Hyperspectral Sensor Band Selection via Simulated Spectral Representation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile surveillance platforms face challenges in accurately configuring sensors to collect and process spectral data from geographic areas due to unknown target and background characteristics, leading to increased processing and communication burdens, especially with hyperspectral imaging.
Innovation Solution
A system and method for simulating spectral information of a region of interest using GIS data and spectral libraries to identify materials of interest and background materials, allowing for intelligent configuration of sensors to collect and process data efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hyperspectral imagers are used to collect detailed spectral information, then measurement precision and information quality are improved, but processing requirements and communication bandwidth requirements increase severely
Solution Approach 1:
The patent segments the full hyperspectral data into selected subsets of spectral bands based on simulated spectral representations. Instead of processing all spectral bands, the system identifies and processes only the most relevant bands for detecting materials of interest, thereby reducing processing requirements while maintaining measurement precision for critical detections.
Solution Approach 2:
The patent extracts only the essential spectral bands needed for material detection from the complete hyperspectral dataset. By using simulated spectral representations to identify which bands contain the most discriminative information, the system removes unnecessary data, reducing communication bandwidth and processing loads while preserving the ability to detect target materials.
2Adaptability or versatility
If hyperspectral sensing is used to ease spectral band planning, then adaptability is improved, but sensor resolution requirements and data update rates increase
Solution Approach 1:
The patent performs preliminary simulation of spectral representations before actual sensing operations. By pre-identifying which spectral bands will be most useful for detecting expected materials of interest in a given geographic area, the system can configure sensors in advance to collect only those specific bands, reducing resolution requirements while maintaining adaptability to different survey scenarios.
3Loss of information
If all spectral bands are collected and transmitted, then information completeness is improved, but communication bandwidth requirements and data transmission time increase
Solution Approach 1:
The patent extracts and transmits only the most informative spectral bands identified through simulated spectral representations. By removing redundant or less discriminative bands from the transmission dataset, the system maintains the essential information needed for material detection while significantly reducing communication bandwidth requirements and data transmission time.
Data Source
AI summary
A system and method for surveying a region of interest with a mobile platform having a sensor having a plurality of narrow spectral bands spanning a contiguous frequency space is disclosed. In one embodiment, the method comprises generating a simulated spectral representation of a region of interest, identifying at least one of the plurality of materials as a material of interest within the region of interest, identifying other of the plurality of materials not identified as a material of interest as background materials within the region of interest, sensing, with the sensor, spectral data in the region of interest in the plurality of narrow spectral bands, selecting and transmitting only the spectral data of the one of more of the plurality of spectral bands of the sensor according to the simulated spectral representation of the material of interest.