Polarization Intelligent Sensing for Marine Imaging Adaptability
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Solution Overview
Problem
Current optical imaging technologies face challenges in adapting to severe marine environments with complex scattering characteristics, limited information processing capabilities, and interference from changing illumination conditions, making it difficult to obtain clear target scene illumination images.
Innovation Solution
A polarization intelligent sensing system that combines polarization imaging technology with artificial intelligence, utilizing a polarization optical imaging module, image processing module, and target scene interpretation module to preprocess and enhance images using neural networks, specifically employing a multi-dimensional target detection neural network based on Detection Transformer (DT) for real-time information processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If light intensity imaging technology is used in marine environments, then imaging can be performed under normal conditions, but imaging quality deteriorates under changing illumination conditions such as strong light, weak light, and shadow
Solution Approach 1:
The patent transitions from intensity-based imaging to polarization-based imaging, changing the fundamental parameter used for image acquisition. By measuring polarization state rather than intensity, the system achieves immunity to illumination variations, resolving the contradiction between environmental adaptability and imaging quality under varying light conditions
Solution Approach 2:
The patent introduces polarization information as an intermediary parameter that mediates between the target and the imaging system. This intermediary allows extraction of target information without direct dependence on illumination intensity, enabling consistent imaging quality across different lighting conditions while maintaining high environmental adaptability
2Measurement precision
If polarization imaging technology is used to suppress background noise and enhance targets, then detection accuracy improves, but system complexity increases
Solution Approach 1:
The patent segments the imaging process into distinct polarization channel acquisitions and processing stages. By dividing the complex polarization measurement into manageable components (different polarization angle acquisitions, separate processing for each channel), the system achieves high detection accuracy while keeping implementation complexity manageable through modular architecture
Solution Approach 2:
The patent adds the polarization dimension to traditional intensity imaging, transforming 2D spatial images into multi-dimensional polarization images. This dimensional expansion enables background noise suppression and target enhancement without requiring complex hardware modifications, as the additional information dimension can be processed through computational methods
3Productivity
If artificial intelligence technology is combined with polarization imaging for rapid image interpretation, then information processing speed improves, but computational requirements increase
Solution Approach 1:
The patent performs preliminary polarization image enhancement and feature extraction before applying AI algorithms. By pre-processing the polarization images to enhance target features and suppress noise in advance, the subsequent AI interpretation requires less computational power while maintaining high processing speed, effectively resolving the contradiction between productivity and energy consumption
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
The system achieves high environmental adaptability, enhances target highlighting, suppresses background noise, and improves detection accuracy in severe environments like marine and poor illumination conditions, enabling effective sea area trend perception, target search, and sea ice detection.
Implementation Method 1
performing polarization imaging on a target scene to obtain a polarization image
Data Source
AI summary
A polarization intelligent sensing system and a polarization intelligent sensing method are provided. The polarization intelligent sensing method includes performing the polarization imaging on the target scene to obtain the polarization image, performing the calculation on the polarization image to obtain the polarization information of the target scene, generating the image information to be restored of the target scene according to the polarization information of the target scene, and constructing the multi-dimensional target detection neural network based on the DETR, and obtaining the interpretation information of the target scene based on the image information to be restored of the target scene, the spectral information, or the intensity information through the neural networks. The system and the method are widely applied to environments of various carrying platforms, has strong environmental adaptability, and is capable of obtaining target scene information that cannot be sensed by a conventional optical sensor.