Announced details
Infrastructure inspections by government agencies and local authorities; disaster prevention and mitigation; observation and analysis of ground deformation
The rate at which two separate observation datasets from different time periods suitable for InSAR analysis became available improved from 1% or less before implementation to approximately 12%. Effective observation opportunities increased by approximately 12 times.
Put into actual operation on QPS研究所's small SAR satellite constellation, enabling multiple InSAR analyses within a short period.
The system was tested using QPS研究所's small SAR satellite constellation and developed based on the SAR satellite operations expertise accumulated by both companies. It is in actual operation on QPS研究所's satellite constellation. Capital and personnel relationships: not disclosed.
Head office: Fukuoka City, Fukuoka Prefecture; Representative Director, President and CEO: Onishi Shunsuke (大西俊輔). The company is confirmed from the source to own and operate a small SAR satellite constellation. Capital and year established: not disclosed.
Patent application pending. Number, filing date and expiration date: not disclosed
The company states that it will promote the practical application of high-value-added space data in society and develop new business opportunities, but the specific impact on sales and profit is not disclosed.
The company does not address Contract Value / Offering price.
Company research, based on a survey of publicly available papers and patent information (as of April 2026)
| Item | Details |
|---|---|
| Names of Products / Services Covered | Observation Opportunity Optimization System; interferometric SAR analysis (InSAR analysis) |
| Counterparty | 株式会社QPS研究所 |
| Counterparty overview | Head office: Fukuoka City, Fukuoka Prefecture; Representative Director, President and CEO: Onishi Shunsuke (大西俊輔). The company is confirmed from the source to own and operate a small SAR satellite constellation. Capital and year established: not disclosed. |
| Relationship with the Company | The system was tested using QPS研究所's small SAR satellite constellation and developed based on the SAR satellite operations expertise accumulated by both companies. It is in actual operation on QPS研究所's satellite constellation. Capital and personnel relationships: not disclosed. |
| Launch date | not disclosed (already in actual operation on QPS研究所's small SAR satellite constellation) |
| Applicable area | Infrastructure inspections by government agencies and local authorities; disaster prevention and mitigation; observation and analysis of ground deformation |
| Registration number and expiry date | Patent application pending. Number, filing date and expiration date: not disclosed |
| Quantitative Effects | The rate at which two separate observation datasets from different time periods suitable for InSAR analysis became available improved from 1% or less before implementation to approximately 12%. Effective observation opportunities increased by approximately 12 times. |
| Usage history | Put into actual operation on QPS研究所's small SAR satellite constellation, enabling multiple InSAR analyses within a short period. |
| Impact on Business Performance | The company states that it will promote the practical application of high-value-added space data in society and develop new business opportunities, but the specific impact on sales and profit is not disclosed. |
| Source | Company research, based on a survey of publicly available papers and patent information (as of April 2026) |
Items this document does not state (7)
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.Previously, the company relied on observation plans based on rules of thumb and one-off attempts, making it difficult to obtain data suitable for InSAR analysis consistently. Drawing on the SAR satellite operations expertise accumulated with QPS研究所, the company sought to secure a stable volume of data by automatically identifying opportunities for analysis from among observation candidates across the satellite constellation.