16 results about "Spatial response" patented technology

The application discloses a kind of based on natural language's traffic event's question and answer method and system, belong to intelligent question and answer field, first acquisition roadside image and user query, respectively by visual encoder and natural language encoder extraction multiscale visual feature set and text feature;Then utilize pre-training cross-modal intent alignment and focus module, with text feature as guide to spatial attention anchor and cross-modal intermingling to visual feature, output joint representation feature;Again, the feature is input light-weight decoder obtained by structured logic decoupling and migration strategy distillation, so that it executes step-by-step logical inference and coordinate regression based on spatial response graph in parallel, synchronously output natural language answer text and target bounding box coordinates;Finally generate traffic event question and answer result containing semantic answer and visual mark.The application effectively solves the problem that prior art cannot accurately and efficiently based on natural language to traffic event intelligent question and answer.

This invention relates to the field of defect detection technology, specifically to a high-voltage cable defect location system and method based on a two-dimensional ultrasonic array. The system includes a signal main peak acquisition module, a lateral deviation calculation module, an excitation timing optimization module, a main peak spatial focusing module, and a focusing area control module. This invention utilizes a multi-element spatial collaborative acquisition method of a two-dimensional ultrasonic array. It constructs a signal spatial mapping relationship through the main peak timing characteristics, combines path difference parameters to achieve fine analysis of the propagation characteristics of multi-source signals, optimizes the excitation timing and array spatial response structure by adjusting the excitation sequence, periodically determines spatial convergence indices, identifies the main peak focusing state of the defect area, and dynamically adjusts the element weight distribution to improve the signal response capability of specific spatial areas. The spatial location of the defect area is thus clearly distinguished, effectively improving the resolution and accuracy of multi-point defect location in complex cable structures.

The application provides a spatial response compensation method and device, electronic equipment and a storage medium. The spatial response compensation method comprises the following steps: constructing a spatial transfer function according to spatial input information and corresponding spatial response information of a system; splitting the spatial transfer function into a minimum phase system and an all-pass system; determining a first inverse system corresponding to the minimum phase system and a second inverse system corresponding to the all-pass system; constructing a compensation system according to a preset target frequency response, the first inverse system and the second inverse system; compensating the spatial transfer function through the compensation system to obtain a compensated spatial transfer function; and converting the spatial input information of the system into target spatial response information through the compensated spatial transfer function. The application decomposes an arbitrary stable and causal linear time-invariant system into a minimum phase system and an all-pass system with different properties, and solves the inverse systems of the two systems, thereby reducing the complexity of the solution.

The application discloses a movable array element anti-interference position beam joint method facing unknown direction, introduces movable array elements, and makes array geometry structure be treated as adjustable optimization variable in deployment stage. By changing equivalent array element spacing and pattern structure of the array, the separable degree of expected signal and interference signal incident direction on the spatial response is improved, and the destructive influence of strong interference on the array output when falling in the high side lobe / grating lobe direction of the array is reduced. In each candidate position, an adaptive beam forming process with a pilot sequence as a reference is adopted to directly generate a beam forming weight vector corresponding to the position, so that the mean square error of the receiving output in the pilot interval is minimized. The "movable array element position-performance index" is modeled as a target function to be optimized, and a global adaptive search method based on a probability model is adopted to select the next evaluation position in an iterative manner, instead of exhausting evaluation on all candidate positions.

This application discloses an intelligent identification and calibration method for contamination of infrared flame detectors in tunnel environments, relating to the field of intelligent control identification. It addresses the technical problems of existing technologies, such as the inability to identify the type and spatial distribution of optical window contamination, the reliance on a single calibration strategy, and the difficulty in maintaining a stable alarm distance in complex tunnel environments. The method includes: acquiring data within the current detection cycle; calculating the transmittance deviation between the transmittance characterization value and a pre-calibrated reference transmittance characterization value; acquiring spatial response deviation information; acquiring at least one type of tunnel operating condition information within the tunnel environment; determining the contamination mode of the optical window based on the transmittance deviation, spatial response deviation information, and tunnel operating condition information; selecting a calibration strategy matching the contamination mode of the optical window from a set of preset calibration strategies based on the contamination mode of the optical window; and using the selected calibration strategy to perform sensitivity compensation calibration on the infrared flame detection signal.

The application discloses a kind of hybrid codec parallel single-pixel imaging method, it is related to the field of computational imaging technology.The specific includes: configure multiple photoelectric detectors to receive light signal from target scene, and the target scene is regarded as by multiple sub-regions;Control spatial light modulator to project a series of encoding patterns to target scene;Utilize multiple photoelectric detectors and collect light intensity signal in parallel, wherein each photoelectric detector collected light intensity signal contains the mixed light intensity component from multiple sub-regions;Obtain a unmixing matrix, the unmixing matrix represents the spatial response weight distribution of each photoelectric detector to each sub-region light signal;Based on unmixing matrix, the light intensity signal collected is unmixing operation to separate out respectively corresponding to each sub-region independent response signal;According to independent response signal and encoding pattern, reconstruct the image of each sub-region.The purpose is to solve the problem of traditional single-pixel imaging slow and array detector high cost, there is signal crosstalk.

This invention provides a wireless communication control method and apparatus utilizing element error fitting of a millimeter-wave array antenna. The method includes: identifying anomalous element positions based on the synchronization relationship between the received signal sequences of each element obtained from the downlink reference signal received by the millimeter-wave array antenna during normal communication, thus obtaining anomalous elements; constructing local spatial response difference features based on the first received signal of the anomalous element in the received signal sequence and the second received signal of the normal element in the received signal sequence; fitting the offset of each anomalous element relative to the ideal element response based on the projection behavior of the local spatial response difference features in the spatial angular domain, thus obtaining the element error morphology; and activating redundant antenna subarrays if the element error morphology indicates that the millimeter-wave array antenna does not meet preset beam pointing conditions. This invention improves the robustness and stability of millimeter-wave communication systems under complex hardware conditions.

This invention relates to a fine-grained classification method and system for unbalanced clothing based on attention enhancement, belonging to the field of computer vision and image recognition technology. It extracts a first feature map and a second feature map to obtain a first spatial response map and a second spatial response map. Based on the pixel activation intensity distribution and pixel activation statistical characteristics of the response maps, it obtains an overlap rate index and an adaptive threshold. Spatial filtering is performed on the first feature map to obtain a filtered first feature map, and cross-level residual enhancement processing is performed on it to output a target discrimination feature vector. The classification result and its feedback optimization parameters are obtained to update the adaptive threshold. This method helps to eliminate the interference of background noise and spurious activation on fine-grained discrimination, significantly improving the robustness and practical value of the classification system.

This invention relates to the field of aviation technology in image processing, specifically disclosing an aviation smoke detection method based on image recognition. The method acquires continuous image sequences from multiple perspectives within the cabin, constructs a four-dimensional spatiotemporal tensor, extracts temporal feature sequences along the time axis, and performs directional convolution sampling based on airflow direction parameters to obtain spatiotemporal response values, which are then aggregated into a feature map set. Spatial weights are generated based on the physical laws of smoke diffusion, and temporal weights are generated based on grayscale fluctuation frequency; these weighted values ​​yield a feature representation. The feature representation is decomposed into spatial response maps, and the three-dimensional coordinate parameters of the smoke source are obtained through spatial coordinate voting and weighted fusion. A confidence score is calculated based on the dispersion of candidate coordinates and airflow paths. The coordinate information is matched to cabin spatial layout data to generate a situational output. This invention can achieve precise location of smoke sources and output reliability quantification indicators in strong airflow environments.

The application discloses an underwater image sharpening method based on differential convolution and polarization fusion, comprising: spatially registering an RGB image and a polarization image of an underwater object; inputting the RGB image into a fusion differential convolution backbone network to cooperatively extract edge texture, color background and structure information of the image through differential convolution and conventional convolution, and obtaining embedded features; inputting the polarization image into a polarization coding branch to guide interactive fusion of the embedded features at different scales through multi-scale, and obtaining multi-modal fusion features; constructing an RGB spatial enhancement branch based on spatial distribution of the fusion features to enhance spatial response of a target region and significant texture; and obtaining a sharpened underwater image through a decoder and up-sampling reconstruction. The application effectively solves problems such as image detail blur, texture degradation and color shift in a high-turbidity underwater environment, enhances detail information and improves image sharpness while realizing color correction, and significantly improves underwater image quality.

The invention relates to the technical field of aviation of image processing, and particularly discloses an aviation smoke detection method based on image recognition, which comprises the following steps of: acquiring a continuous image sequence of a plurality of visual angles in a passenger cabin, and constructing a four-dimensional space-time tensor; extracting a time sequence feature sequence along a time axis, performing directional convolution sampling according to the airflow direction parameters, obtaining space-time response values, and aggregating the space-time response values into a feature map set; generating a space weight according to a smoke diffusion physical rule, generating a time weight according to a gray level fluctuation frequency, and obtaining a feature expression after weighting; decomposing the feature expression into a spatial response diagram, obtaining three-dimensional coordinate parameters of a smoke source through spatial coordinate voting and weighted fusion, and calculating a confidence score according to the dispersion degree of candidate coordinates and an airflow path; the coordinate information is matched to passenger cabin space layout data, and situation output is generated; according to the invention, the smoke source can be accurately positioned in a strong airflow environment, and the reliability quantitative index can be output.

The application provides a spatial matching method for cross-scale methane remote sensing data, relates to the technical field of atmospheric remote sensing monitoring, and comprises the following steps: constructing a prior profile library and an average kernel set on a pressure grid, taking the prior profile library and the average kernel set as a benchmark to update the methane dry air column average mixing ratio of a pixel, calculating an optimal parameter set of an on-orbit point spread function of each sensor, and then mapping the updated methane dry air column average mixing ratio to a grid point of the pressure grid. The application introduces a common prior profile and an average kernel sensitivity benchmark, replaces the inversion results of different sensors to eliminate the difference in vertical detection capability, and outputs the methane dry air column average mixing ratio after vertical matching. Meanwhile, the optimal parameter set of the on-orbit point spread function of each sensor is calculated, and the optimal parameter set is converted into a discretized horizontal observation operator, so that the horizontal matching can be realized on each pixel of each sensor. The data standardization of the vertical sensitivity and the horizontal spatial response is realized.

This invention belongs to the field of intelligent perception and target detection technology for railway environments, specifically disclosing a method and system for detecting foreign objects in track areas based on distillation perception. The method utilizes a semantic segmentation model as the teacher network to extract semantic structural information of the track area, and guides a semantically enhanced target detection model (actually a student model) to focus on key areas through distillation learning, thereby enhancing its area perception capability and achieving accurate identification of foreign objects. To this end, a semantic perception module based on spatial attention guidance is designed in the semantically enhanced target detection model to model the track spatial response area under the track semantic guidance provided by the teacher model. Simultaneously, this invention also constructs a semantic region enhancement fusion module to integrate features with semantic perception capabilities with basic target detection features, effectively mitigating interference between the foreign object target and the background environment, thus improving the accuracy and robustness of foreign object detection in track areas under complex railway environments.

This invention discloses a method and system for automatically generating parametric three-dimensional geological and structural models for geotechnical engineering, belonging to the field of information-based modeling technology for geotechnical engineering. The method includes the following steps: acquiring borehole data of the geotechnical engineering area and extracting corresponding geological parameters; applying parameter perturbations of a preset amplitude to the target geological parameters and generating candidate three-dimensional stratigraphic geometry results; determining the effective area of ​​influence of the target geological parameters based on the three-dimensional stratigraphic geometry results; establishing a monotonic constraint relationship between the change in target geological parameters and the change in stratigraphic geometry within the effective area, and generating a three-dimensional stratigraphic model; and combining the three-dimensional stratigraphic model with the engineering structural model to obtain a parametric three-dimensional geological and structural model. This invention solves the problems of unpredictable stratigraphic geometry and unstable structure-stratigraphic relationships caused by parameter changes in existing three-dimensional geological modeling by analyzing the stratigraphic geometric spatial response caused by geological parameter perturbations and introducing a monotonic constraint mechanism.

This invention discloses a high-fidelity adaptive degradation method for radiometric data in remote sensing images controlled by modulation transfer function. First, channel-independent radiometric fidelity normalization is performed for each band. Then, candidate fuzzy kernel parameters are generated through a multi-kernel family sampling mechanism and content-adaptive fuzzy parameter mapping. Next, the parameters are physically constrained and truncated based on the spatial response information or modulation transfer function information disclosed by the target sensor. Subsequently, fuzzy convolution, downsampling, and optional noise superposition are performed. Finally, the original radiometric scale of each band is restored through inverse normalization to obtain a low-resolution degraded image. This invention can better simulate the spatial fuzziness characteristics and frequency attenuation laws in real remote sensing sensor imaging, exhibiting good stability and practicality. It is suitable for multispectral remote sensing image degradation modeling, training sample construction, and related remote sensing image processing applications, providing a more reliable data foundation for remote sensing image super-resolution reconstruction, image enhancement, and related downstream tasks.

A method for modeling the microphone characteristics of a target microphone is provided. The impulse response of the target microphone is measured over various angles. Signal conditioning of the measurement data is performed. The spatial response is adjusted based on a spatial response adaptation algorithm, and filter parameters and / or model parameters are determined.