Next-Generation Satellite Imagery Analytics Platform

Discover new possibilities with hyperspectral satellite imagery, powered by distributed storage and spatio-temporal analytics

Next-Generation Satellite Imagery Analytics Platform

Discover new possibilities with hyperspectral satellite imagery, powered by distributed storage and spatio-temporal analytics

Key Features

Key Features

Key Feature 1

Distributed Storage for Large-Scale Satellite Imagery

A multidimensional array database architecture efficiently stores the high-dimensional structure of hyperspectral satellite imagery.

It supports high-throughput, distributed loading of petabyte-scale datasets and applies dynamic sharding with fully automated pipelines to keep the large-scale imagery repositories free of I/O bottlenecks.

Key Feature 1

Distributed Storage for Large-Scale Satellite Imagery

A multidimensional array database architecture efficiently stores the high-dimensional structure of hyperspectral satellite imagery.

It supports high-throughput, distributed loading of petabyte-scale datasets and applies dynamic sharding with fully automated pipelines to keep the large-scale imagery repositories free of I/O bottlenecks.

Key Feature 1

Distributed Storage for Large-Scale Satellite Imagery

A multidimensional array database architecture efficiently stores the high-dimensional structure of hyperspectral satellite imagery.

It supports high-throughput, distributed loading of petabyte-scale datasets and applies dynamic sharding with fully automated pipelines to keep the large-scale imagery repositories free of I/O bottlenecks.

Key Feature 2

Hybrid P2P Distributed Cluster

A hybrid cluster architecture that combines the reliability of a central server with the scalability of a peer-to-peer network enables resilient distributed operations of satellite imagery across hundreds of nodes.

Direct inter-node communication and automated failover ensure uninterrupted operation during node failures, delivering reliable real-time satellite imagery transmission and processing.

Key Feature 2

Hybrid P2P Distributed Cluster

A hybrid cluster architecture that combines the reliability of a central server with the scalability of a peer-to-peer network enables resilient distributed operations of satellite imagery across hundreds of nodes.

Direct inter-node communication and automated failover ensure uninterrupted operation during node failures, delivering reliable real-time satellite imagery transmission and processing.

Key Feature 2

Hybrid P2P Distributed Cluster

A hybrid cluster architecture that combines the reliability of a central server with the scalability of a peer-to-peer network enables resilient distributed operations of satellite imagery across hundreds of nodes.

Direct inter-node communication and automated failover ensure uninterrupted operation during node failures, delivering reliable real-time satellite imagery transmission and processing.

Key Feature 3

High-speed Spatiotemporal Search and Analytics

STAC-compliant metadata, multidimensional spatio-temporal indexing, and a high-performance OGC WCPS engine enable complex queries that combine time, space, and sensor parameters, while delivering ultra-fast spatiotemporal analytics on imagery.

Provides real-time analysis of large-scale imagery and data cataloging and search capabilities via RESTful APIs for easy integration with external systems.

Key Feature 3

High-speed Spatiotemporal Search and Analytics

STAC-compliant metadata, multidimensional spatio-temporal indexing, and a high-performance OGC WCPS engine enable complex queries that combine time, space, and sensor parameters, while delivering ultra-fast spatiotemporal analytics on imagery.

Provides real-time analysis of large-scale imagery and data cataloging and search capabilities via RESTful APIs for easy integration with external systems.

Key Feature 3

High-speed Spatiotemporal Search and Analytics

STAC-compliant metadata, multidimensional spatio-temporal indexing, and a high-performance OGC WCPS engine enable complex queries that combine time, space, and sensor parameters, while delivering ultra-fast spatiotemporal analytics on imagery.

Provides real-time analysis of large-scale imagery and data cataloging and search capabilities via RESTful APIs for easy integration with external systems.

Key Feature 4

Web Visualization Dashboard

A map-based web dashboard lets users intuitively explore and analyze satellite imagery.

Integration with OGC WMS and WCS services, time-series imagery comparison, and built-in histogram and analytics views make the dashboard practical for business workflows and help users understand their data.

Key Feature 4

Web Visualization Dashboard

A map-based web dashboard lets users intuitively explore and analyze satellite imagery.

Integration with OGC WMS and WCS services, time-series imagery comparison, and built-in histogram and analytics views make the dashboard practical for business workflows and help users understand their data.

Key Feature 4

Web Visualization Dashboard

A map-based web dashboard lets users intuitively explore and analyze satellite imagery.

Integration with OGC WMS and WCS services, time-series imagery comparison, and built-in histogram and analytics views make the dashboard practical for business workflows and help users understand their data.

Comparisons

Comparisons

KOMPSAT-3/3A

Satellite Image Build Performance

1 Node

1.8TB

3 Node

4.8TB

5 Node

7.6TB

Build Size Per 1 Day

KOMPSAT-3/3A

Satellite Image Build Performance

1 Node

1.8TB

3 Node

4.8TB

5 Node

7.6TB

Build Size Per 1 Day

KOMPSAT-3/3A

Satellite Image Build Performance

1 Node

1.8TB

3 Node

4.8TB

5 Node

7.6TB

Build Size Per 1 Day

3 Node

Satellite Image Search Performance

512x512(4KB)

0.2sec

1024x1024(16KB)

0.3sec

4096x4096(256KB)

0.7sec

16384x16384(4MB)

3.6sec

Elapsed Time in Seconds

3 Node

Satellite Image Search Performance

512x512(4KB)

0.2sec

1024x1024(16KB)

0.3sec

4096x4096(256KB)

0.7sec

16384x16384(4MB)

3.6sec

Elapsed Time in Seconds

3 Node

Satellite Image Search Performance

512x512(4KB)

0.2sec

1024x1024(16KB)

0.3sec

4096x4096(256KB)

0.7sec

16384x16384(4MB)

3.6sec

Elapsed Time in Seconds

References

References

Copyright 2025 RealtimeTech Co., Ltd. All Rights Reserved

Copyright 2025 RealtimeTech Co., Ltd. All Rights Reserved

Copyright 2025 RealtimeTech Co., Ltd. All Rights Reserved