首页> 外文会议>IAA Symposium on Small Satellite Missions;International Astronautical Congress >HIGHLY INTEGRATION OF HYPERSPECTRAL, THERMAL AND ARTIFICIAL INTELLIGENCE FOR THE ESA PHISAT-1 MISSION
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HIGHLY INTEGRATION OF HYPERSPECTRAL, THERMAL AND ARTIFICIAL INTELLIGENCE FOR THE ESA PHISAT-1 MISSION

机译:ESA Phisat-1任务的高光谱,热和人工智能高度集成

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Φ-Sat-l is the first scientific and technology initiative of the Earth Observation directorate of the European Space Agency (ESA) in the NewSpace field. Φ-Sat-1 is the result of an enhancement of the FSSCAT mission using Artificial Intelligence (AI) and improved imaging capabilities ofthehyperspectral camera HyperScout-1 VNIR imager. cosine Remote Sensing is leading the development and execution of the demonstration, including the highly integrated spectral imaging in the VNIR and TIR, as well as the integration of state-of-art Artificial Intelligence (AI) accelerators including the first AI algorithms for cloud screening. The HyperScout-2 spectral camera is the successor of HyperScout-1, a miniaturized reflective optical instrument equipped with enhanced processing capabilities, in orbit since February 2018 as part ESA GOMX-4B technology demonstration mission. HyperScout-2 is equipped with a hybrid processing platform composed of a CPU, GPU and VPU. The VPU is a state of art vision processing unit developed by Intel and will be flown in space for the first time as part of HyperScout-2. The platforms suites very well the implementation of experimental programs to investigate the benefit of using Artificial Intelligence fora variety of applications in the field of Earth Observation. The first application that will be run is cloud screening.
机译:Φ-SAT-L是Newspace领域欧洲航天局(ESA)地球观测局的第一个科技倡议。 φ-SAT-1是使用人工智能(AI)的FSSCAT任务提高的结果,以及改进的分析相机Hyperscout-1 VNIR成像器的成像能力。余弦遥感是领导示范的开发和执行,包括VNIR和TIR中的高度集成光谱成像,以及集成的最先进的人工智能(AI)加速器,包括云筛选的第一AI算法。超电源-2光谱相机是高超-1的继承者,一种小型化的反射光学仪器,其具有增强的处理能力,自2018年2月以来的轨道作为ESA GOMX-4B技术示范任务。 Hyperscout-2配备了由CPU,GPU和VPU组成的混合处理平台。 VPU是由英特尔开发的艺术视觉处理单元的状态,并将首次在空间中飞行,这是高屏幕-2的一部分。该平台套利符合实验计划的实施,以调查在地球观测领域中使用人工智能的益处的益处。将运行的第一个应用程序是云筛选。

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