113 results about "Single band" patented technology

The invention relates to the technical field of water ecological environment remote sensing monitoring, and provides a water body turbidity remote sensing inversion method and system, a medium, equipment and a program. The water body turbidity remote sensing inversion method comprises the following steps: converting actually measured hyperspectral remote sensing reflectivity into satellite equivalent remote sensing reflectivity, and combining each wave band of the satellite equivalent remote sensing reflectivity to obtain a wave band combination; calculating a Pearson correlation coefficient between each single wave band and each wave band combination and the turbidity data, and screening the wave band combination meeting a set threshold value; encoding the wave band combination and the water environment data meeting a set threshold value, respectively obtaining wave band features, time features and water body type features, and constructing feature vectors; and by taking the feature vector as input and the turbidity data as output, constructing an objective function, and training a turbidity remote sensing inversion model, so as to minimize the objective function and select an optimal hyper-parameter combination in each round of iteration. The method can improve the prediction precision and reliability.

The invention provides a method for generating multi-dimensional landform vector data based on remote sensing image semantic segmentation, and belongs to the technical field of remote sensing image ground object recognition and artificial intelligence, and the method comprises the steps: training a landform recognition deep learning model based on a remote sensing image, adjusting a pre-training weight to optimize an image encoder, and generating a classification result; the landform recognition deep learning model comprises an encoder formed by a multi-layer convolutional network and a decoder of an up-sampling and feature fusion architecture; extracting a single-band label corresponding to each landform type from the classification result, and generating a binary raster image with the single-band labels; and converting the binary raster image with the single-band label into a vector diagram, and combining the vector diagram with the elevation information to generate multi-dimensional geographic data.

The invention provides a large-scale insect and bird migratory flight monitoring system based on a weather radar net, and the system employs a data collection module to obtain S, C and X wave band weather radar monitoring data of the national weather radar net, and a quality control module carries out the quality control of the radar-based data in the monitoring data, and further provides the radar-based data to an echo recognition module to construct recognition features. A classification recognition result is obtained by adopting a recognition model corresponding to the wave band; the inversion quantification module inverts the insect and bird density, the insect and bird speed and the vertical distribution of the movement direction based on the classified and identified insect and bird echoes to obtain an inversion quantification result; and the classification identification result and the inversion quantification result of the single wave band form a local monitoring result. And the visualization module displays a single-band local monitoring result or a multi-band fusion monitoring result. According to the invention, multi-band data can be collected, monitoring results are fused, real-time and efficient monitoring of migration of insects and birds is realized, and the monitoring range is expanded.

Systems and methods for a satellite communication system include identifying highly active terminals (HUTs) in a spot beam of a satellite; determining a first ratio of single-band HUTs that operate in a first frequency band only to multi-band HUTs that operate in the first frequency band and a second frequency band; and determining a second ratio of outroutes for the first frequency band to outroutes for the second frequency band. When the first ratio is less than the second ratio, a first step of balancing the single-band HUTs across the outroutes for the first frequency band is performed, and then the multi-band HUTs are balanced across both the outroutes for the first frequency band and the outroutes for the second frequency band. When the first ratio is greater than the second ratio, the single-band HUTs and the multi-band HUTs are allocated based on at least one weight factor.

The invention provides a security check image processing method, a security check image processing device and electronic equipment. According to the embodiment of the invention, for each single strip, whether the existing air template strip is updated or not is judged based on the single strip, so that the existing air template strip is updated in time, dirty images caused by phenomena such as signal fluctuation and the like are effectively removed in time, the image quality of security inspection equipment is effectively improved, the subsequent material identification and image effect are improved, and the security inspection efficiency is improved. And the problem of partial signal fluctuation caused by hardware reasons is avoided.

The invention relates to the technical field of electrocatalytic oxidation, and provides a fluorescence detection condition control system and method, and the system comprises a strategy library which uses XGBoost to train strategy algorithm models of different water sample water qualities and initial wave bands; the initialization module is used for calling the strategy library to load the water quality type according to a detection environment and setting initial state water sample condition matching; the pre-excitation module is used for lightening the single-band LEDs one by one to obtain an initial fluorescence response value; the self-adaptive detection module is used for calling a strategy algorithm model and generating a wave band combination and excitation intensity configuration according to the initial fluorescence response value; the temperature compensation module monitors the key temperature in real time through a temperature sensor and carries out compensation correction according to a fluorescence error caused by temperature drift; and the analysis report module outputs a Cu < 2 + > concentration detection result. According to the method, the water quality preset strategy library and the temperature compensation mechanism are combined, Cu < 2 + > fluorescence detection under the complex matrix background is achieved, and the accuracy and environmental adaptability of low-concentration heavy metal detection are remarkably improved.

The invention relates to the technical field of image data processing, in particular to a multiband hyperspectral image fusion method for predicting surface moisture of coal, which comprises the following steps: acquiring visible light and near-infrared images and calculating reflection difference frequency, constructing a grade layer and then executing region mapping and brightness superposition, extracting pixel features and sorting and dividing threshold regions, and identifying boundary change and generating a graph block, and finally reconstructing a moisture distribution graph surface according to a gray scale. According to the method, pixel-level distinguishing is carried out through reflection differences of visible light and near-infrared images, hierarchical layers are constructed based on multi-band reflection changes, layer stacking and classification are completed in combination with characteristics such as brightness, edge changes and space concentration ratio, moisture region boundaries are delimited, and moisture level maps are generated according to gray scale sorting. Fine grading and boundary positioning of the moisture content are realized, the prediction precision is improved, the problems of single-band processing limitation and fusion information loss are solved, and the identification capability of the moisture area in the complex coal surface environment is enhanced.

The invention provides a hyperspectral tailing pond dry beach line intelligent analysis method, and belongs to the technical field of image processing. Through multiband characteristics of a hyperspectral remote sensing image, principal component clustering analysis and characteristic wavelength selection are combined, so that the problems of insufficient spectral information of the image after dimension reduction and serious data redundancy caused by use of a full-band image are solved; single-band images corresponding to different characteristic bands emphasize different target information in the original image, and different combinations are beneficial to fully exerting the advantages of different target information of each band, so that a water area and a dry beach are distinguished more accurately; a double-branch network model is adopted, the difference between spectral dimensions and spatial dimensions is synchronously analyzed, spectral features and spatial information are fused, and the two branches have certain complementarity, so that rich spatial spectrum information of an input hyperspectral remote sensing image can be fully excavated, a dry beach line can be identified more accurately and effectively, the length of the dry beach is calculated, manual intervention is reduced, and the working efficiency is improved. The treatment efficiency is improved.

The embodiment of the invention provides a remote sensing image atmospheric correction method and system for an ocean near-shore scene, and relates to the technical field of ocean remote sensing image atmospheric correction. According to the method, after remote sensing data is obtained, solar flare correction is executed by extracting a target mask and using a secondary simulation model of a satellite signal in a solar spectrum. And then a multi-band darkness index is calculated, and an optimal aerosol optical thickness value is inverted through a radiation transmission model. And calculating the atmospheric correction coefficient of each wave band according to the optimal aerosol optical thickness value so as to generate correction result data. According to the method, on the basis of robust flare correction of the SWIR proxy, scene-adaptive flare proxy is constructed by utilizing water body reflection and path radiation physical characteristics of the SWIR under a deepwater condition, and flare deduction is realized. Inversion is carried out through multiband combined darkness indexes, and the spectral characteristics of the deep water body reflected in the visible spectrum are utilized, so that single-band random noise is smoothed, and the accuracy of an AOT estimation result is improved.

The invention discloses a soybean grain single-band image classification method and system based on deep learning, and belongs to the technical field of hyperspectral application. The problem that in the hyperspectral data screening process, due to the fact that a hyperspectral image contains a large number of wave bands, once image noise is large or missing values exist, the classification accuracy class is low is solved. The method comprises the following steps: acquiring a soybean grain image and spectral data; carrying out black and white correction on the collected hyperspectral image to obtain a processed soybean grain image; selecting an optimal wave band according to SPA and KNN algorithms; carrying out image enhancement and threshold segmentation on the original data set and the new data set, and separating a soybean seed sample from a background by adopting a morphological method; the method comprises the following steps: training through an SENet-ResNet34-DCN model, and extracting a plurality of features of a test sample; and outputting a classification result. The method is suitable for soybean seed authenticity identification and quality analysis scenes.

Method for the use and system of an adjustable, multiple routine resistance training device with a single, continuous length of elastic, flexible and / or stretchable tubing, tape and / or strapping formed in a continuous loop by securely connecting the two free ends of the length of tubing, tape and / or strapping, thereby forming a continuous loop training device having at least three scalable calibrated sections delimited by a plurality of adjustable locking / releasing mechanisms facilitating the scalable calibrated sections, thereby forming a chain of loops with the plurality of adjustable locking / releasing mechanisms strategically spaced along the length of the continuous loop device formed.

Single band and multiband wireless antennas are an important element of wireless systems. Competing tradeoffs of overall footprint, performance aspects such as impedance matching and cost require not only consideration but become significant when multiple antenna elements are employed within a single antenna such as to obtain circular polarization transmit and / or receive. Accordingly, it would be beneficial to provide designers of a wide range of electrical devices and systems with compact single or multiple frequency band antennas which, in addition to providing the controlled radiation pattern and circular polarization purity (where required) are impedance matched without substantially increasing the footprint of the antenna and / or the complexity of the microwave / RF circuit interfaced to them, whilst supporting multiple signals to / from multiple antenna elements in antennas employing them. Solutions present achieve this through provisioning one or more capacitive series reactances discretely or in combination with one or more shunt capacitive reactances.

The invention relates to the technical field of image processing, in particular to a hyperspectral image defogging method, which comprises the following steps: acquiring a hyperspectral image, and decomposing the hyperspectral image into a plurality of single-band images; segmenting any single-band image to obtain a single-band low-frequency image, which comprises the following steps of: converting the single-band image from a spatial domain to a frequency domain to obtain a single-band spectrogram; obtaining two annular regions in the spectrogram, calculating an energy gradient between the annular regions, and determining a segmentation threshold according to the energy gradient; segmenting the single-band image based on the segmentation threshold to obtain a single-band low-frequency image; processing the single-band low-frequency image by using an atmospheric scattering model to obtain a single-band defogged image; and combining the plurality of single-band defogged images to obtain a defogged hyperspectral image. Through the segmentation method based on the spectral characteristics, the spectral information of the image can be fully utilized, high-frequency noise and details are removed, effective information is reserved, and the defogging effect is improved.

The invention discloses a water quality inversion method based on multi-strategy improved sparrow search optimization machine learning. The method comprises the following steps: firstly, collecting the reflectivity of a water sample by using a spectrograph, and converting the collected reflectivity into an equivalent albedo of a corresponding wave band of a Sentinel-2 satellite through a spectral response function; collecting a water sample on site, and measuring the TSM concentration and Chla concentration; the obtained equivalent albedo is constructed into combined features in a single-band and multi-band mode, and the first four combined features of the correlation are selected as feature input; inputting the selected combined features into a plurality of machine learning models for contrastive analysis to invert the performance of TSM and Chla concentration, and determining an optimal machine learning model; then constructing a multi-strategy optimized sparrow search algorithm; and performing water quality inversion on the Sentinel-2 image by using the optimal machine learning model obtained by optimization of the obtained multi-strategy optimized sparrow search algorithm. According to the invention, the model inversion precision is improved.

The present application belongs to the technical field of image processing, and particularly relates to a multi-band image cascade fusion method. The present application adopts a brightness modulation method to normalize the gray scale or brightness component of one of the single-band images to be fused, and to multiply the brightness component of the other single-band image in the HSV color space format, so as to complete brightness fusion. Then, the brightness cascade fusion of the third image or more images is performed, so that the multi-band fusion image retains the brightness information of different band images, and reflects the significant features of different band images. Furthermore, the color information of the restored color visible light image or the colorization of the black-and-white visible light image / infrared thermal image makes the feature details of the fusion image more clear and easy to identify. The present application has low computational complexity and is suitable for real-time processing of embedded systems.

The invention discloses a full-wave-band dynamic sunlight player with a three-stage coaxial soft light structure, and relates to the technical field of healthy lighting and high-precision simulation light sources. The core three-stage coaxial soft light structure is composed of a high-atomization concave soft light cavity, a convex high-reflection soft light structure and a full-coating high-transmittance soft light shell which are coaxial, and glare-free and high-uniformity full-wave-band light emitting is achieved. The equipment is provided with a full-wave band narrow-band combined lamp group covering weak ultraviolet rays to near infrared rays, so that a continuous sunlight spectrum is formed; single-band single-line independent driving is adopted, a pure hardware simulation gradual change control unit is matched, and non-stroboscopic smooth gradual change and accurate regulation and control are achieved. The equipment is provided with a local time service module and a storage medium, and a networking module can be selected to be matched with a factory spectrum calibration method to guarantee output consistency. The system can truly restore the natural sunlight spectrum, adapts to the biological rhythm, is suitable for medical treatment, laboratories, space stations and other scenes, and has the advantages of being high in reliability, continuous in spectrum, strong in soft light effect, high in biological friendliness and the like.

The invention provides a multiband intelligent radiation temperature control device, which realizes multiband intelligent radiation temperature control through innovative design, and is characterized in that a first micro-unit and a second micro-unit with different characteristic lengths are adopted in an optical functional layer, and according to an electromagnetic resonance theory, the first micro-unit with the long characteristic length is matched with a far infrared band wavelength, and the second micro-unit with the long characteristic length is matched with a far infrared band wavelength; the far infrared radiance can be modulated along with the change of the external temperature, and the second micro-unit with the short characteristic length is adaptive to a middle infrared band to realize corresponding radiance modulation; meanwhile, large-area temperature control uniformity is guaranteed through array arrangement of the modulation areas, and environment adaptability is enhanced through combination of the protection layer and the optical function layer. Compared with a traditional single-band temperature control device, the design breaks through band limitation, achieves mid-infrared and far-infrared dual-band cooperative regulation and control, can respond to environment temperature changes in real time, improves the temperature control precision and dynamic performance, and effectively solves the problems that in the prior art, temperature control is not accurate in a complex environment, and the application scene is single.

The application provides a method for searching exposure time and a quantum efficiency measuring system, comprising: a data processing module configured to configure fixed parameters of an image acquisition module and wavelengths of a wavelength configuration device; the image acquisition module is controlled to determine a candidate exposure time set according to a search step and an initial value of exposure time; after the wavelengths of the wavelength configuration device are configured, single-band light configured by the wavelength configuration device is received through an optical fiber bundle; a target exposure time is selected from the candidate exposure time set multiple times; images are captured multiple times under the environment of the wavelength of the wavelength configuration device; if the images do not occur light cutoff and satisfy a preset image saturation constraint condition and an image linearity constraint condition, the target exposure time is taken as a set of exposure times corresponding to the current wavelength; and a set of exposure times corresponding to the wavelength of each wavelength configuration device is searched until a set of exposure times corresponding to the wavelength of each wavelength configuration device is searched. The method is used to accurately search for exposure time meeting the linearity requirement.

This invention relates to the field of optical imaging technology, specifically providing an optical radar co-aperture off-axis imaging system, comprising: an off-axis mirror assembly, a frequency-splitting device, a radar transceiver system, and an optical imaging system. The frequency-splitting device is disposed in the rear optical path of the secondary mirror and is used to reflect light waves and transmit microwaves. The frequency-splitting device includes a frequency-selective surface, which comprises an FSS pattern layer and a bias line layer. The FSS pattern layer includes periodically arranged FSS units. Nonlinear capacitors are electrically connected to the FSS units. The bias line layer applies a voltage to the nonlinear capacitors according to the received microwave band. By changing the voltage applied to the nonlinear capacitors, the resonant frequency of the FSS units is tuned, thereby changing the microwave passband frequency of the frequency-splitting device. This invention not only achieves a reflective wave-transmitting microwave design but also solves the problem that transmitting only a single band of microwaves in microwave-transmitting and light-reflecting methods is difficult to adapt to different task requirements.

A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A device worn on the subject's head during sleep can collect the neurovascular data by measuring transcranial impedance. The device can be in the form of a single band, multiple bands, or a head cap worn on the subject's head. Electrodes positioned along the inner surface of the wearable device contact the subject's head and measure the transcranial impedance. Transcranial impedance measurements are collected from multiple locations on the subject's head and across multiple frequencies to obtain a more complete assessment of glymphatic flow.

Systems and methods for reducing loading in antenna switch module multiplexing are disclosed. In one aspect, a radio frequency front end includes a plurality of filters configured to filter radio frequency signals, the filters including a first filter configured for single band wireless communication and two second filters configured for multiplexing wireless communication. The radio frequency front end further includes an antenna switch module including a first switch configured to connect an antenna to the first filter for the single band wireless communication, and two second switches configured to connect the antenna to the second filters for the multiplexing wireless communication, the second switches having a lower on-state resistance than the first switch.

A color gamut conversion module, a conversion method thereof, and a projection device are provided. The color gamut conversion module includes a wavelength conversion element and a light filtering element. The wavelength conversion element includes at least two wavelength conversion regions, and the light filtering element includes at least one filtering region. Each filtering region is a single-band light filtering region or a multi-band light filtering region. In a visible light transmittance spectrum, the single-band light filtering region includes a band-pass wave band, and the multi-band light filtering region includes a plurality of first band-pass wave bands and a plurality of first cut-off wave bands. In a first color gamut mode, the wavelength conversion element and the light filtering element rotate at a first relative rate. In a second color gamut mode, the wavelength conversion element and the light filtering element rotate at a second relative rate.

A sealing machine for sealing packages of products wrapped in films provided with at least one heat-sealable part, the sealing machine comprising - a feed channel for the products wrapped in films; - on at least one side of the feed channel, at least two sealing bands, specifically a lower sealing band and an upper sealing band arranged at a greater height than the lower sealing band, both extending parallel to the feeding direction of the products in the feed channel, - for each sealing band, at least one resistor element adapted to heat the sealing band, - a control unit operationally connected to the resistor elements, adapted to enable power supply of the resistor elements of the sealing bands, so as to heat a single band or several bands simultaneously depending on the height of the sealing face to be obtained.

Multi-band remotely configurable tuning probes for slide screw impedance tuners allow instantaneous larger frequency coverage beyond the capacity of existing tuning probes using the single horizontal and vertical axis mechanism of a prior art single probe, single band tuner. This is done by carving multiple slugs of different length and frequency coverage as segments of a disc-shaped revolving slab, which rotates inside the legs of a captive unit and locks at distinct angles. The captive unit is attached to the vertical control mechanism of the tuner and rotation is ensured using multiple traverse lateral studs on the disc unit and a set of vertical studs on the slabline close to the idle port of the tuner. An automated procedure ensures remote switching between tuning slugs. Calibration and tuning is as in prior art single probe tuners.

In some examples, the disclosure describes an electronic device with a processing resource and a memory resource storing computer-readable instructions executable by the processing resource to determine a wireless metric associated with a first wireless signal path utilizing concurrent dual wireless bands between an access point and the electronic device and alter the first wireless signal path to a second wireless signal path that utilizes a single band between the access point and the electronic device.

This invention relates to the field of electrocatalytic oxidation technology, and provides a fluorescence detection condition control system and method, comprising: a strategy library, which uses XGBoost to train strategy algorithm models for different water sample qualities and initial wavelength bands; an initialization module, which loads water quality types from the strategy library according to the detection environment and sets initial state water sample conditions; a pre-excitation module, which illuminates single-band LEDs one by one to obtain initial fluorescence response values; an adaptive detection module, which calls the strategy algorithm model and generates wavelength combinations and excitation intensity configurations based on the initial fluorescence response values; a temperature compensation module, which monitors key temperatures in real time using a temperature sensor and compensates for fluorescence errors caused by temperature drift; and an analysis report module, which outputs Cu... 2+ Concentration detection results. This invention combines a water quality preset strategy library and a temperature compensation mechanism to achieve Cu concentration detection in complex matrix environments. 2+ Fluorescence detection significantly improves the accuracy and environmental adaptability of detecting low-concentration heavy metals.

Triple band remotely configurable tuning probes for slide screw impedance tuners allow instantaneous larger frequency coverage beyond the capacity of existing tuning probes using the single horizontal and vertical axis mechanism of a prior art single probe, single band tuner. This is done by combining two types of tuning slug, a core slug and a saddle slug into a configurable tuning probe assembly mounted in the same mobile tuner carriage and controlled using the same single vertical axis mechanism with the help of two ridges on the core slug and a permanently mounted slug control fork. To avoid spurious resonance phenomena the tuning slugs are controlled, driven, and locked vertically sliding on each other, and guided appropriately allowing smooth, uninhibited vertical movement of the metallic bodies.

The present invention belongs to the technical field of space target detection, and discloses a multi-band limb detection method for dim space targets, including S101, using a multi-band infrared detection system for space target detection to image the limb or deep space area; S102, initializing the system integration time according to the angles between the detection system and the sun and the earth; S103, obtaining the image data collected by the multi-band infrared detection system; S104, performing target detection on the multi-band images; S105, performing registration transformation on the multi-band detection results; S106, associating and matching the targets after multi-band registration, and outputting the calculation result of the target feature information; S107, optimizing the integration time of the detection system according to the output target information and continuously observing the target. This method solves the problems that the existing single-band detection system has limited target information acquisition, weak anti-interference ability, and weak detection ability for dim targets.

The invention relates to a water body remote sensing image solar flare identification method based on multispectral features and XGBoost, and the method comprises the steps: extracting a water body from a remote sensing image, screening out a region affected by solar flare and a normal water body region, marking the regions, and constructing a corresponding label data set; constructing an input feature data set by taking the atmospheric top reflection data of all wavebands of samples in the label data set and the spectral index data of the multi-waveband combination as input features; constructing a training set in combination with the input feature data set and the label data set, performing model training based on an XGBoost model, and constructing a solar flare recognition model; and carrying out solar flare identification on the to-be-identified water body remote sensing image based on the solar flare identification model. By adopting the method disclosed by the invention, the limitation of solar flare identification in a complex environment by a traditional single-band threshold method can be overcome, the identification precision and efficiency are improved, and a reliable technical means is provided for solar flare identification of large-area long-time-sequence remote sensing data.

This invention discloses a testing device and method for testing crystal uniformity using photoelectric properties. The method includes: pre-setting multiple different target detection bands; scanning the target detection area of ​​the crystal under test using excitation light in each preset target detection band to obtain a fluorescence signal matrix; preprocessing the fluorescence signal matrix in each target detection band to obtain a fluorescence intensity distribution matrix; extracting single-band uniformity parameters from the fluorescence intensity distribution matrix; and fusing the single-band uniformity parameters from all target detection bands to obtain crystal uniformity parameters as the test result. This invention achieves quantitative output of both global and local uniformity results for crystal uniformity.