scholarly journals The Global Land Surface Satellite (GLASS) Remote Sensing Data Processing System and Products

2013 ◽  
Vol 5 (5) ◽  
pp. 2436-2450 ◽  
Author(s):  
Xiang Zhao ◽  
Shunlin Liang ◽  
Suhong Liu ◽  
Wenping Yuan ◽  
Zhiqiang Xiao ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Processing ◽  
Land Surface ◽  
Processing System ◽  
Remote Sensing Data ◽  
Data Processing System ◽  
Sensing Data ◽  
Global Land

Justification of information interaction architecture of remote sensing data processing system

2020 ◽  
Vol 5 ◽  
pp. 141-150
Author(s):  
V. M. Safonov ◽  
◽  
D.A. Pavlov ◽  
A.N. Pavlov
Keyword(s):  
Remote Sensing ◽  
Data Processing ◽  
Decision Maker ◽  
Selection Process ◽  
Processing System ◽  
Remote Sensing Data ◽  
Data Processing System ◽  
Sensing Data ◽  
Production Models ◽  
Information Interaction

Purpose: To fi nd an approach to substantiation of the rational architecture of information interaction of the Earth Remote Sensing Data Processing System. Materials and methods: When conducting research in the fi eld of distributed remote sensing data processing as part of the design of a remote sensing data processing system, it seems necessary to create some digital prototype of it. At the fi rst stage of creating such a “digital double”, the architecture of the information interaction of upper-level elements (services, modules, etc.) should be justifi ed in order to ensure effective and consistent application of the system software components. Results: The article proposes an approach to justifying and choosing the architecture of a software system, which is based on production models of decision maker preferences for describing simple and complex reference situations of the survey, processing of knowledge data using methods of the theory of fuzzy measures and theory of experimental design and checking statements Decision maker for consistency. Conclusions: The proposed approach will signifi cantly increase the degree of formalization and validity of the selection process, which as a result provides the opportunity to increase its automation level.

scholarly journals Framework of cloud web services for processing remote sensing data

2019 ◽  
Vol 75 ◽  
pp. 03001
Author(s):  
Alexey Buchnev ◽  
Pavel Kim ◽  
Valery Pyatkin ◽  
Fedor Pyatkin ◽  
Evgeny Rusin
Keyword(s):  
Remote Sensing ◽  
Web Services ◽  
Data Processing ◽  
Processing System ◽  
Remote Sensing Data ◽  
Functional Modules ◽  
Distributed Network ◽  
Data Processing System ◽  
Earth Remote Sensing ◽  
Sensing Data

We consider a distributed network of cloud web services for processing satellite data, which provides data processing facilities for Earth remote sensing within SaaS model. In fact, this is a set of web services that implement the functional modules of the PlanetaMonitoring remote sensing data processing system.

scholarly journals Оrganization of Web-Based Environmental Monitoring Service Using Earth Remote Sensing Data and Pipelining Data Processing

2021 ◽  
Vol 7 (1) ◽  
pp. 105-121
Author(s):  
A. Scatkov ◽  
K. Krotov
Keyword(s):  
Remote Sensing ◽  
Data Processing ◽  
Environmental Monitoring ◽  
Processing System ◽  
Remote Sensing Data ◽  
Pipeline System ◽  
Sensing Data ◽  
Functional Scheme ◽  
Architectural Organization ◽  
Data Acquisition And Processing

The article analyzes the types of remote sensing data and methods of their processing, which is implemented in order to identify negative natural phenomena and man-made impacts on the environment on the earth’s surface, their characteristics and distribution conditions. The substantiation of the pipelining remote sensing data processing necessity in Web-oriented services environmental monitoring services is carried out. The article substantiates the architectural organization of Web-oriented services for environmental monitoring services and the functional scheme of the data acquisition and processing system. Based on the analysis of the thematic and POST-thematic data processing methods, the organization of a multistage (pipeline) system for the implementing actions with them that provide versatile environmental monitoring is justified.

Improved t-SNE based manifold dimensional reduction for remote sensing data processing

2018 ◽  
Vol 78 (4) ◽  
pp. 4311-4326 ◽  
Author(s):  
Weijing Song ◽  
Lizhe Wang ◽  
Peng Liu ◽  
Kim-Kwang Raymond Choo
Keyword(s):  
Remote Sensing ◽  
Data Processing ◽  
Dimensional Reduction ◽  
Remote Sensing Data ◽  
Sensing Data
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