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Blockchain-Based Method for Spatial Retrieval and Verification of Remote Sensing Images
Yujie Liu1,2, Yuanfei Chang1
1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Sensors (Basel, Switzerland)
|April 13, 2024
Summary
This study introduces a novel blockchain method for efficient remote sensing image retrieval and verification. It significantly reduces data access latency, enhancing land registry systems.
Area of Science:
- Geoinformatics
- Blockchain Technology
- Data Management
Background:
- Remote sensing images are crucial for land management.
- Blockchain technology offers potential for securing and verifying these images.
- Efficient retrieval of blockchain-stored images is an underexplored area.
Purpose of the Study:
- To develop an efficient blockchain-based method for spatial index verification of remote sensing images.
- To address the sparse research on blockchain-based image retrieval.
Main Methods:
- Utilized Hyperledger Fabric for the blockchain framework.
- Employed Geohash to linearize spatial information.
- Integrated LSM trees for efficient data retrieval and verification.
- Used IPFS for secure image storage and transmission.
Main Results:
- Significantly reduced latency in data retrieval and verification.
- Maintained Hyperledger Fabric's write performance.
- Enhanced overall system throughput.
- Demonstrated effective blockchain-based verification for land registry systems.
Conclusions:
- The proposed method offers an efficient solution for blockchain-based remote sensing image verification.
- This approach improves data management and accessibility in land registry applications.
- It lays a foundation for secure and efficient spatial data management on the blockchain.
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