36 results about "Band ratio" patented technology

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 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.