35 results about "Least squares matching" patented technology

A method for correcting distortions in multi-focus image stacks comprising the steps:acquiring a plurality of N colour images with an optical system; wherein each color image encompasses a plurality of pixels;converting each of two successive colour images of the N images into monochrome images;scaling each of the monochrome images to a conveniently M by M image;calculating a geometric transformation and a radiometric transformation of the two successive images, wherein the geometric transformation and the radiometric transformation is determined by a set of coefficients, which are determined by least square matching, andusing the determined set of coefficients from each of two successive images, to correct each image sequentially and thereby constructing the multi-focus image by applying the determined parameter set to each of the successive images.

The invention provides a satellite platform chattering detection method and system based on a multispectral image. The satellite platform chattering detection method based on the multispectral image comprises the steps of data preparation, wherein the original multispectral image is preprocessed, and a non-registered multispectral image is obtained; wave band selection, wherein two wave bands for detection are selected; intensive matching, wherein a sample point is selected, a pixel-level matching result is obtained through related image matching, coordinates of homologous image points of the sub-pixel accuracy are obtained through a least-square matching method, and matched homologous points are obtained; chattering analysis, wherein registering errors of the matched homologous points are calculated point by point, the variation of the registering errors along with imaging lines is obtained through analysis line by line, spectral analysis is carried out on platform chattering time sequence data through Fourier transform, and the spectrum features caused by chattering are obtained. The satellite platform chattering detection method and system based on the multispectral image achieve satellite platform chattering detection without high-accuracy and high-frequency chattering measurement equipment, and can accurately obtain the chattering frequency.

The invention discloses a large-plotting-scale tilt image measuring method based on a depth image; the depth image acquired by dense matching of the tilt images is used as a data source, an image point position of a to-be-measured target is measured on single image, a three-dimensional coordinate of the to-be-measured target is calculated through a geometry relationship between the single image and the depth image, multi-view information of the to-be-measured target is searched through an optimal baseline principle and a least square method, and thus the reliability and stability of the finally obtained measurement three-dimensional coordinate are improved. While the large-plotting-scale image measurement precision can be met, the measurement work efficiency of large-plotting-scale field work measurement is improved, and a large amount of field work measurement workload is saved.

The present invention is a least squares matching method based on multi-channel, which is mainly used for the matching optimization of multi-channel remote sensing images. The error equation is established for the luminance value of the corresponding pixel in the corresponding channel, and the iterative optimization of the radiation distortion and geometric distortion correction parameters is performed to search for the best matching point. Compared with the original matching method based on the gray scale image, the invention can reduce the interference of the color difference on the matching result, and improve the precision and stability of the remote sensing image matching.

An online automatic matching method for geometric correction of a remote sensing image relates to the technical field of remote sensing image matching. The method has the advantage that uniformly distributed control points are efficiently and reliably obtained by virtue of free or low-cost network image map resources by fully utilizing prior geometric information of the remote sensing image. The method comprises: dividing a to-be-matched image into a plurality of regions according to the number of control points required to be acquired by utilizing an initial imaging model of the remote sensing image, and taking an image block with a certain size in each region as a processing unit; determining an approximate range of a reference image block according to the range of a to-be-matched image unit and the initial imaging model, then downloading the reference image block through a network and re-sampling the reference image block to ensure that the resolution ratio of the reference image block is close to that of the to-be-matched image unit; and performing SIFT matching on the to-be-matched image unit and the reference image block, removing gross error points, finally selecting an optimal matching point from the rest of matching points, performing least square matching, and correcting point coordinates.

The invention relates to a digital speckle full-field deformation measurement method based on self-adaptive window matching, which comprises the following steps: 1) constructing a camera network: spraying digital speckles on the surface of an object to be measured, and arranging two cameras to shoot the object to be measured in a cross-direction photographing manner; 2) performing stereo matchingand target tracking; determining homonymous positions of target points in the left and right speckle image sequences by adopting a reliability guide matching mode, determining an optimal matching window for each target point by adopting a self-adaptive window matching method, finishing accurate target tracking by adopting least square matching, and obtaining two-dimensional sequence coordinates ofthe homonymous points in the speckle image sequences; and 3) performing full-field three-dimensional deformation measurement: according to the two-dimensional sequence coordinates of the homonymous points, adopting a collinear equation-based forward intersection algorithm to obtain the time sequence three-dimensional space coordinates of the target points, and completing the measurement of the deformation structure parameters of the to-be-measured object. Compared with the prior art, the method has the advantages of non-contact, rapidness and convenience.

The invention relates to a method for matching remote sensing images and reference images based on global geometric constraints, which is characterized in that it includes the following contents: constructing a remote sensing image imaging geometric model; reading reference image data and remote sensing images to be matched, and preprocessing the reference image data Obtain the reference image; preprocess the remote sensing image to be matched; perform affine-scale-invariant feature transformation matching on the reference image and the remote sensing image to be registered, extract feature points, and obtain the initial value of the least squares matching; based on least squares The initial value of the matching is the least squares matching through the globally constrained least squares matching model, and the radiation deformation parameters and geometric deformation parameters of the remote sensing images to be registered are output.

The invention discloses an optical satellite remote sensing image detection method. The invention provides an optical satellite remote sensing image detection method, which extracts the shadow area in the optical satellite remote sensing image by acquiring the optical satellite remote sensing image, performs shadow area reconstruction processing on the shadow area, and reconstructs the processed optical satellite based on the shadow area Remote sensing image, construct ratio map and multi-scale detail map, binarize multi-scale detail map, distinguish target area, extract interest area in the bottom view image of target area, according to the area of ​​interest, in the target area Predict the same region of interest on the front-view image and the rear-view image. Based on the epipolar constraints, perform the least squares matching of the three images on the bottom-view image, front-view image, and rear-view image, and perform forward intersection according to the matching results. , the digital surface model is obtained, and the processing efficiency of remote sensing satellite image data is further improved.

The invention provides a method for evaluating an influence of information hiding capacity on the measurement precision of a remote sensing image. The method comprises the following steps of: performing information hiding with different capacities on data of the remote sensing image of the original carrier by a remote sensing image information hiding method based on a Forstner characteristic point, and objectively and quantitatively evaluating the quality of the remote sensing image subjected to the information hiding; and evaluating the influence of the information hiding capacity on the measurement precision of the remote sensing image by a least square matching method. Therefore, an objective and accurate reference standard is provided for design of a better information hiding algorithm; and the method is high in practical value.