EARTH REMOTE SENSING DATA PHOTOGRAMMETRIC PROCESSING ADAPTIVE DISTRIBUTED SYSTEM Russian patent published in 2018 - IPC G01C11/02 

FIELD: computer equipment.

SUBSTANCE: invention relates to computer equipment. Earth remote sensing (ERS) data photogrammetric processing adaptive distributed system (ADS) includes network of information reception and processing points (IPP), interconnected by communication lines and including the ADS subsystem. It consists of control module, computational resources, ADS process chain synthesis module, qualitative and temporal indicators evaluation module, b2b network infrastructure component, services selection module, services provision module. Control module is configured to compile applications execution local schedule and use of the IPP computing resources. Computing resources are executed with possibility of ADS various methods and algorithms implementation. ADS process chain synthesis module is configured to select the computational resources, ERS data processing algorithm, information support based on the consumer's request requirements and received for processing the ERS data characteristics. ADS qualitative and temporal indicators evaluation module is configured to obtain the ERS data execution time predictive estimates by the ADS for the current request, as well as the ADS results geodetic reference error forecast value. b2b network infrastructural component is configured to implement the provided in the form of services required computing resources search scenarios in other IPP, and compiling the ERS data obtaining request fulfilling coordinated schedule. Services selection module is configured to select services providing access to the other IPP computing resources.

EFFECT: technical result is increase in the Earth remote sensing data photogrammetric processing distributed system operation efficiency in the part of the consumers requests fulfilling for the ERS data receiving under conditions of limited resources, with the these data visual and measuring properties values variability.

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