363 results about "Photogrammetry" patented technology

The invention discloses a road slope modeling method based on an unmanned aerial vehicle inspection route, and relates to the technical field of unmanned aerial vehicle inspection. The method comprises the following steps: measuring the road slope length, the landform and the geological complexity, and selecting an adaptive unmanned aerial vehicle type and sensor combination according to the road slope length, the landform and the geological complexity; planning unmanned aerial vehicle surface inspection and shallow geological exploration routes, ensuring space matching, and synchronously obtaining high-resolution images and ground penetrating radar data; and processing image data through a photogrammetry technology, generating a digital elevation model and an orthophoto map, and combining to construct a three-dimensional model of the earth surface. Geophysical inversion is carried out on the ground penetrating radar data, reflection features are extracted and projected to the ground surface three-dimensional model, and space correlation between the ground surface and a shallow layer structure is established; the reflection features are digitalized and geometrically reconstructed into three-dimensional surface elements, the three-dimensional surface elements are embedded into an earth surface model to form a three-dimensional geologic body model, time dimensions are introduced, and a dynamic evolution model is constructed. According to the dynamic evolution model, the dynamic analysis of the slope stability is realized.

The invention discloses a prediction method for quantifying the development degree of undermining diseases of rammed earth cultural relics, and relates to the field of cultural relic protection. The method comprises the steps of obtaining three-dimensional laser point cloud data and close photography three-dimensional model data of the rammed earth cultural relics; fusion of the three-dimensional laser point cloud model and the close photography three-dimensional model is realized, and a rammed earth cultural relic undermining disease three-dimensional model is constructed; based on the rammed earth cultural relic undermining disease stereoscopic model, quantitative indexes of undermining disease development are extracted, and an undermining disease development prediction model is constructed and optimized; and generating and outputting a quantitative report of the development degree of the undermining disease of the rammed earth cultural relics. According to the method, three-dimensional laser scanning and close photogrammetry are combined, differentiated routes are designed for areas with different heights, alignment of cross section contours of different models is realized based on Fourier description, a Poisson curved surface reconstruction technology is combined with a hole filling algorithm to complement missing parts of the models, spatial distribution and morphological characteristics of undercut diseases are intuitively presented, and the method is suitable for large-scale popularization and application. The change rule of undercut diseases along with time is quantified, and protection work is promoted to be changed from passive repair to active prevention.

The invention provides a seawall terrain extraction method and system fusing a vehicle-mounted laser point cloud and an inclination model. The method comprises the following steps: forming a seawall range according to a seawall vector diagram and a satellite image; dividing a seawall range into a vehicle-mounted laser radar acquisition range and an unmanned aerial vehicle oblique photogrammetry range; acquiring a vehicle-mounted laser point cloud collected by a vehicle-mounted laser radar, and performing preprocessing and precision optimization on the vehicle-mounted laser point cloud; obtaining oblique photography image data collected by a five-splicing camera carried by the unmanned aerial vehicle, and generating an oblique photography model and an oblique three-dimensional model point cloud; extracting edge line elements and angular point feature points of a common overlapping area in the inclined three-dimensional model point cloud and the vehicle-mounted laser point cloud, and performing point cloud fusion based on the edge line elements and the angular point feature points; filtering the fused point cloud to screen seawall terrain point cloud data; according to seawall terrain point cloud data, resolution-adaptive digital elevation models are constructed for different areas of a seawall, and seawall structure features can be accurately represented.

An autonomous drone swarm system and method utilizing artificial intelligence for coordinated operations comprises command drones equipped with large language model processors and subordinate drones coordinated through a hierarchical Queen-Worker architecture. The system processes natural language commands, generates autonomous mission plans, and coordinates multi-drone operations through an encrypted self-healing mesh communication network utilizing laser, radio frequency, and visual communication channels. Multi-modal sensor integration including electro-optical, infrared, LiDAR and photogrammetry, radio frequency, and chemical detection provides comprehensive environmental awareness while federated learning algorithms enable distributed coordination in signal-denied environments. The system implements configurable operational modes spanning tactical (15 minutes-2 hours over 2 to 5 square kilometers), operational (6-24 hours over 20 to 50 square kilometers), and strategic (7-30+days over 200 to 500 square kilometers) mission profiles for military and commercial applications. Fault-tolerant protocols ensure continued operation despite individual failures through automatic task redistribution and leader election procedures.

The invention discloses an unmanned aerial vehicle multispectral system error calibration and correction method based on a Boolean model, and belongs to the technical field of photogrammetry and remote sensing. Comprising the following steps: acquiring a multispectral image, acquiring original POS data, and performing band registration preprocessing on the image to generate a first orthoimage to confirm a system error magnitude; carrying out bundle method strict adjustment by using ground control points to obtain reference POS data, and solving seven-parameter conversion parameters; correcting the original POS data by using seven parameters and generating a high-precision orthoimage; and generating a simplified multispectral camera calibration and verification formula according to the difference value of the POS data before and after correction. Complex coordinate conversion is simplified into fixed value addition and subtraction operation, one-button calibration and batch correction of system errors of the multi-spectral camera of the unmanned aerial vehicle are achieved, the positioning precision is improved to the centimeter level from the meter level, dependence on ground control points is greatly reduced, and an efficient standardized solution is provided for large-scale engineering data processing.

The invention discloses a calibration board and wind tunnel feature point-based binocular system wind tunnel coordinate system calibration method, and belongs to the field of aerodynamic tests. Comprising the following steps: reconstructing surface mark points of a calibration plate by photogrammetry outside a hole and establishing a local coordinate system to obtain coordinates under the local coordinate system; a binocular system is arranged in the hole, and binocular internal and external parameters are calibrated through a special cross calibration ruler; arranging a plurality of circular feature mark points on the surface of the hole wall with overlapped visual fields of the binocular system; the calibration plate is correctly placed according to the geometrical relationship, so that each vector of the local coordinate system is parallel or perpendicular to an incoming vector, and the binocular system reconstructs global points of the calibration plate and registers the global points to achieve alignment of a measurement coordinate system of the binocular system and a wind tunnel coordinate system; reconstructing a three-dimensional coordinate of the fixed point in a wind tunnel coordinate system through a binocular system; and in a subsequent test, adopting resection to realize the recalibration of the wind tunnel coordinate system. According to the invention, high-precision and high-efficiency alignment requirements of a measurement coordinate system and a wind tunnel coordinate system of a binocular system can be met.

The invention discloses an underwater target volume measurement method, device and equipment based on three-dimensional reconstruction and a medium, and belongs to the technical field of photogrammetry, underwater image processing and point cloud volume calculation cross, and the method comprises the steps: carrying out the video data collection of an underwater target through video collection equipment, and obtaining an original image with image format data; the underwater image enhancement method model based on depth estimation performs image enhancement on the original image to obtain an underwater enhanced image; reconstructing a real scene containing a target based on the underwater enhanced image; and based on the three-dimensional reconstruction point cloud, segmenting to obtain the to-be-measured target, and obtaining the volume parameter of the underwater target. According to the method, a three-dimensional reconstruction technology is utilized, a real target structure is restored, the measurement accuracy of the underwater target defect volume is improved, a reference standard is provided for later repair, the maintenance cost is reduced, and the operation safety of a hydraulic structure is guaranteed.

The invention relates to the technical field of slope stability analysis, in particular to a joint slope parameterized modeling and analysis method, which comprises the following steps of: performing photogrammetry by an unmanned aerial vehicle to obtain a surface grid model; constructing a controllable high-precision curved surface on the model; generating a three-dimensional joint slope model and a support model; and constructing a numerical model, and carrying out slope stability analysis. According to the method, parameterization application of the process is realized based on a Rhino-Griddle platform and a Python language through the modeling process of three-dimensional real terrain, curved surface construction, block generation, grid model construction and support structure model construction; a complex three-dimensional joint slope model and a support model can be quickly generated based on existing information, a model file which can be exported to 3DEC software is generated, obvious advantages are achieved in multiple aspects, and a real, efficient and universal technical path is provided for three-dimensional joint slope modeling and support effect analysis.

The invention provides a building three-dimensional automatic modeling method based on oblique photogrammetry data, and belongs to the technical field of three-dimensional modeling. The method comprises the following steps: converting measurement data into three-dimensional point clouds, and obtaining non-ground point clouds in the three-dimensional point clouds by adopting a CSF algorithm; non-ground point clouds are clustered on the XY plane by adopting a DBSCAN algorithm to obtain independent point cloud clusters corresponding to the building, and two-dimensional vector contours of the independent point cloud clusters are obtained by adopting an Alpha Shape algorithm. The independent point cloud clusters are horizontally sliced along the Z axis, a plurality of cross section point sets are extracted in the Z-axis direction, two-dimensional convex hulls of the cross section point sets are calculated, the intersection-to-union ratio of the two-dimensional convex hulls and preset convex hulls is calculated, and when the intersection-to-union ratio exceeds a threshold value for the first time and is kept stable, the boundary height of the building is obtained. And stretching the two-dimensional vector contour along the Z axis according to the boundary height to obtain a first three-dimensional model of the building. According to the invention, manual intervention can be reduced, and the building modeling efficiency is improved.

The invention belongs to the technical field of three-dimensional vision measurement, and relates to a deformation measurement method and system of a composite vision measurement unit. The internal and external parameters of the binocular measurement unit are obtained according to the image of the thrust vectoring nozzle target area calibration plate; obtaining coordinates of all binocular measurement units in the same reference coordinate system according to the internal and external parameters and the images of the thrust vectoring nozzles with the first coded mark points, and obtaining coordinates of all binocular measurement units in a unified coordinate system; and acquiring full-field deformation of all target areas of the thrust vectoring nozzle according to the speckle images of the target areas of the thrust vectoring nozzle in the working state and the coordinates of the unified coordinate system of all binocular measurement units. According to the invention, a digital image correlation method and a close-range photogrammetry technology are utilized to realize coordinate system unification and full-field deformation measurement. Compared with a traditional method, the measurement times and data processing steps are reduced, and the measurement efficiency is improved.

The invention relates to the technical field of photogrammetry, in particular to an earthwork measuring and calculating system based on an unmanned aerial vehicle surveying and mapping technology, which comprises a BIM (Building Information Modeling) route partitioning module, a point cloud quality evaluation module, a digital earth surface model generation module and an earth volume measuring and calculating module. According to the method, by analyzing geometric parameters such as gradient and curvature of a designed curved surface, intelligently partitioning and optimizing an unmanned aerial vehicle surveying and mapping route, and executing independent density clustering on point cloud data streams according to route partitions, dynamic evaluation and marking of spatial data quality are realized, and vegetation point clouds are removed in combination with image color information; the method comprises the following steps: correcting data by using an abnormal mark of quality evaluation, generating an accurate digital earth surface model, finally carrying out elevation deviation comparison on the accurate digital earth surface model and a designed curved surface, finely calculating the earth volume through a regular grid, and carrying out statistical analysis by using a root mean square error, thereby improving the accuracy and reliability of a measurement result.

The application discloses a kind of unmanned aerial vehicle photogrammetry and depth learning's field-gully-pond extraction method, belong to remote sensing technology and agricultural informatization technical field, method includes: using unmanned aerial vehicle carries multispectral camera and optical lens, obtains original image data by tilt photogrammetry technique;The original image data obtained is preprocessed, generates multispectral image (DOM) and digital surface model (DSM);From the spectral, topography and texture features of small watershed field-gully-pond system, construct the multiple extraction framework of U-net algorithm with built-in attention mechanism, image segmentation model supporting zero sample learning, multi-scale segmentation technology and shape feature extraction algorithm, carry out image segmentation, classification and interpretation, realize the fine extraction of small watershed field-gully-pond system;The design can improve the extraction accuracy and efficiency under complex terrain, applicable to current small watershed agricultural non-point source pollution migration trajectory simulation and farmland fine management.

The invention provides a photogrammetry integrated control method and system, and relates to the technical field of photogrammetry control, and the method comprises the steps: obtaining multi-source original data, such as a sequence image, an initial point cloud and a real-time attitude parameter; carrying out combined preprocessing of timestamp alignment, point cloud denoising and image distortion correction, and uploading key logs and quality indexes through a consensus mechanism for evidence storage; performing bundle adjustment to solve internal and external orientation elements, and calling block chain historical control points for verification and dynamic adjustment; generating an initial three-dimensional point cloud through dense matching; verifying the point cloud precision by using a high-precision check point, and feeding back a correction instruction when the point cloud exceeds the limit; gridding and texture mapping are carried out on the effective point cloud to generate a three-dimensional model, and achievements are partitioned and stored in edge nodes and are chained for evidence storage; the system comprises a multi-source data acquisition module, a data preprocessing module, an adjustment resolving module, a point cloud generation module, a point cloud verification module and a three-dimensional modeling module. The efficiency, precision and reliability of photogrammetry are effectively improved.

The invention discloses an automatic construction method and system for a three-dimensional model of a transformer substation, and belongs to the technical field of digital modeling of a power system. The method comprises the following steps: acquiring point cloud data of a transformer substation through oblique photogrammetry and three-dimensional laser scanning; performing denoising, compression, resolution unification and multi-source fusion preprocessing on the point cloud; equipment segmentation extraction is realized based on space cutting, normal vector change and morphological characteristics; fPFH feature extraction, RANSAC coarse registration and KD-ICP fine registration are adopted to complete equipment identification and registration; a coordinate system conversion strategy is unified to a geographic coordinate system, and a standardized three-dimensional model is exported. According to the method, the technical problems of low equipment identification precision and poor point cloud registration robustness in the prior art are solved, and full-process automation of three-dimensional modeling of the transformer substation is realized.

The invention discloses a mining area vehicle-mounted ore real-time detection and size estimation method and system. The method comprises the following steps: acquiring an ore image to be detected; an ore image to be detected is input to the improved YOLOv11-Miner model, the ore category is obtained, and the improved YOLOv11-Miner model comprises a spatial domain and frequency domain dual-domain mixing module, a boundary-semantic fusion enhancement module and a shielding perception multi-head attention module; and based on a monocular photogrammetry algorithm, converting the pixel coordinates of the ore category into an actual physical size, and obtaining the size of the ore. According to the method, the monocular photogrammetry algorithm and the dynamically calibrated camera parameters are combined, the pixel coordinates of the ore image can be converted into the actual physical size, and the accuracy of size estimation is remarkably improved.

The invention provides a building point cloud intelligent completion and feature extraction method based on oblique photography, and belongs to the technical field of three-dimensional imaging and laser point cloud. The method comprises the following steps: acquiring initial point cloud scanning data of a building, wherein the initial point cloud scanning data is measured based on a three-dimensional laser scanner; performing clustering on the initial point cloud scanning data to obtain a plurality of clustered initial point cloud distribution areas; for each initial point cloud data distribution area, calculating the point cloud data missing degree of the initial point cloud data distribution area through point cloud data feature extraction; and determining a point cloud completion mode of each initial point cloud distribution area according to the plurality of point cloud data missing degrees corresponding to the plurality of initial point cloud data distribution areas. According to the invention, the corresponding targeted point cloud completion mode can be intelligently selected according to the distribution characteristics of the initial point cloud data, and the integrity and accuracy of the three-dimensional point cloud data of the building are improved.

The present invention relates to the technical field of slope monitoring. Disclosed are a high-steep slope disaster monitoring method and system based on optimized views photogrammetry. The method comprises: acquiring initial data of a high-steep slope by means of a sensor and a GPS device, and constructing an initial three-dimensional model of the high-steep slope; acquiring accurate image data of each point of the high-steep slope by means of an optimized views photogrammetry device; on the basis of the accurate image data combined with an image processing technique, optimizing the initial three-dimensional model, so as to generate an optimized three-dimensional model of the high-steep slope; and establishing a real-time monitoring and early-warning mechanism, collecting the accurate image data of each point of the high-steep slope in real time, performing deformation analysis on the optimized three-dimensional model, so as to promptly find the deformation situation of the slope, and raising an alarm. In the present invention, optimized views photogrammetry is used, such that high-resolution image data can be acquired in a relatively complex area that is difficult to approach, and terrain features of a high-steep slope area can be clearly displayed, thereby providing more comprehensive and detailed information for monitoring and disaster investigation of a high-steep slope.

The invention relates to the technical field of photogrammetry, and discloses a photogrammetry space reconstruction method based on multi-source image fusion, which comprises the following steps: extracting an interior orientation element and an initial exterior orientation element, and establishing an image beam intersection constraint intensity model in an object space to calculate a constraint weight; monitoring a weight space change rate to identify a heterogeneous image connection area and extracting a high-weight image bundle as a geometric anchor point; a differential regularization item is applied to geometric anchor points to construct a stable geometric skeleton, a weight damping factor is utilized to restrain a low-weight image beam to execute conformal mapping correction, the image beam constraint strength is represented, the condition number of an adjustment method equation matrix is improved, numerical oscillation caused by difference of different-source sensors is restrained, geometric step of a fusion interface is eliminated, and the conformal mapping correction accuracy is improved. And geometric closing and seamless stitching of a multi-source image under a unified framework are realized.

The invention discloses a forest three-dimensional integrated reconstruction method fusing on-forest and under-forest images, and belongs to the technical field of forestry informatization, three-dimensional reconstruction and remote sensing. According to the method, two collection tasks with complementary functions are executed by deploying the same technology; an advanced unmanned aerial vehicle-based cross surrounding route is utilized to perform canopy surveying and mapping, and a crossing unmanned aerial vehicle is innovatively adopted to perform under-forest crossing collection. And carrying out independent reconstruction and high-precision registration on the two groups of homologous image data through a motion recovery structure algorithm, and finally generating a vertical structure integrated forest three-dimensional model. The result shows that the point cloud reconstructed by the CCO route is close to the airborne laser radar in integrity, and the individual tree parameters extracted by the integrated point cloud are highly related to the foundation laser radar. Through an innovative multi-view and multi-level data acquisition and fusion strategy and a single and economic photogrammetry technology, the method has the potential of obtaining comprehensive forest three-dimensional structure information, and a new method is provided for realizing large-scale and high-precision forest dynamic monitoring.

The invention relates to the technical field of unmanned aerial vehicle photogrammetry, and discloses a three-dimensional model generation method based on unmanned aerial vehicle oblique photogrammetry. The method comprises the steps of obtaining an original oblique photography image set of an unmanned aerial vehicle and a terrain parameter set of a to-be-modeled area; performing multi-scale preprocessing on the original image set to obtain a first scale feature image set and a second scale feature image set; a textural feature evolution sequence is extracted from the second scale feature image set, shooting constraint initialization is completed in combination with the topographic parameter set, and an initial control constraint group is output; performing spatial feature reconstruction on the first scale feature image set according to the constraint group to obtain a three-dimensional topological feature vector set; performing multi-dimensional registration constraint on the vector set based on a similarity threshold value, and positioning an optimal registration path; performing topology correction by combining the path and the topographic parameter set, and outputting a corrected three-dimensional feature set; and if a preset condition is not met, incrementally updating the texture feature evolution sequence, and if the preset condition is met, outputting a target three-dimensional grid model.

The invention provides a photogrammetry control method and device based on a laser galvanometer and electronic equipment, and belongs to the technical field of photogrammetry, and the method comprises the steps: controlling the laser galvanometer to deflect according to a preset scanning path in a single exposure period of a camera, so as to form n laser gratings in a single frame image collected by the camera; extracting feature information of each laser grating from the single-frame image, wherein the feature information comprises pixel coordinates in a space coordinate system; and calculating three-dimensional coordinate points of the surface of the object to be measured according to the real-time deflection angles of the laser galvanometer when the laser galvanometer projects the laser gratings, the feature information of the laser gratings and pre-calibrated camera parameters, and summarizing to generate three-dimensional point cloud data. According to the invention, the precision of photogrammetry is improved.

The invention mainly relates to the field of digital image photogrammetry. In order to solve the problems that road crack detection lacks end-to-end quantitative analysis capability and crack extraction results are fragmented, the invention provides a road crack extraction and grading method based on topological structure constraints, and the method comprises the following steps: crack end point extraction and width calculation, skeleton of a crack center line, identification of a connected region and end points, and classification of the end-to-end quantitative analysis capability of the end-to-end quantitative analysis capability of the end-to-end quantitative analysis capability of the end-to-end quantitative analysis capability. The crack width corresponding to each center point is calculated through Euclidean distance transformation; potential breakpoint pairs are screened according to attribution, distance and direction constraints, then a topological connection rule is constructed, self-adaptive repair of the fracture is achieved, and the geometric integrity of the fracture is recovered; and performing quantitative analysis on the repaired cracks, accurately calculating the length, the average width, the maximum width, the area and the geographic coordinates of each crack, and performing danger grade division on each crack according to a preset threshold value to form structured disease data and a grading result which can be directly used for road risk assessment.

The invention provides a channel slope deformation monitoring method based on unmanned aerial vehicle approach photogrammetry. The method comprises the following steps: automatically generating a global optimization route; performing online adjustment on the position of the next waypoint and the attitude of the unmanned aerial vehicle; inputting the multi-view image and three-dimensional coordinates of image control points arranged in the to-be-measured area into an aerial triangulation system, and reconstructing a dense point cloud at the current moment; the sampling density is adaptively adjusted according to the geometric change of the neighborhood of each point of the point cloud; inputting the point cloud at the current moment and the point cloud at the reference moment after adaptive downsampling into an iterative nearest point registration algorithm with dynamic neighborhood search and a feature weighting mechanism to finish accurate alignment of the point clouds at the two time phases; calculating a three-dimensional displacement vector of each corresponding point according to the two aligned time phase point clouds, and generating a continuous displacement field through multi-scale interpolation; and carrying out risk assessment on the channel slope deformation by combining the displacement amount of the displacement field and the spatial gradient thereof. According to the invention, the precision and efficiency of channel slope deformation monitoring are improved.

The invention provides a gantry type image measuring instrument, and relates to the field of photogrammetry. Comprising a measuring instrument body and a portal frame arranged on the measuring instrument body. The camera shooting assembly is used for camera shooting measurement; the protective belt is annular and light-permeable, and the protective belt can be movably adjusted in the length direction of the protective belt; side plates are arranged on the front side and the rear side of the protection belt, and a protection cavity used for surrounding the camera shooting assembly is defined by the protection belt and the two side plates; the cleaning mechanism is arranged on one side of the bottom of the protective belt; the number of the inflation sealing rings is two, the two inflation sealing rings are arranged at the edges of the two side plates respectively, and the two inflation sealing rings are attached to the front side edge and the rear side edge of the protection belt respectively; and the inflator mechanism is arranged in the protection cavity. The camera shooting assembly is protected through the closed protection cavity defined by the protection belt and the side plates, meanwhile, the protection belt replaces a lens, cleaning is conducted through the cleaning mechanism, and the lens is prevented from being directly brushed and cleaned to cause abrasion.

The invention discloses a multi-view three-dimensional reconstruction method and device based on reliable anchor point guidance and a medium, and the method comprises the steps: firstly extracting a high-confidence anchor point from a multi-view image, optimizing auxiliary visual angle selection with the visibility of the anchor point as a constraint, and achieving the stable diffusion of a depth initial value through confidence propagation; in the reconstruction stage, deformation parameters of local patches are adaptively adjusted according to scale differences and elevation angle changes between visual angles, so that geometric consistency and detail fidelity of depth estimation are enhanced; and finally, dynamically adjusting a point cloud sampling strategy according to anchor point density distribution and a visual angle overlapping rate, and realizing dense three-dimensional reconstruction with noise suppression and continuous structure. The method can maintain the reconstruction precision and stability under the conditions of complex visual angles and multiple types of images, is suitable for the scenes of engineering surveying and mapping, intelligent monitoring, unmanned aerial vehicle photogrammetry, digital twin model updating and the like, and has the characteristics of high robustness, high precision and good expandability.

In order to solve the technical problems that a conventional reflector antenna electrical axis direction calibration method is relatively complex and the error is relatively large when the conventional reflector antenna electrical axis direction calibration method is applied to a reflector antenna of which a mechanical axis is not easy to determine, the invention provides a reflector antenna electrical axis direction calibration method. A reference point tool coordinate system measured by a laser tracker and a reference point tool coordinate system tested by a photogrammetry camera are used as transfer, an incidence relation between an antenna coordinate system and a plane scanning frame coordinate system is established, and finally, the plane scanning frame coordinate system is obtained by combining the measured electric axis direction under the plane scanning frame coordinate system. And the electric axis direction under the antenna coordinate system can be obtained. The mechanical axis of the antenna does not need to be tested, a reference mirror is not needed, only one laser tracker and one photogrammetry camera are needed for testing, the testing method is simpler, the testing efficiency is higher, for the antenna of which the mechanical axis is not easy to determine, errors caused by fitting of the mechanical axis are avoided, and the testing precision is improved. The electric axis obtained by the method is more accurate in pointing.

The invention discloses a building facade extraction and quality evaluation method based on oblique photography, and the method comprises the steps: firstly designing a flight scheme for building facade modeling, and carrying out the oblique photography measurement of a single high-rise building; processing the obtained image data to generate dense point cloud, mesh models and other products; then constructing an element two-dimensional vector contour line fitting a building model based on the building orthoimage, separating the building in the scene dense point cloud from ground points by using a CSF algorithm, removing decorations on the building facade by using an HSV algorithm, and further obtaining processed building facade point cloud data; extracting the building facade based on an RANSAC algorithm, and extracting a complete facade without facade ornaments by setting a proper threshold value, iteration times and a point cloud normal vector deviation range; and finally, fitting the facade point cloud extracted based on the RANSAC algorithm, and performing quality evaluation from two aspects of flatness and perpendicularity.

The invention relates to the technical field of data line performance testing, in particular to a data line tensile property testing device and method. The data line tensile property testing device comprises a base, a static clamp, a linear guide rail, a driving mechanism, a sliding platform, a force value sensor, a dynamic clamp, a displacement sensor and a visual inspection mechanism. The device is used for continuously recording the whole stretching test process, real-time visual recording of the apparent deformation and damage process of the data line is achieved, the defect that process monitoring is incomplete is overcome, meanwhile, after the test is finished, the height of the annular mounting frame is adjusted through the position adjusting assembly, and the measurement accuracy is improved. According to the method, the high-resolution area-array camera is close to the failure part of the data line, so that a high-definition image is obtained, a data basis is provided for three-dimensional reconstruction by adopting a photogrammetry or stereoscopic vision algorithm, high-precision three-dimensional shape analysis of the failure part of the data line is realized, and the problem of inaccurate analysis is solved.

The invention discloses a non-contact measurement system and method for full-field deformation of a fuselage in an airplane crash test, and belongs to the technical field of airplane structure strength testing, and the method comprises the steps: making a high-quality speckle pattern on the surface of the fuselage, and laying cooperation mark points; a binocular camera flexible self-calibration method is used for completing calibration of the stereo measurement system; unification of global coordinates of multiple systems is assisted through unmanned aerial vehicle photogrammetry; a synchronous controller is adopted to trigger multiple sets of systems to synchronously collect images in the falling and collision process; obtaining the motion trail and speed of the key measuring point based on a mark point positioning tracking and stereoscopic vision principle; acquiring a full-field three-dimensional displacement field and a strain field based on a digital image correlation method guided by a control point and a stereoscopic vision principle; and deformation visualization representation is realized through image splicing and data fusion. According to the invention, non-contact, high-precision and full-field dynamic measurement of the three-dimensional deformation field in the falling and collision process of the whole large aircraft is realized, and technical support is provided for analysis and evaluation of falling adaptability of the aircraft structure and verification of anti-falling and anti-collision design.

The embodiment of the invention discloses an impact point positioning method for virtual shooting, and relates to the technical field of photogrammetry, and the method comprises the following steps: uniformly arranging T-shaped structure identifiers on a target screen; measuring to obtain an object space coordinate of the infrared lamp identifier on the T-shaped structure identifier; acquiring an image of the target screen in real time; determining an image space coordinate of each highlight area based on the gray value of each pixel, and determining a corresponding T-shaped structure identifier; and according to the image space coordinate and the object space coordinate corresponding to each T-shaped structure identifier, determining a projection relationship between the object space and the image space, calculating to obtain a camera exterior orientation element of the image acquisition device, calculating to obtain an object space plane coordinate corresponding to the central point of the image, and outputting an impact point positioning result. The method provided by the embodiment of the invention is simple and easy to implement, does not need a complex image analysis process, and can quickly, simply and conveniently determine the object space coordinates according to the center point coordinates of the collected image, so that the impact point position is positioned.