A method and system for real-time data processing in national land space planning
By performing image entropy, gradient mean and gradient variance analysis on remote sensing images, screening and organizing data, the problem of cloud-affected in remote sensing image processing is solved, high-quality data set construction and image analysis are realized, and data acquisition efficiency is improved.
Patent Information
- Application Number
- CN202410888191.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-04
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2044-07-04
AI Technical Summary
Existing remote sensing image processing methods are easily affected by cloud layers, resulting in the inability to use remote sensing image data and waste of resources.
By analyzing the image entropy, gradient mean and gradient variance of the complete remote sensing image of the land space to be measured, the data clarity index is calculated, the image data is filtered and organized, the clear data set is constructed, and the grid division and sub-region division are performed to identify and filter the abnormal cloud area to ensure the data quality.
It realizes rapid quality evaluation and screening of remote sensing images, ensures the quality of the data set, avoids resource waste, and improves the accuracy of image analysis and data acquisition efficiency.