36 results about "Band ratio" patented technology

Disclosed herein is a method and apparatus for monitoring, identifying and determining the breathing cycle of an individual from processed acoustic signal waveform data. The breathing sounds of an individual are recorded using a microphone and digitized such that the breathing sounds may be plotted. The data is segmented and transformed to form a plurality of segments representative of a frequency spectrum. The frequency spectrum data is transformed so as to produce magnitude bins and the sum of lower magnitude bins and the sum of higher magnitude bins are determined in a sampling of segments. A Bands Ratio is determined from the sum of lower magnitude bins and the sum of higher magnitude bins in the sampling of segments. A first bands ratio is then determined within a given segment and compared to the mean bands ratio. If the first bands ratio of the given segment is greater than the mean bands ratio by at least a predetermined multiplier, the given segment is labeled as inspiration. If the first bands ratio of the given segment is less than the mean bands ratio by at least a predetermined multiplier, the given segment is labeled as expiration.

The invention discloses a permeable band ratio factor-based water depth inversion method, which comprises the following steps of: 1, performing radiant calibration on a remote sensing image; 2, performing atmospheric correction on the remote sensing image subjected to the radiant calibration; 3, performing image enhancement on the remote sensing image subjected to the atmospheric correction; 4, performing amphibious separation on the remote sensing image subjected to the image enhancement; 5, performing geometric correction and data processing on the remote sensing image subjected to the amphibious separation; and 6, establishing a neural network water depth inversion model. Compared with a neural network model using single permeable band as input, the permeable band ratio factor-based neural network inversion model has low standard deviation and large related coefficients. The model is not affected by the seawater type and the undersea sediment, and simultaneously has the function ofsolving nonlinear mapping and good promotion capability.

The color difference and / or chromaticness difference between target objects and background objects can be enhanced. Different colors with different color attributes mean different objects. In some cases, different chromaticness, such as saturation and hue, mean different two- or three-band ratio. The light from the surface of objects is filtered by optical system integrated with two- and three-band mixing method so that only the light in the wavelength range of the pass bands can reach optical sensors for opto-electronic sensing devices. With this kind of opto-electronic sensing devices, two- and / or three-band ratio criteria widely used in remote sensing and machine vision applications can be calculated in terms of color attributes. Multi-spectral imaging system can be replaced by this kind of sensing devices. This kind of two- or three-band mixing illumination can be used to identify, classify, and detect objects for human visual application, remote sensing, and machine vision application.

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 invention discloses a method for identifying artificial facilities on the sea by using spectral remote sensing images. Anomaly detection is performed after preprocessing hyperspectral data to obtain suspected targets. Then extract spectral features such as band ratio and spectral derivative in the spectral domain, use the clear geometric texture characteristics of the red band in the image domain, extract the straight line and circle features of the target image, and finally identify the target of interest through fusion analysis. The method provided by the invention fills in the blank of using remote sensing images to automatically identify artificial facilities on the sea. It is suitable for the detection and identification of artificial facilities on the sea by hyperspectral sensors, and it is also applicable to multispectral images, and has a good application prospect.

The invention discloses a compact type plane dual-band omnidirectional circularly polarized antenna. The compact type plane dual-band omnidirectional circularly polarized antenna is characterized by comprising a plane radiating antenna, a center shorting pin, an input connector and a feed probe; the plane radiating antenna sequentially comprises a capacitor chip, a medium substrate I, a radiating chip, a medium substrate II and a floor from top to bottom, and an air layer is arranged between the radiating chip and the medium substrate II; the capacitor chip is connected with an inner conductor of the input connector through the feed probe, protection holes are arranged at corresponding positions on the radiating chip and the floor, the feed probe penetrates through the positions on the radiating chip and the floor, and inner diameters of the protection holes are larger than the diameter of the feed probe; and the radiating chip is composed of a primary round radiation chip and three groups of radiating units which are of same structures, the three groups of radiating units are loaded on the periphery of the primary round radiation chip and composed of six arc vibrators, and each group of radiating units is composed of two arc vibrators with different length. The antenna has the advantages of being good in omnidirectional radiation, good in circular polarization in the ranges of 360 degrees on a plane and flexible in dual-band ratio.

The present invention relates to a method of calculating a Topography Adjusted Vegetation Index (TAVI) based on a band ratio model and a solar altitude angle. The method includes the following steps: obtaining the apparent reflectance data of a remote sensing image through image preprocessing, analyzing the quality of the image and numerical distribution, calculating a Shadow Vegetation Index (SVI), and constructing a TAVI combinational algorithm:TAVI=BirBr+f⁡(Δ)·1Br,calculating an adjustment factor f(Δ) with the solar altitude angle, and finally obtaining anti-topographic effect TAVI vegetation information. The TAVI in the present invention is composed of two band ratio submodels RVI and SVI, the denominators of both of which are red band data of a remote sensing image, and the adjustment factor f(Δ), which is calculated by a solar altitude angle as a parameter with a sensor factor applied, has great physical significance. The TAVI calculation method does not need digital elevation model (DEM) data and remote sensing image classification when not depending on ground survey data, and ensures that the interference of the topographic effects with the vegetation information can be effectively eliminated by the TAVI, thereby avoiding the problem of reduced inversion accuracy of ground vegetation information due to different registration accuracy of a remote sensing image and DEM data.

The embodiment of the present application discloses a white balance correction method, device, storage medium and terminal equipment. The method includes: based on the image data acquired by the camera, determining the initial classification result and initial confidence of the light source; based on the data acquired by the color temperature sensor, Determine the infrared band ratio and color temperature information of the light source; calculate according to the infrared band ratio, the color temperature information, and the initial confidence level to obtain the target confidence level; when the target confidence level is less than the preset threshold, by Adjusting the initial classification result to obtain a target classification result; determining a target white balance parameter according to the target classification result, and performing white balance correction on the image data according to the determined target white balance parameter.

The invention discloses a practical atmospheric correction method for remote sensing images, which comprises three steps: a first step, inverting the optical thickness of atmospheric aerosol from MODIS data by means of a 6S model lookup table based on a dense vegetation algorithm; a second step, calculating total content of atmospheric vapor by using an MODIS data band ratio method, and then calculating the optical thickness of the atmospheric vapor; and a third step, combining the inverted optical thickness of the atmospheric aerosol, the optical thickness of the atmospheric vapor and a DOS model to invert the earth surface reflectance. The calculated earth surface reflectance has high precision; the method has strong practicability, and is applicable to various land satellite images; and the MODIS data can be acquired freely every day; therefore, the method can be used as a service atmospheric correction method for the remote sensing images.