6 results about "Least squares matching" patented technology

The application discloses an iterative classification matching data association method suitable for complex environment, and comprises the following steps: performing primary association; the characteristic group of primary association success constitutes a data set Z t + and F t + ; the characteristic group of primary association failure constitutes a data set Z t ‑ and F t ‑ ; solving a least square matching vector Θ according to the data set Z t + and F t + ; updating the data set F t ‑ by the least square matching vector Θ to obtain an updated data set, combining the data set Z t ‑ and F into new input, and performing iteration until a mean square error detection is satisfied. The application optimizes the data association method, improves the consistency of algorithm estimation, and reduces the algorithm calculation complexity, and makes up for the deficiency of ICNN and JCBB algorithms in large-scale underwater environment.

This invention discloses a ghost wave suppression method for OBS data based on horizontally extended complex wavelet transform. The method transforms land and water detection data into the complex wavelet domain using horizontally extended dual-tree complex wavelet transform. Then, the envelope energy ratio and phase ratio of the land and water detection data are calculated in different frequency bands of the complex wavelet domain to obtain the land detection amplitude and phase correction operators for each frequency band. These operators are applied to the land detection data to obtain calibrated land detection data. Subsequently, the land and water detection data are subtracted to obtain downlink wave data. Simultaneously, the above data undergoes an inverse complex wavelet transform to obtain a time-domain ghost wave model. Finally, the original land detection data and the ghost wave model are subtracted using least-squares matched subtraction to obtain the final uplink wave data. This invention, through fine calibration in the horizontally extended complex wavelet domain, can more effectively eliminate amplitude and phase differences in land and water detection data, thereby achieving higher-precision uplink and downlink wave field separation and ghost wave suppression.

The application provides a kind of mining ventilator blade geometry deformation on-line measurement method, belong to the technical field of precision measurement of geometric quantity, this method uses 2D laser profile sensor on-line collection blade deformation geometric information, through optimizing the spatial pose and measurement mode of sensor, realize the on-line, high-precision, non-contact measurement of coordinate data, using quartic polynomial least square fitting, curvature analysis and feature recognition, coordinate transformation and least square matching etc. Data-driven method extracts blade deformation characteristic quantity, solves the comprehensive characterization and evaluation problem of mining ventilator blade space deformation state. The application has the characteristics of non-contact, high efficiency, intelligentization, etc., the coordinate measurement accuracy reaches 2 μm level, the curve fitting error is controlled between ±1%, effectively solves the high-precision extraction problem of blade type measurement model, realizes the comprehensive measurement and evaluation of mining ventilator blade geometry deformation, and provides a perfect technical solution for mining ventilator blade deformation measurement.

The application relates to a method and device for monitoring an ancient road and a garden ecological dynamic based on binocular camera shooting, and belongs to the technical field of photogrammetry and computer vision. The method comprises the following steps: collecting multi-focus section images of the ancient road and the surrounding ecology; inversely calculating camera internal parameters of the corresponding focus section, and performing zoom camera endless zoom distortion calibration; using a collinear equation of binocular images and three-dimensional coordinates of control points to solve camera external orientation elements; taking a reference frame as a reference, calculating a relative offset of a target region in a continuous frame through sub-pixel accuracy least square matching, converting the ground resolution into a real ground deformation variable, and dynamically monitoring ancient road and ancient tree deformation variables; extracting ecological elements through image segmentation, analyzing coverage and texture changes based on a time sequence, and monitoring garden ecological changes. The application realizes joint monitoring of ancient road structure deformation, ancient tree posture change and surrounding ecological state, and improves the intelligent and fine level of cultural site protection.

The application relates to a least square fast image matching method, device, equipment and medium. The method comprises the following steps: simplifying an image transformation model between a real-time image and a reference image according to the characteristics that a translation movement only comprises two translation parameters in a high-precision displacement measurement scene, reducing six affine parameters of a least square matching method into two translation parameters, directly representing a least square target function as a cost function of two-dimensional displacement parameters, directly solving the cost function, and determining positioning information of a displacement table. The target function is represented as a function of transformation parameters, can be directly solved by numerical value, avoids multiple resampling of images, can obtain a global optimal solution, avoids convergence to a local optimal solution, improves the working efficiency of the least square image matching method, improves accuracy and reliability, and has the advantages of high execution efficiency, good real-time performance, simplicity and reliability.

The invention relates to a cultural relic lossless dating method based on diamond nitrogen-vacancy color center quantum sensing, and belongs to the technical field of cultural relic age determination and quantum sensing. The method solves the problem that destructive sampling needs to be carried out in traditional cultural relic dating technologies such as radioactive carbon dating and thermoluminescence dating, so that permanent damage is caused to cultural relics. Firstly, a sample is prepared and positioned, and a flat area rich in magnetic minerals on the surface of a cultural relic is selected; acquiring high-resolution three-dimensional shape data by using a scanning probe; a quantum probe integrated with a diamond nitrogen vacancy color center is adopted to measure surface stray magnetic field distribution in a non-contact manner through an optical detection magnetic resonance technology; based on the magnetic field data and the morphology information, equivalent thermal remanence vectors including magnetic declination, magnetic inclination and magnetization intensity in the cultural relic are calculated through a frequency domain inversion algorithm; and finally, comparing the paleomagnetic field parameter obtained by inversion with an archaeological geomagnetic long-term change reference curve, and determining a cultural relic firing age interval through least square method matching. According to the invention, zero-damage detection is realized.