Geographic Feature Extraction from Multi-Band Sensor Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for feature extraction from sensor data, such as images, are time-consuming and limited by the skills of human users, who must manually digitize and label geographic and geometric features like buildings and roads.
Innovation Solution
A computing device processes multi-band sensor data by receiving user input to designate a sub-region, generating a single band representation, and applying a sensor differential method to enhance contrast, followed by thresholding and segmentation to automatically or semi-automatically extract features like buildings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual digitization by skilled analysts is used, then feature extraction accuracy is maintained, but time consumption increases significantly
Solution Approach 1:
The patent replaces the mechanical manual digitization process with an automated computer-based system that uses image processing algorithms to detect and extract geographic features automatically, eliminating the need for manual analyst intervention while maintaining extraction accuracy
Solution Approach 2:
The system enables self-service feature extraction by automatically processing sensor data to identify and digitize geographic features without requiring skilled human analysts, allowing the system to serve itself in performing the extraction task
2Manufacturing precision
If manual feature digitization is performed, then feature boundary precision is achieved, but operator skill dependency increases
Solution Approach 1:
The patent substitutes the human operator's manual digitization skills with automated image processing algorithms that objectively detect feature boundaries, eliminating dependency on operator skill levels while maintaining consistent boundary precision across different users
Solution Approach 2:
The system creates a digital copy of the geographic features from sensor data through automated detection and digitization processes, producing accurate feature representations without requiring human copying or tracing operations
3Loss of information
If multi-band sensor data is processed, then information completeness is improved, but data processing complexity increases
Solution Approach 1:
The patent extracts and processes only the relevant portions of multi-band sensor data that contain geographic feature information, eliminating unnecessary data processing steps while preserving all essential information needed for accurate feature extraction
Solution Approach 2:
The system transforms multi-band sensor data into processed images with enhanced parameters optimized for feature detection, changing the data representation to make processing more efficient while maintaining complete information about geographic features
Data Source
AI summary
Methods and systems for facilitating detecting features in sensor data are described. One example method implemented by a computing device includes receiving a first set of sensor data about a geographical region, and generating a second set of sensor data. The first set of sensor data includes data in a plurality of bands. The second set of sensor data is generated by receiving a first input designating a first sub-region of the geographical region, and determining a single band representation of at least a portion of the first set of sensor data associated with the first sub-region.