Land Parcel Mapping Using Photogrammetry Error Correction
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Solution Overview
Problem
Current methods for mapping land parcels are labor-intensive and inaccurate, especially for large areas, as they rely on human measurements, which can be time-consuming and prone to errors, hindering precise identification of sub-area ownership and development planning.
Innovation Solution
A method utilizing photogrammetry data processing to correct errors in geometric parcel data by computing real-world distances, identifying intersecting subareas, and removing redundant vertices, ensuring accurate boundary definitions and reducing errors in land parcel mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human beings are sent to map land parcels using measuring equipment, then the mapping process can be performed manually, but the process becomes extremely time-consuming and labor-intensive for large areas
Solution Approach 1:
The patent replaces manual mechanical measurement processes with automated photogrammetry-based computer processing. Instead of human beings physically measuring land parcels with equipment, the system uses aerial photographs and computer algorithms to automatically generate accurate boundary definitions, thereby eliminating the time-consuming manual fieldwork while maintaining or improving measurement precision.
Solution Approach 2:
The patent creates accurate copies of land parcel boundaries through photogrammetry - generating digital representations from aerial photographs. This copying process allows multiple analyses and verifications to be performed on the digital model without requiring repeated physical field measurements, significantly reducing time loss while maintaining mapping accuracy.
2Ease of manufacture
If manual measurement processes are used for land parcel mapping, then the process can be completed with simple equipment, but the measurements become prone to human errors
Solution Approach 1:
The patent replaces manual measurement operations with automated computer-based photogrammetric processing. The system objectively calculates boundary positions from aerial photographs using algorithms, eliminating human measurement errors while maintaining process accessibility through standardized automated workflows that are equally easy to implement.
Solution Approach 2:
The patent incorporates verification mechanisms that provide feedback on measurement consistency. The system checks whether calculated boundary positions meet accuracy criteria and can identify and correct errors, thereby improving reliability while maintaining ease of use through automated quality control.
3Manufacturing precision
If photogrammetry data is used to define land parcel boundaries, then the boundary definitions become more accurate, but the data processing becomes more complex
Solution Approach 1:
The patent replaces complex manual boundary definition processes with automated photogrammetry-based computer processing. While the underlying photogrammetric algorithms are sophisticated, they are implemented as standardized software processes that automatically handle the complexity, delivering high boundary definition accuracy without requiring users to manually manage the computational complexity.
Solution Approach 2:
The patent enables the system to automatically perform verification and correction of boundary definitions without requiring external intervention. The automated process independently handles data processing, error detection, and correction, thereby managing complexity internally while delivering accurate results to users.
4Stability of the object's composition
If vertices are kept in the initial representation, then the polygon definition is complete, but redundant vertices increase data size and processing complexity
Solution Approach 1:
The patent extracts and removes redundant vertices from the polygon vertex lists while preserving the essential boundary definition. The system identifies collinear or duplicate vertices that do not contribute to the actual boundary shape and eliminates them, thereby reducing data volume and processing requirements while maintaining complete and accurate polygon definitions.
Data Source
AI summary
Processing photogrammetry data that represents parcels by computing a real-world distance between a first location representing a location of a specific separation point of a specific subarea included in the area as appearing in the initial representation and a second location that represents a location of the same specific separation point as appearing in the photogrammetry data, defining a specific separation point as identifying incorrect if the real-world distance exceeds a reference distance dictated by accuracy level, intersecting subareas of the subarea to which the examined vertex belongs, measuring a distance between the examined vertex and a closest point in the intersecting subarea, marking the examined vertex as an error if the intersecting distance exceeds a threshold, computing angles for edges defining subarea boundaries, and removing a vertex between two subsequent edges having an angle between them that satisfies a condition representing that the subsequent edges constitute a single line.