12 results about "Spectral mapping" patented technology

This invention discloses a fully automated, high-speed, and highly accurate three-dimensional reconstruction method and system, relating to the field of three-dimensional dynamic reconstruction. The invention introduces the construction of a spectral-point cloud fusion model and the calculation of a dynamic reflectance field by Monte Carlo ray tracing. By combining this with Fresnel's equation and dynamic ray tracing techniques, the reflectance calculation conforms to physical laws, thereby improving the accuracy of spectral mapping. Furthermore, the invention optimizes spectral data based on an error correction matrix using a spectral error compensation network, reducing the accumulation of errors caused by factors such as measurement angle and surface roughness. Moreover, in the three-dimensional reconstruction process, the invention improves the continuity and spectral consistency of the three-dimensional model by using Poisson surface reconstruction and a spectral reflectance-driven mesh optimization method based on spectrally enhanced point cloud data.

This application provides a machine learning-based method and system for optimizing the photothermal conversion efficiency of solar desalination in seawater. The method includes: firstly, collecting solar spectral distribution data, seawater turbidity spectral data, real-time heat flow data, and semiconductor nanomaterial data for the target sea area; and constructing a material spectral mapping library based on the light absorption characteristics of the nanomaterials. By coupling analysis of the solar spectrum and seawater turbidity spectrum to form environmental constraints, a Bayesian optimization model is used in conjunction with the material spectral mapping library and real-time heat flow data to generate the optimal nanomaterial mixing ratio under these constraints. Subsequently, a deep residual network is used to predict the interfacial evaporation rate and obtain the optimal material morphology configuration scheme, which is finally applied to the preparation of semiconductor nanomaterials. This application improves the photothermal conversion efficiency of solar desalination systems in high-turbidity seawater environments.

The invention discloses a multi-parameter integrated photoelectric detection sensing system based on a wide spectrum response photoelectric material. The system relates to the photoelectric sensing technology and comprises a wide-spectrum photoelectric material pixel array, a reading circuit and a processor. The pixel array is composed of a plurality of detection units, and each detection unit comprises a plurality of sub-pixels with wavelength gradients. The readout circuit constructs spectral response distribution by collecting sub-pixel signals to determine the central wavelength and calculates the total photocurrent of the detection unit. And the processor inversely calculates the in-situ temperature of the detection unit based on the central wavelength, and performs closed-loop calibration on the total light current by using the in-situ temperature. Through the spatial spectrum mapping mechanism of the sub-pixel array and the internal self-consistent calibration algorithm, the problem of inaccurate measurement caused by ex-situ temperature compensation in the prior art is solved, and the measurement accuracy and environmental adaptability of the system are improved.

This invention provides a display control method and system for a liquid crystal display (LCD). The method includes: performing nonlinear spectral mapping processing on the input RGB driving values ​​and combining this with the response characteristics of liquid crystal molecules to obtain the theoretical emission spectrum; calculating the reflection spectral components in the multilayer structure based on the ambient light spectrum and superimposing them with the theoretical emission spectrum to obtain the actual observed spectrum; calculating the difference between the actual observed spectrum and the target spectrum, converting it into an RGB correction value through a constraint optimization algorithm to obtain the ambient light compensated RGB driving value; and calculating the actual white point color coordinates and adjusting them to the standard white point position through a progressive white point migration algorithm. This invention can dynamically adjust display parameters according to real-time ambient light conditions, effectively compensate for the influence of ambient light reflection on color, and ensure color temperature consistency and color accuracy through white point correction, significantly improving display quality under different ambient light conditions and enhancing the user's visual experience.

The invention relates to a technique for generating a medical image from a spectral map produced from multispectral raw medical imaging data acquired using an energy-resolved medical imaging technique. A computer-implemented method (100), performed by a computing device (200), comprises receiving (S102) multispectral raw medical imaging data acquired using an energy-resolved medical imaging technique. An analysis scope of the received (S102) multispectral raw medical imaging data is determined (S106). At least one spectral map to be generated from the received (S102) multispectral raw medical imaging data is selected (S108). The selection (S108) is based on the determined (S106) analysis scope. The at least one selected (S108) spectral map is generated (S110).The received (S102) multispectral medical raw imaging data are processed (S112) to generate (S114) at least one medical image based on the at least one generated (S110) spectral map.

This invention relates to the field of automated laser chip heating processing control technology, and in particular to a laser heating rework system. The system includes a spectral mapping module that obtains wavelength drift data by analyzing transient photoluminescence spectra collected by a fluorescence thermometer, and uses this data to identify the coordinates of poorly heated locations to generate a transient thermal state matrix. A tensor calculation module combines the microscopic orientation data of the material's crystal lattice structure to calculate the thermal conductivity coefficient and generate a thermal conductivity tensor matrix. A polarization synthesis module retrieves photon absorption cross-section difference parameters to inversely deduce a physical compensation array and generate a spatial polarization phase map. A polarization modulation device generates a non-uniform vector polarized light field based on this map, driving a laser output device to inject the light field into the coordinates of the poorly heated location to perform targeted heat injection. This invention utilizes the difference in physical absorption rate of photons with different polarization states in the underlying crystal lattice arrangement to correct local thermal distribution anomalies while achieving zero thermal damage overflow in the surrounding area, thus improving the overall processing yield.

The invention discloses a depth non-rigid three-dimensional shape corresponding method, system and device and a medium. The method comprises the steps that a first feature vector matrix and a second feature vector matrix are determined; in the micro-iteration process, based on the current spectral domain mapping matrix, the first eigenvector matrix and the second eigenvector matrix, a symbolized soft mapping operator based on a kernel function and used for describing the corresponding relation between the vertexes is constructed, the symbolized soft mapping operator is re-projected back to the spectral space, and intermediate state spectral mapping estimation is obtained; performing multi-channel filtering processing on the intermediate state spectral mapping estimation to obtain a refined coupling mapping matrix, and taking the refined coupling mapping matrix as a current spectral domain mapping matrix of next iteration until a preset number of iterations is reached to obtain a target coupling mapping matrix; and converting the target coupling mapping matrix into a point-by-point mapping matrix to realize point-by-point correspondence between the source shape and the target shape. According to the invention, the accuracy corresponding to the deep non-rigid three-dimensional shape can be improved.

The invention relates to the technical field of ecological environment monitoring, in particular to an ecological environment monitoring device based on remote sensing images, which comprises a data acquisition and preprocessing module used for acquiring current and historical remote sensing images and meteorological data of a target area and constructing a time sequence data set; the land coverage identification module is used for identifying the land coverage type of the target area; the reference area selection module is used for delimiting a reference area in a preset range; the meteorological-spectral mapping model building module is used for building a mapping function from meteorological data to spectral reflection characteristics; the spectrum anomaly detection and region correction module is used for comparing the difference between the actual spectrum and the expected spectrum output by the model, and performing boundary cutting correction on an abnormal region to obtain a new target region after meteorological influence correction; and the ecological parameter inversion and output module is used for performing inversion and mapping of the ecological parameters. The adaptive capacity to different weather conditions can be improved, and the accuracy of a monitoring result is enhanced.

The invention discloses an intelligent agricultural information monitoring system and method based on big data, and relates to the technical field of agricultural information processing. The intelligent agricultural information monitoring method based on big data comprises the following steps: acquiring soil state time sequence data and crop spectral image time sequence data of a target greenhouse; performing hierarchical evaluation processing on the soil state time sequence data to obtain a soil moisture deficiency evaluation value; based on a pre-trained canopy moisture time sequence response model, performing time sequence spectrum mapping processing on the crop spectral image time sequence data to obtain a crop moisture loss evaluation value; according to the method, irrigation processing is performed on the target greenhouse through the irrigation urgent evaluation value, so that the state of water stress can be captured more comprehensively, water stress aggravation or water resource waste can be effectively avoided, and the irrigation demand evaluation method and the irrigation demand evaluation system have the advantages that the irrigation urgent evaluation value and the soil water shortage evaluation value are input into the pre-constructed irrigation demand evaluation model; crop water supply and demand balance is guaranteed, and the refined level of planting management is improved.

This application discloses a panoramic spectral reconstruction imaging method, comprising: lowering a device with coaxially integrated specific optical components into a borehole; illuminating the borehole wall with a light source; collecting the reflected light panoramically using a conical reflector; encoding the light spectrally through an array of annular gradient filters; and receiving the light with a detector; based on a pre-calibrated spatial-spectral mapping model, processing the detector image to simultaneously reconstruct a panoramic unfolded image and a narrowband image of the borehole wall, thereby generating a spectral image cube containing spatial and spectral information; this invention enables the one-time, in-situ acquisition of a panoramic image of the borehole wall and the continuous spectral curves of each point thereon within the borehole, achieving spectral collaborative perception of rock morphology and mineral composition.

The invention provides a generation method for accelerating a holographic video in 360-degree holographic display based on a rotation motion compensation algorithm of a segmented wave field. The method comprises the following steps: firstly, according to a given three-dimensional object, rotating to an mth reference visual angle along a horizontal direction, and rendering a three-dimensional scene under the visual angle; secondly, the three-dimensional object is divided into a plurality of basic objects in the depth direction (z-axis), each basic object comprises point cloud data with the depth range being L, and the corresponding central plane is located at the position where z = + / -nL; for each basic object, independently calculating wavefront distribution of the basic object on a holographic plane by adopting a traditional fast holographic algorithm to obtain a corresponding basic hologram; overlapping all the basic holograms to generate an mth period reference frame, and taking the mth period reference frame as an mkth frame in the holographic video at the same time; on the basis of the mth period reference frame, within a certain horizontal view angle interval, executing a rotation motion compensation operation based on frequency spectrum mapping on each basic hologram, generating a compensation frame, and performing compensation before and after the mkth frame; and repeating the above operations until all holographic frames are generated in a 360-degree full-view angle range, and finally outputting a holographic video sequence which is high in quality and frame rate and retains depth and motion parallax information. The algorithm has the advantages of high calculation speed, high-quality 360-degree holographic video generation and the like.

The present application belongs to the technical field of three-dimensional reconstruction, and particularly relates to a multi-view hyperspectral three-dimensional reconstruction and spectral mapping method. The present application establishes a unified geometric reference through explicit three-dimensional reconstruction, establishes a strict projection relationship between a space point and a hyperspectral pixel based on camera internal and external parameters, selects a target view angle in combination with a normal vector geometric constraint, and finally realizes accurate, stable and physically credible mapping of hyperspectral data on a three-dimensional point cloud through nearest surface point discrimination and voxel grid constraint screening of target pixel points. The present application can strengthen the constraint relationship between a space point and a real surface position, inhibit mixed pixel interference and same-pixel multi-depth ambiguity, and further ensure the physical authenticity of the spectral mapping result.