bao-Hu CHEN Liang-Fu TAO Jin-Hu SU Lin WANG Zi-Feng LI Shen-Shen HAN Dong ZHANG Ying and YU Chao |
| Affiliation: | Institute of Remote Sensing Applications Chinese Academy of Sciences,nstitute of Remote Sensing Applications Chinese Academy of Sciences,Institute of Atmospheric Physics, Chinese Academy of Sciences,Institute of Remote Sensing Applications Chinese Academy of Sciences,Institute of Remote Sensing Applications Chinese Academy of Sciences,Institute of Remote Sensing Applications Chinese Academy of Sciences,Institute of Remote Sensing Applications Chinese Academy of Sciences,Institute of Remote Sensing Applications Chinese Academy of Sciences,Institute of Remote Sensing Applications Chinese Academy of Sciences |
| 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. |
| Keywords: | MODIS V4 |
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