Multi-source Water Depth Data Integration for Submarine Topography
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Solution Overview
Problem
The integration of multi-source data in submarine topography mapping is challenging due to accuracy differences and compatibility issues between various data sources like multi-beam sounding, single-beam sounding, historical maps, and satellite altimetry, particularly in creating seamless and accurate three-dimensional maps.
Innovation Solution
A method involving vectorization, adding topographical feature lines, and using gridding techniques such as Kriging and inverse distance weighting to integrate and correct water depth data from different sources, ensuring fidelity reconstruction of submarine topography by overlapping, contrasting, and splicing data sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multi-beam sounding data is used for submarine topography mapping, then mapping coverage and efficiency are improved, but data accuracy in blank regions deteriorates
Solution Approach 1:
The patent combines multiple data sources including multi-beam sounding data, single-beam sounding data, historical topography map data, and satellite altimetry data into a unified dataset. This merging allows the system to maintain high mapping efficiency while compensating for accuracy deficiencies in blank regions through data fusion and integration techniques.
Solution Approach 2:
The patent creates a universal data processing framework that can handle multiple types of water depth data from different sources simultaneously. The system performs multi-functional operations including data import, processing, splicing, and export, enabling it to adapt to various data sources and mapping requirements while maintaining consistent quality standards.
2Measurement precision
If single-beam sounding data is used to supplement mapping lines, then water depth data accuracy is improved, but mapping cost and time increase
Solution Approach 1:
The patent applies local quality processing by identifying specific blank regions and targeted areas where single-beam sounding data is needed, rather than uniformly applying it across the entire mapping area. The system intelligently determines which regions require supplementation and processes only those areas, maintaining accuracy where needed while minimizing time loss.
Solution Approach 2:
The patent performs preliminary processing of single-beam sounding data including coordinate system transformation, data filtering, and quality assessment before integration. This preliminary action prepares the data for efficient splicing with multi-beam data, reducing the time required during the main mapping process.
3Quantity of substance
If historical topography map data is vectorized and spliced with multi-beam sounding data, then data completeness is improved, but splicing difficulty and complexity increase
Solution Approach 1:
The patent transforms historical topography map data from various formats into a standardized vector format with unified coordinate systems and data structures. This parameter change includes converting paper maps and electronic maps into compatible digital formats, enabling automated splicing operations and reducing processing complexity.
Solution Approach 2:
The patent introduces an intermediary data processing layer that mediates between historical map data and multi-beam sounding data. This intermediary performs coordinate transformation, data format conversion, and quality assessment, facilitating seamless splicing while managing complexity through standardized intermediate representations.
4Area of stationary object
If satellite altimetry and global topography library data are used for deep water regions, then mapping coverage is improved, but data accuracy deteriorates
Solution Approach 1:
The patent implements dynamic data selection and weighting mechanisms that adaptively adjust the contribution of satellite altimetry data based on location and depth characteristics. In deep water regions where satellite data provides useful coverage extension, the system dynamically weights this data appropriately while relying more on multi-beam and single-beam sounding data in shallower regions where accuracy is critical.
Data Source
AI summary
The invention discloses a submarine topography construction method based on multi-source water depth data integration, which achieves reasonable splicing of various data such as multi-beam sounding, single-beam sounding, historical topography map and global topography and submarine topography construction. The invention comprises the following steps of: converting a historical submarine topography map into grid data, converting water depths of other sources into grids, using an overlapping and contrasting method to evaluate the accuracy of the water depths of different sources; using a multi-map-layer method to carry out integration, cutting and splicing on multi-source water depth data, constructing an error distribution model to reasonably revise and integrate various-source water depth data; and constructing multi-source water depth submarine topography and grid. The submarine topography construction method has the advantages that in marine mapping and charting process, the multi-source data can be effectively used, the historical water depth data accuracy and the comprehensive utilization efficiency are promoted, and the submarine topography construction method has important practical application values in marine mapping, submarine topography charting and submarine scientific studies.