Aerial Polarization Imaging for Subsurface Fish Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for detecting fish, such as visual observation, SONAR, and conventional aerial imaging, are limited by field of view, effectiveness in shallow waters, and inability to provide visual confirmation of targets, especially in locating productive distant patches of fish and subsurface activity.
Innovation Solution
A vessel-deployed UAV system with multispectral/polarimetric imaging, thermal imaging, short-range radar, and onboard processing to detect fish activity, integrating with vessel electronics for real-time guidance and geolocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If SONAR is used to detect fish, then depth information and object detection in water column is improved, but field of view is limited to area directly beneath transducer
Solution Approach 1:
The patent transitions from vertical SONAR scanning (one-dimensional depth measurement beneath transducer) to aerial horizontal scanning (two-dimensional surface area coverage). The UAV captures images across a wide geographic area, converting the detection problem from vertical profiling to horizontal mapping, thereby expanding field of view while maintaining detection capability.
Solution Approach 2:
The patent introduces an intermediary approach by using surface indicators (bird aggregations, water surface disturbances, thermal anomalies) as proxies for subsurface fish locations. Instead of directly imaging subsurface fish with limited SONAR, the system detects surface phenomena that correlate with fish presence, effectively extending detection range through indirect observation.
2Area of stationary object
If conventional aerial imaging is used for fish spotting, then extended sensory reach is achieved, but surface glare and water surface turbidity limit detection accuracy
Solution Approach 1:
The patent merges multiple sensing modalities (visible spectrum imaging, thermal imaging, polarization filtering) into a unified detection system. By combining these different types of sensors, the system overcomes the limitations of any single sensor type, using thermal data to penetrate glare and polarization to enhance contrast through turbid water.
Solution Approach 2:
The patent changes the operational parameters of detection by utilizing different spectral bands (thermal infrared) and polarization states. This allows the system to detect fish-related surface phenomena under varying environmental conditions, maintaining detection accuracy despite changes in lighting, glare, or water clarity.
3Measurement precision
If multi-modal sensing is integrated in UAV systems, then detection capability is improved, but system complexity increases
Solution Approach 1:
The patent designs the UAV system with multi-functional sensors that can serve multiple purposes. For example, the camera system not only captures visible images but also thermal data and polarization information, allowing a single platform to perform various detection tasks (surface activity detection, thermal anomaly detection, glare reduction) without requiring separate specialized systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Extends the effective search area for fish beyond the operator's visual range, providing accurate and actionable guidance for fishing locations with reduced false positives through sensor fusion and real-time data processing.
Implementation Method 1
at least one thermal camera for identifying sea surface temperature anomalies, such as thermal fronts or upwellings
Implementation Method 2
polarization-derived subsurface signatures
Data Source
AI summary
An aerial polarimetric fish-detection system and method acquire polarization-resolved imagery from an elevated platform over a water area, compute per-pixel polarization metrics (degree and angle of linear polarization), compensate for viewing geometry and environmental factors, and detect candidate subsurface scatterers consistent with fish via spatial and temporal anomaly analysis. The system geolocates candidate fish positions, estimates confidence and depth proxies, and add more details about how the polarization may happen to allow seeing below the surface and reducing glare.