Four-Dimensional Remote Sensing Data Extraction via Re-Projection
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Solution Overview
Problem
Traditional remote sensing data storage methods are inadequate for four-dimensional data, as they reduce dimensions to facilitate storage, leading to inefficiencies in managing, organizing, and extracting time-space-spectral data.
Innovation Solution
The method involves re-projecting remote sensing images into spectral cubes, storing them using specific data formats that prioritize either spatial or spectral continuity, allowing for efficient extraction based on requirement information, thereby optimizing storage and retrieval processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If four-dimensional remote sensing data is stored using traditional three-dimensional storage methods by reducing dimensions, then storage compatibility is maintained, but data extraction efficiency and multidimensional analysis capability deteriorate
Solution Approach 1:
The patent introduces a fourth dimension to the storage structure by organizing data as a time-spectrum-spatial cube rather than reducing to three dimensions. This allows full preservation of the four-dimensional characteristics (time, spectrum, space) while enabling efficient extraction through the structured multidimensional organization, resolving the contradiction between extraction efficiency and structural complexity.
2Ease of operation
If remote sensing data is organized in a three-dimensional cube set by reducing spectral or time dimension, then storage simplicity is maintained, but multidimensional analysis capability and data management convenience deteriorate
Solution Approach 1:
The patent preserves all four dimensions (time, spectrum, space) in the storage structure rather than reducing to three dimensions. This maintains complete dimensional information while organizing data in a structured cube format that enables convenient management and analysis across all dimensions simultaneously.
Solution Approach 2:
The patent segments the four-dimensional data into a structured cube format with clear dimensional boundaries, allowing efficient access and management of specific time-spectrum-spatial regions without losing any dimensional information, thus improving ease of operation while preventing information loss.
3Speed
If spectral cubes are stored with spatial location prioritization, then spatial data access speed is improved, but spectral band continuity is reduced
Solution Approach 1:
The patent implements flexible storage ordering that can be dynamically adjusted based on access patterns and requirements. The system can prioritize spatial location for faster access or maintain spectral band continuity, allowing dynamic adaptation to different operational needs without being constrained by a fixed storage arrangement.
Data Source
AI summary
Disclosed is an extraction method for time-space-spectrum four-dimensional remote sensing data. The method includes: obtaining remote sensing images at a preset coverage area during a preset time period (S1); re-projecting the remote sensing images in a way that the respective pixel positions of the respective remote sensing images at different time points are overlapped (S2); storing all of re-projected remote sensing images into a storage unit according to a first preset storage method, or storing all of the re-projected remote sensing images into the storage unit according to a second preset storage method (S3); determining, on the basis of requirement information for data extraction, whether current data format of remote sensing data is a data format matching the requirement information (S4); if yes, determining, on the basis of the requirement information, a storage location of required remote sensing data, and extracting the required remote sensing data (S5). In the case storing is executed through the two preset storage methods above, the time consumption for locating the storage location can be reduced, thus the efficiency in processing the four-dimensional remote sensing data can be improved.