7 results about "Spectral matching" patented technology

This invention discloses a robust method, device, and storage medium for laser spot recognition and tracking in complex lighting environments, belonging to the field of computer vision and target detection. Addressing the problems of high false alarm rates and poor robustness in existing methods under interference such as strong ambient light, dynamic projector flicker, and specular reflection, this invention proposes a multi-layered processing framework of "detection-verification-tracking." First, adaptive threshold segmentation is performed on the current frame image to extract candidate regions with brightness higher than the background. Second, multi-dimensional feature verification is introduced. Based on the inherent physical properties of the laser spot (such as spectral matching degree, shape and size, and two-dimensional Gaussian intensity distribution) and temporal motion patterns, candidate regions are jointly verified and filtered to effectively remove various homogeneous and heterogeneous interferences. Finally, through a multi-target trajectory management module, the filtered candidate spots are correlated with historical trajectories (e.g., using the Hungarian algorithm), and combined with Kalman filter prediction and state machine-based trajectory lifecycle management (temporary, confirmed, lost, terminated), stable tracking and output of the laser spot are achieved. This invention does not rely on a large amount of training data, has high computational efficiency, and can significantly improve the accuracy and robustness of laser spot recognition under complex dynamic lighting conditions, providing a reliable front-end perception guarantee for vision-based high-precision laser spatial positioning and interaction systems.

The invention describes an unattended surveillance node and a method for identifying signal-emitting intruders across multiple physical domains. The system uses a hierarchical triggering architecture where mechanical disturbance sensors (acoustic and seismic) operate as low-power logic triggers. Upon detecting a mechanical signature matching an intrusion profile, the system activates a wide-spectrum radio frequency (RF) analysis. The key innovation lies in a correlational fusion engine that validates the intrusion only if there is a rhythmic or spectral match between the mechanical pressure fluctuations and the detected electromagnetic emissions, allowing the classification of the source (biological, mechanical, or electronic) with high immunity to environmental false alarms.

A concept is presented for adapting a predefined first mesh topology representing an organ to a different second mesh topology of the organ. One such concept includes identifying a correspondence between the first mesh topology and the second mesh topology based on a spectral matching of the first mesh topology and the second mesh topology. The predefined first mesh topology is aligned with the second mesh topology based on the identified correspondence between the first mesh topology and the second mesh topology.

This application provides a method for constructing a mainshock and aftershock sequence and a method for assessing damage to an intake tower. The method includes: obtaining an unfavorable mainshock and aftershock sequence based on ground motion data, and a database of near-field measured mainshocks, near-field measured aftershocks, far-field measured mainshocks, and far-field measured aftershocks; constructing multiple input conditions using the data from the databases and performing unified amplitude modulation processing to obtain the target mainshock and target aftershocks; determining the mainshock spectrum value of the target mainshock and the aftershock spectrum value of the target aftershock; determining the sum of squared residuals (SSE) between the mainshock spectrum value and the aftershock spectrum value, and a scaling factor. k ; Combine the sum of squared residuals (SSE) with the scaling factor k The mainshock spectrum and aftershock spectrum values ​​with a difference less than a preset difference threshold are used as matching results, thereby constructing a mainshock and aftershock combination with good spectral consistency; this application uses an improved spectrum matching method to construct a mainshock and aftershock combination with good comparability.

This application provides a blockchain-based intelligent processing method, system, electronic device, and storage medium for cross-border e-commerce orders, relating to the field of blockchain technology. The method includes: receiving order information, material spectral data, and genuine product feature data to construct a multi-dimensional knowledge graph; triggering hyperspectral scanning based on product identification to generate material composition data, and performing spectral matching with the knowledge graph to obtain a matching degree; simultaneously extracting key region feature sets from the hyperspectral image using the U-Net image segmentation algorithm, and comparing them with an anti-counterfeiting feature library to obtain spatial similarity; when both indicators meet customs thresholds, activating the target smart contract based on an emergency identifier and generating an execution record; finally, encapsulating the verification data into a verification package, generating a hash value, and writing it to the blockchain, establishing a bidirectional index with the order through the smart contract to achieve state synchronization. This application improves the automation level and data reliability of cross-border e-commerce product customs clearance verification.

The application provides a kind of radiation calibration method and device for sub-meter optical remote sensing satellite data, it is related to remote sensing technical field, including: based on global atmospheric parameter observation site, extract and establish pseudo stable ground library;For each kind of pseudo stable ground, establish BRDF model and spectral curve reconstruction model, calculate the spectral matching factor of reference sensor and to be calibrated sensor;Based on the to-be-calibrated image of pseudo stable ground, the theoretical ground reflectivity of to-be-calibrated image is calculated using spectral matching factor and BRDF model;Based on the theoretical ground reflectivity, the observation angle and the measured atmospheric parameters of site, the theoretical apparent radiance of to-be-calibrated image is calculated;The theoretical apparent radiance of to-be-calibrated image on time series is fitted with DN value, the variation trend curve of cross calibration coefficient is determined, to carry out radiation calibration for sub-meter optical remote sensing satellite data.The application can realize high frequency, high precision cross calibration of sub-meter optical remote sensing satellite data.

The application discloses a kind of electromagnetic interference source diagnosis positioning methods based on IC level EMC data assets, by constructing read-only interference source positioning database, extracts IC eigenfrequency spectrum characteristics;Obtain measured EMC data for spectrum matching, identify dominant interference source and record the whole diagnosis process, generate structured, traceable diagnostic process data assets;Verification data is stored to user local application knowledge base and generates local correction coefficient.The application realizes accurate diagnosis of interference source, data and assetization of diagnosis process, solves the problem of accurate quantization of multiple interference sources in complex systems, and the diagnosis process is traceable, and the diagnosis idea can be used for reference, to improve EMC diagnosis efficiency.