德国航空航天中心(DLR)地球传感成像光谱仪(DESIS)系统特性报告

M. Shrestha, A. Sampath, Shankar N. Ramaseri Chandra, J. Christopherson, J. Shaw, C. Anderson
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引用次数: 2

摘要

该报告阐述了德国航空航天中心(DLR)地球传感成像光谱仪(DESIS)的系统特性,是由美国地质调查局地球资源观测和科学Cal/Val卓越中心制作和交付的一系列系统特性报告的一部分。这些报告介绍了表征的方法和程序,以及正在评估的特定传感系统的技术和操作信息。这些报告还提供数据测量、数据保留实践和数据分析结果的描述,并提供系统特征结论。DLR与Teledyne Brown工程公司合作,建造了DESIS高光谱仪器,Teledyne Brown工程公司随后将其集成到其基于国际空间站的成像平台,即多用户地球传感系统。DLR开发了处理软件,并与创新成像和研究一起完成了数据产品的验证和校准。DESIS于2018年发射,其数据用于大气物理和地球科学的科学研究。该传感器促进了国际空间站的科学和商业利用,并有助于进一步发展未来卫星的高光谱遥感技术。关于DLR卫星和传感器的更多信息包括在联合机构商业成像卫星https://www.dlr.de/ DE/小组数据分析中,以表征几何(内部和外部)和空间性能。这些分析结果表明,DESIS在带间配准中的内部几何性能小于3.30米(小于0.11像素)均方根误差,外部几何性能在2.40-(0.08像素)至17.40米范围内
本文章由计算机程序翻译,如有差异,请以英文原文为准。
System characterization report on the German Aerospace Center (DLR) Earth Sensing Imaging Spectrometer (DESIS)
This report addresses system characterization of the German Aerospace Center (DLR) Earth Sensing Imaging Spectrometer (DESIS) and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present the methodology and procedures for characterization and the technical and operational information about the specific sensing system being evaluated. These reports also provide a description of data measurements, data retention practices, and data analysis results and provide system characterization conclusions.In partnership with Teledyne Brown Engineering, DLR built the DESIS hyperspectral instrument, which Teledyne Brown Engineering then integrated onto its International Space Station-based imaging platform, the Multi-User System for Earth Sensing. DLR developed the processing software and, together with Innovative Imaging and Research, com-pletes the validation and calibration of the data products. DESIS was launched in 2018, and the data are used for scientific research in atmospheric physics and Earth sciences. The sensor the scientific and commer cial utilization of the International Space Station and helps to further hyperspectral remote sensing technologies for future satellites. More information on DLR satellites and sensors is included within the Joint Agency Commercial Imagery Satellite https://www.dlr.de/ DE/ The team data analyses to characterize the geometric (interior and exte-rior), and spatial performances. Results of these analyses indicate that DESIS an interior geometric performance of less than a 3.30-meter (less than 0.11 pixel) root mean square error in band-to-band registration, an exterior geometric performance in the range of a 2.40- (0.08 pixel) to 17.40-meter
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