IMAGE NAVIGATION AND REGISTRATION PERFORMANCE ASSESSMENT EVALUATION TOOLS FOR GOES-R ABI AND GLM

被引：0
|
作者：
Houchin, Scott [1 ]
Porter, Brian [1 ]
Graybill, Justin [1 ]
Slingerland, Philip [1 ]
机构：
[1] Aerosp Corp, Unit C, 14301 Sullyfield Circle, Chantilly, VA 20151 USA
来源：
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年
关键词：
Image registration; Image Navigation; Software Design; Automation;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
The GOES-R Flight Project has developed an Image Navigation and Registration (INR) Performance Assessment Tool Set (IPATS) for measuring Advanced Baseline Imager (ABI) and Geostationary Lightning Mapper (GLM) INR performance metrics in the post-launch period for performance evaluation and long term monitoring. IPATS utilizes a modular algorithmic design to allow user selection of data processing sequences optimized for generation of each INR metric. This novel modular approach minimizes duplication of common processing elements, thereby maximizing code efficiency and speed. Fast processing is essential given the large number of sub-image registrations required to generate INR metrics for the many images produced over a 24 hour evaluation period. This paper describes the software design and implementation of IPATS and provides preliminary test results.
引用
收藏
页码：2074 / 2077
页数：4
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