67 results about "Spectral ratio" patented technology

In a first exemplary embodiment of the present invention, an automated, computerized method is provided for determining an illumination boundary in an image. The method comprises the steps of performing dynamic sampling in preselected local areas of the image to determine spectral ratio information for the image at each of the preselected local areas, and utilizing the spectral ratio information to identify an illumination boundary.

A pulsed radar system uses simultaneous multiple frequency spectral response of life form targets to classify target type and movements. In particular classifying movements from human and animals such as walking and breathing.

Currently radar systems attempt to image targets with ultra high bandwidth (fine range resolution) and a large or synthetic aperture (SAR). These techniques slice up the scene into a three-dimensional radar picture. The radar picture data is again processed with target classifiers. Currently these classical techniques are beyond state-of-the-art at long standoff ranges.

This new radar system will use multiple sparse lower bandwidth frequencies to provide life form classification imaging based on the spectral response. The lower bandwidth dramatically improves the data quality while the spectral ratios and correlations will resolve sparse frequency ambiguities for a new type of imaging radar.

Described herein is a method and system for classifying rock types in a rock body. The method comprises the steps of obtaining spectral data from a spectral measurement (202) of a surface region of the rock body and then determining a first spectral ratio between two wavelength bands of the spectral data. From the first spectral ratio it can be assessed (204) whether the measurement is a high-angle measurement, and if the measurement is not a high-angle measurement then a further spectral ratio between two further wavelength bands of the spectral data is determined (208). The further spectral ratio is then compared (210) with a corresponding diagnostic criterion to assess whether the surface region comprises a first rock type associated with the further spectral ratio and diagnostic criterion.

The invention relates to a global optimization method for surface wave dispersion and body wave spectral ratio joint inversion shallow velocity. The method comprises the following steps that (1), initial parameters of the inversion are given to construct an unknown vector population represented by binary coding; (2), theoretical calculation methods of a surface wave dispersion curve and a body wave HVSR curve are determined; (3), an object function simultaneously fitting the surface wave dispersion curve and the body wave HVSR curve is established; (4), global optimization calculation of genetic simulated annealing is conducted to obtain a globally optimal solution; and (5), the shallow velocity structure can be obtained based on the globally optimal solution. Advantages of genetic and simulated annealing methods are combined, efficiency and accuracy of the inversion can be improved, application in urban areas with the survey lines being difficult to unfold can be achieved, and application in background noise, seismic measuring or strong earthquake records and other data sources can be achieved.

The invention discloses a band ratio method based maize embryo segmentation method in a high-spectral reflection image. The high-spectral image of a maize seed is collected with the embryo surface of the seed upwards; multiple pixels and spectrums thereof are extracted from the endosperm and embryo and normalized; the spectral ratio of two random wave bands is calculated and serves as the band ratio, and the optimal band ratio is selected; a band subset is selected, variance of all pixels in the band subset is calculated, a seed binary image is obtained via threshold segmentation, and a background removed high-spectral image of the maize seed is obtained via mask operation; and a gray scale image of the background removed high-spectral image of the maize seed under the optimal band ratio is calculated via the high-spectral image, the gray scale image is segmented in a region growing method to obtain an embryo binary image, the embryo binary image is processed to obtain a seed embryo binary image, and the high-spectral image of the maize seed embryo is obtained via mask operation. The method can be used to segment the maize seed embryo in the visible near-infrared high-spectral image effectively, the segmentation effect is good, and the practicality is higher.

The embodiment of the invention discloses a formation quality factor determination method, device and system. The method comprises the steps that spectral analysis is performed on the intrinsic attenuation seismic data so as to acquire the seismic wave amplitude spectrum; the amplitude spectrum ratio log function is calculated according to the extracted seismic wave amplitude spectrum before and after attenuation; the generalized spectral ratio function is constructed according to the amplitude spectrum ratio log function, including the steps that the amplitude spectrum ratio log function is discretized, and a weight factor is added to the discretized amplitude spectrum ratio log function so as to acquire the generalized spectral ratio function, wherein the weight factor includes the discretized seismic wave amplitude spectrum; and the formation quality factor is determined according to the generalized spectral ratio function. With application of the formation quality factor determination method, device and system, the accuracy of formation quality factor determination can be enhanced.

The invention provides a machine learning based seismic wave shocking property identification method, and relates to the technical field of machine learning. The method comprises seismic waveform processing, characteristic value extraction, model training and model application. Distance between a seismic source and a station is calculated, epicenter distances are screened, three-component seismicwaveform data after epicenter distance screening is read, a long and short time window algorithm STA/LTA and an AIC method are used to accurately find an initial position of seismic waves, and furtherthe length of seismic data is intercepted. The time domain and frequency domain of seismic waveform are analyzed to extract the complexity, spectral ratio and waveform complexity/spectral ratio as input of an artificial neural network model. An artificial neural network model which includes two hidden layers and can identify a dichotomy problem is trained, and output represents the probability that the waveform belongs to certain type. The trained model can accurately and efficiently determine the type of seismic waveforms.

The invention discloses a method for estimating a stratum equivalent quality factor based on synchronous extrusion wavelet transform, and the method is a quality factor extraction method based on a Qcompensation principle. By using synchronous extrusion wavelet transform with extremely high time-frequency resolution and energy aggregation to transform seismic data of adjacent horizons (post-stackseismic data) or adjacent seismic records (vertical seismic sections) to a time-frequency domain first, then inverse Q filtering is carried out in a preset certain Q value range, and by calculating amean square error between a result after time-frequency domain Q compensation and a reference waveform frequency spectrum, a corresponding quality factor when the minimum mean square error is satisfied is searched as the best equivalent quality factor, thereby realizing optimal estimation of the quality factor. The method for estimating a stratum equivalent quality factor based on synchronous extrusion wavelet transform avoids the difficulty of frequency band selection for estimating a quality factor in a conventional spectral ratio method, the hypothesis that a seismic source frequency spectrum is a Gaussian spectrum in a centroid frequency method or the like does not exist, methods for quality factor estimation are expanded, and the estimation accuracy of the quality factor is improved.

A temperature transducer of fibre - optical evanescent wave in high sensitivity consists of light source, detector and signal processing unit as detector probe is prepared by pyrometric cone type of fibre - optical coupler with one coupling fibre - optical pyrometric cone section connected to light source and one detector, another section to the other detector for varying output spectral ratio of coupler to obtain data of temperature change through conversion. The pyrometric cone type of fibre - optical coupler is prepared by melting two optical fibres and then drawing molten material to be cone form.

A full spectrum double CMOS linear imaging sensor checking equipment and testing method relates to optics imaging lens, three layers spectral prism, double high speed linear CMOS imaging sensor. Optics lens images object; right angle spectral prism filtrates infrared spectroscopic; separate out two balanced spectrums according to the prism spectral ratio T/R; photoelectric diversion respectively carries by two CMOS sensors; gives goal brightness signal L and color saturation signal S; completes the distinguish of color changing of goal. It takes place the strong and leak single test to blue spectrum (B) signal in common selecting color machine by color saturation signal S test and it accords to the identify habit to color for the vision to people and enhances the identify ability of the equipment.

The invention discloses a spectral ratio self-adaption control spatial light 90 degrees mixer, belongs to the technical field of wireless communication, and aims to solve the problems that the fixation of the existing spatial light 90 degrees mixer spectral ratio causes that the communication reception sensitivity is low, coherent communication flexibility is poor and the like. The mixer comprises a first 1/4 wave plate, a rotatable 1/2 wave plate, a Wollaston prism, a collimator, a second 1/4 wave plate, a first mirror, a second mirror, a first 1/2 wave plate, a second 1/2 wave plate, a first polarization beam prism, a third 1/2 wave plate, a fourth 1/2 wave plate, a second polarization beam prism, a first convergence lens, a second convergence lens, a third convergence lens, a fourth convergence lens, a first balanced detector, a second balanced detector, a multiplier, a communication signal processing module, an optical phase lock loop, an intrinsic light source, a driver and a controller. The spectral ratio self-adaption control spatial light 90 degrees mixer has the advantages of improving the communication sensitivity; reducing the bit error rate; increasing the phase lock probability, and reducing the phase lock time.

There is provided a sound processing apparatus for processing received sounds. A plurality of sound receiving units which are included in the apparatus output individually a sound signal corresponding to a received sound, then the sound signals in a time domain are converted into respective converted signal in a frequency domain, and a spectral ratio between the two converted signals is calculated for driving a phase correction value which corrects a phase of the sound signal.

The invention discloses an LED light source and an LED lamp. The LED lamp comprises an LED light source; the LED light source comprises a substrate and LED lamp beads arranged on the substrate; the substrate is circular; a circuit is arranged on the reverse side of the substrate and used for communicating the LED lamp beads; 16 positions are arranged on the substrate and used for sticking the LED lamp beads; the LED lamp beads are divided into two types, namely white LED lamp beads and red LED lamp beads; the 16 positions on the substrate are divided into 4 groups; 3 white LED lamp beads and 1 red LED lamp bead are arranged in each group of positions, and 1 red LED lamp bead is pasted among 3 white LED lamp beads; the white LED lamp beads and the red LED lamp beads are used together, the proportion of each color in the traditional white light spectrum is changed, and importantly, the red spectral ratio is increased, and therefore, the color-rendering index can be increased to be greater than 90 and the application range of white light illumination can be expanded.

In a first exemplary embodiment of the present invention, an automated, computerized method for manipulating an image is provided. The method of the present invention comprises the steps of selecting matched shadow/lit pairs of image portions from each of separate, different materials depicted in the image, utilizing the selected matched pairs to determine spectral ratio information for the image, calculating a correction term as a function of the spectral ratio information and utilizing the correction term to manipulate the image, to remove effects, such as, for example, path radiance.

A laser device is provided for generating an optical wave at a laser frequency, including (i) a semiconductor element having a gain region with quantum wells, the gain region being located between a first mirror and an exit region defining an optical microcavity, (ii) a second mirror distinct from the semiconductor element and arranged so as to form with the first mirror an external optical cavity including the gain region, (iii) a pump for pumping the gain region so as to generate the optical wave, wherein the optical microcavity with the gain region and the external optical cavity are arranged so that a spectral ratio between the Half Width Half Maximum (HWHM) spectral bandwidth of the modal gain and a free spectral range of the external cavity in the range of 2 to 50.

The invention discloses an earthquake motion rocking component acquisition method. According to the method, a principal in which the Fourier amplitude spectrum of earthquake rocking angular displacement is similar to that of the ground vertical speed is introduced to be taken as the constraint condition of threshold selection of an improved spectral ratio method to further improve and optimize thespectral ratio method. The method has the advantages that the proportion coefficient between displacement potential functions of a P wave and an SV wave are determined by using the optimized and improved spectral ratio method according to a derivative formula of an elastic wave theory, and the earthquake rocking component containing a full-frequency component is finally obtained using the derivative formula of the elastic wave theory; the advantages of two kinds of methods for acquiring the earthquake rocking components are effectively combined to overcome the detects of each method, and therefore the effective acquisition of the earthquake rocking component is achieved.

A method of point source target detection for multispectral imaging is disclosed. In one embodiment, a background source spectral ratio is determined using at least one radiant source, such as baseline intensities, camera optics sensitivity properties and atmospheric transmission properties. Further, a spectral difference is computed for each pixel in an incoming frame by applying the background source spectral ratio to a spectral band-specific radiant intensity value of each pixel. Furthermore, offset biasing in the incoming frame is removed by applying spatial median filtering to each computed spectral difference in the incoming frame.

The invention is a non-destructive detection method based on a micro-motion three-component spectral ratio VHSR and application. The method includes the following steps: S1, collecting a surface micro-vibration signal of a two-dimensional array; S2, calculating VHSR curves of data collected by all three-component detectors; S3, processing the VHSR curves of all measurement points by a self-developed MATLAB program to form two-dimensional VHSR curve contour maps or 3D slice maps; and S4, deducing and explaining an abnormal target body based on the abnormal features of the two-dimensional VHSR curve contour maps or 3D slice maps. The method is applied to detection of underground obstacles or bad geology impacting on engineering construction, such as pile foundations, caps, pipelines, artificial rockfills, hollows, and weak interlayers, within the shallow surface or overburden depth range in urban engineering construction. Therefore, the distribution range of underground obstacles and unfavorable geology can be checked accurately; the potential risks in the urban engineering construction like the shield and pipe jacking can be discovered in advance; and the major construction accidents can be avoided. The method has the great significance.

The invention discloses an EDFA full-automatic test method and system. The system comprises an automatic test device, a test condition template connected with the automatic test device, and a test report; the automatic test device comprises a light path test device and a console server connected with the light path test device; and the light path test device comprises a light source subsystem, a first variable optical attenuator, a first 50/50-spectral-ratio optical coupler, a first 1*3 optical switch, a first optical power meter, a first 1*2 optical switch, a second variable optical attenuator, a second 1*2 optical switch, a second 1*3 optical switch, a second 50/50-spectral-ratio optical coupler, a spectrograph and a second optical power meter. Optical signal adjustment, light path switching, optical power adjustment, data acquisition and analysis judgement processing are automatically realized in a test process; and thus, automatic testing of characteristic performances, such as EDFA gain, noise indexes, EDFA calibration precision, alarm of EDFA products and pump closing, can be realized.

The invention provides a calculating method and device of a stratum quality factor. The method comprises the following steps of according to seismic data, calculating a first amplitude spectrum corresponding to a first moment and a second amplitude spectrum corresponding to a second moment; carrying out low pass filtering processing on the first amplitude spectrum and the second amplitude spectrum, and acquiring the first estimation value and the second estimation value of corresponding seismic wavelet amplitude spectrums respectively; and according to the first estimation value and the secondestimation value, using a spectral ratio method to calculate the stratum quality factor. In each embodiment of the invention, tedious parameter settings and complex calculating processes during the process of estimating the quality factor by using the spectral ratio method in the prior art are reduced; the accuracy of a stratum quality factor calculating result is increased; the automation of stratum quality factor calculating is realized; manpower is saved; the interference of a human factor to an estimation result is reduced; and the method and the device are high-efficient and practical.

The invention provides a surface seismic wave quality factor extraction method and device. The method comprises the following steps of acquiring WalkawayVSP data of each measurement point in a to-be-measured area; based on a spectral ratio method, calculating the value of a surface seismic wave quality factor of each measuring point according to the WalkawayVSP data of each measuring point; and establishing a surface seismic wave quality factor field of the to-be-measured area according to the value of the surface seismic wave quality factor of each measuring point and the surface thickness ofeach measuring point. According to the method, when the value of the surface seismic wave quality factor is solved, the WalkawayVSP technology is applied, a seismic processing compensation problem caused by seismic wave absorption and attenuation due to near-surface low and deceleration zones is solved, and therefore the surface seismic wave quality factor which can be directly used for ground seismic processing is obtained; the device is simple in structure, easy to implement, high in reliability and beneficial to subsequent technical improvement of seismic wave accurate imaging, resolutionimprovement and the like.