Conceptual scenarios for development of ground infrastructure for receiving mission payload data from a perspective Earth remote sensing satellite constellation

2021 ◽  
pp. 140-150
Author(s):  
Maksim V. ERESHKO ◽  
Andrey V. BORISOV
Keyword(s):  
Remote Sensing ◽  
High Performance ◽  
Growth Strategy ◽  
System Level ◽  
Current Status ◽  
Earth Remote Sensing ◽  
High Data ◽  
Ground Segment ◽  
Space Infrastructure ◽  
Orbital Constellation

The paper addresses the problem of cooperative development of ground space infrastructure and orbital constellation of Earth remote sensing spacecraft (ERS). In view of the considerable number of elements in space and ground segments of a heterogenous space ERS system, a mechanism is required for developing its concepts involving acquiring updated inputs for determining measures to optimize the ERS ground segment configuration geography-wise and outfit receiving systems for receiving the mission payload data from high-performance ERS spacecraft. The paper describes trends in the development of equipment and technologies for transmitting ERS mission payload data, in particular, the current status of the high data rate optical backbone network in order to determine possible locations for ERS Ground Segment elements. It introduces indicators which provide system-level characterization of the capabilities for a distributed network of data receiving stations. Based on the obtained data, system-level patterns were determined in the development of the ground segment for receiving the ERS mission payload data depending on the state of the ERS orbital constellation, driving further development of growth strategy for the ERS ground space infrastructure. Key words: Earth remote sensing, concept, mission payload data, receiving system, data reception station.

Conceptual scenarios for development of ground infrastructure for receiving mission payload data from a perspective Earth remote sensing satellite constellation

2021 ◽  
pp. 119-129
Author(s):  
Maksim ERESHKO ◽  
◽  
Andrey BORISOV
Keyword(s):  
Remote Sensing ◽  
High Performance ◽  
System Level ◽  
Area Network ◽  
Wide Area Network ◽  
Satellite Constellation ◽  
Ground Segment ◽  
System A ◽  
The Status ◽  
Further Development

In view of the considerable number of elements in space and ground segments of a heterogeneous space ERS system, a mechanism is required for developing its concepts with obtaining refined baseline data for determining measures to optimize the ERS ground segment configuration geography-wise and outfit receiving systems for receiving mission payload data from high-performance ERS satellites. The development trends for equipment and technologies for mission payload data are given, in particular the status of the high backbone network in order to determine possible locations for of a space ERS system. Indicators are introduced which the capabilities of a wide-area network of remote sensing ground transmitting ERS data rate optical segment elements systemically characterize data receiving stations. Based on the obtained data, system-level patterns were determined in the development of the ground segment for receiving the ERS mission payload data depending on the state of the ERS satellite constellation, driving further development of strategy for the ERS ground infrastructure.

High performance modular, compact and ruggedized processing system for airborne and balloon remote sensing instruments

2021 ◽  
Author(s):  
Tom Neubert ◽  
Georg Schardt ◽  
Heinz Rongen ◽  
Egon Zimmermann ◽  
Thomas Gulde ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Performance ◽  
Processing System ◽  
High Spectral Resolution ◽  
High Data ◽  
Processing Power ◽  
Industrial Grade ◽  
Long Duration ◽  
Current Design ◽  
And Performance

<p>Observations from aircraft and balloons with remote sensing instruments are an important method to investigate processes within the Earth environment. These applications require powerful computing systems that must be developed or adapted for the measurement task and requirements. In particular, imaging spectrometers generate high data rates by almost 10,000 pixels at about 4,000 frames per second. Accordingly, high performance is needed to provide operational control and data processing with high data bandwidth and the capability to store this data also during long duration flights.</p><p>A modular processing system architecture based on modified industrial grade board components has been developed to meet these high requirements for processing power and storage capacity. The major advantages of this approach are flexibility, (re)programmability, modularity and module re-use in order to attain lower development time and costs. However, it is a challenge to design this processing system to be suitable for the harsh environments of aircraft or balloon applications in terms of temperature range, humidity and vibration.</p><p>With an efficient approach ruggedized characteristics are achieved using a conduction cooled design in combination with components based on VPX standard and customized backplane transition modules in order to reduce operational risk with necessary measures of mitigation techniques. This approach results in a processing system that combines hardware and software redundancies to assure system availability and reliability for long duration flights.</p><p>In this presentation the compact flight proven system design is presented that has been used in recent years for high spectral resolution limb-observations by the GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere) spectrometer aboard the HALO and Geophysica high-altitude aircrafts. Various system configurations and performance results will be shown, which have been achieved in the current design and will be applied in future balloon campaigns.</p>

The machine training in problems of satellite images’s processing

Metrologiya ◽  
2020 ◽  
pp. 15-37
Author(s):  
L. P. Bass ◽  
Yu. A. Plastinin ◽  
I. Yu. Skryabysheva
Keyword(s):  
Remote Sensing ◽  
Neural Networks ◽  
Computer Vision ◽  
Satellite Images ◽  
Vision Systems ◽  
Earth Remote Sensing ◽  
Practical Applications ◽  
Convolution Neural Networks ◽  
Computer Vision Systems ◽  
Trained Neural Network

Use of the technical (computer) vision systems for Earth remote sensing is considered. An overview of software and hardware used in computer vision systems for processing satellite images is submitted. Algorithmic methods of the data processing with use of the trained neural network are described. Examples of the algorithmic processing of satellite images by means of artificial convolution neural networks are given. Ways of accuracy increase of satellite images recognition are defined. Practical applications of convolution neural networks onboard microsatellites for Earth remote sensing are presented.

Algorithm for planning of realization of thematic programs of the Earth remote sensing

2007 ◽  
Vol 13 (2) ◽  
pp. 39-42
Author(s):  
A.I. Kirillov ◽  
◽  
Ye.I. Kapustin ◽  
N.A. Kirillova ◽  
E.I. Makhonin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Earth Remote Sensing ◽  
The Earth
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