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Image navigation and registration for the geostationary lightning mapper (GLM)

机译:图像导航和地静止闪电映射的注册(GLM)

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The Geostationary Lightning Mappers (GLM) for the Geostationary Operational Environmental Satellite (GOES) GOES-R series will, for the first time, provide hemispherical lightning information 24 hours a day from longitudes of 75 and 137 degrees west. The first GLM of a series of four is planned for launch in November, 2016. Observation of lightning patterns by GLM holds promise to improve tornado warning lead times to greater than 20 minutes while halving the present false alarm rates. In addition, GLM will improve airline traffic flow management, and provide climatology data allowing us to understand the Earth's evolving climate. The paper describes the method used for translating the pixel position of a lightning event to its corresponding geodetic longitude and latitude, using the J2000 attitude of the GLM mount frame reported by the spacecraft, the position of the spacecraft, and the alignment of the GLM coordinate frame relative to its mount frame. Because the latter alignment will experience seasonal variation, this alignment is determined daily using GLM background images collected over the previous 7 days. The process involves identification of coastlines in the background images and determination of the alignment change necessary to match the detected coastline with the coastline predicted using the GSHHS database. Registration is achieved using a variation of the Lucas-Kanade algorithm where we added a dither and average technique to improve performance significantly. An innovative water mask technique was conceived to enable self-contained detection of clear coastline sections usable for registration. Extensive simulations using accurate visible images from GOES13 and GOES15 have been used to demonstrate the performance of the coastline registration method, the results of which are presented in the paper.
机译:地球静止闪电映射器(GLM)为静止环境观测卫星(云)GOES-R系列将,对于第一次,提供半球形闪电信息从75重137度西经度,每天24小时。计划在2016年11月推出的第一个GLM。通过GLM的闪电模式观察,承诺将龙卷风预警时间提高到大于20分钟,同时减半目前的误报率。此外,GLM将改善航空公司交通流量管理,并提供气候数据,使我们能够理解地球的不断发展的气候。本文描述了用于将闪电事件的像素位置转换为其相应的大地测量经度和纬度的方法,使用由航天器报告的GLM安装框架的J2000姿态,航天器的位置和GLM坐标的对准相对于其安装框架的框架。由于后一对准将经历季节性变化,因此使用在前面7天内收集的GLM背景图像每天确定该对齐。该过程涉及识别背景图像中的海岸线,并确定与使用GSHHS数据库预测的海岸线匹配检测到的海岸线所需的对准变化。使用LUCAS-KANADE算法的变体实现注册,在那里我们添加了一个抖动和平均技术以显着提高性能。构思了一种创新的防水掩模技术,以实现可用于注册的清晰海岸线部分的自含量检测。使用来自GOY13和GOY15的精确可见图像的广泛模拟已被用于展示海岸线登记方法的性能,其结果在纸上呈现。

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