75 results about "Photogrammetry" patented technology

This invention relates to a method for UAV flight path planning based on a 3D reality model, comprising the following specific steps: 3D reality modeling based on oblique photogrammetry, specifically including data acquisition planning, image preprocessing, aerial triangulation, dense matching, and texture mapping; and flight path planning based on the 3D reality model, specifically including importing the 3D model, setting the task area, setting flight parameters, and obstacle avoidance and safety settings. Through the deep integration of 3D reality modeling and intelligent flight path planning, safety and efficiency are improved. The high-precision 3D model generated using oblique photogrammetry technology can intuitively display three-dimensional information such as terrain undulations and obstacle distribution, enabling the UAV to autonomously avoid obstacles in complex environments and reducing collision risks. Dynamic optimization of the flight path through quantitative parameters improves operational efficiency and data acquisition completeness. Flight parameters can be quickly adjusted to adapt to different task requirements, ensuring operational safety while improving data quality and operational efficiency.

The application provides a real-time conversion method for pixels and geographic latitude and longitude in low-altitude photogrammetry, which comprises the following three parts: unmanned aerial vehicle capability confirmation, real-time conversion service implementation deployment for pixels and geographic latitude and longitude in low-altitude photogrammetry, and GIS geographic information platform integration docking. Through real-time data collected by an unmanned aerial vehicle, combined with a computer vision algorithm and a spatial geometric transformation model, the specific pixel points in image data are associated with real geographic coordinates, so that accurate positioning and measurement of ground objects are realized. The application relates to the technical field of low-altitude photogrammetry, and through the cooperative work of real-time data collection by an unmanned aerial vehicle, real-time conversion service for pixels and geographic latitude and longitude in low-altitude photogrammetry, and a GIS geographic information platform, efficient mapping from a photographed image to a geographic coordinate is realized, and accurate and rapid technical support is provided for low-altitude photogrammetry.

The present application belongs to the field of computer vision and remote sensing photogrammetry, aiming at the problem of being limited by the attitude estimation error of unmanned aerial vehicle and the altitude prior data in the prior art, a target geolocation system and method based on unmanned aerial vehicle image are proposed, the system at least includes a data acquisition module, an end-to-end geolocation module and a benchmark test evaluation module. The method uses the data acquisition module to obtain a data set containing a reference map, a query image and target label information as the data basis and evaluation benchmark of the target geolocation system; the end-to-end geolocation module receives the reference map and the query image, designs a target positioning algorithm, and calculates the geographic coordinates of the target points in the query image; the benchmark test evaluation module quantitatively evaluates the geolocation performance based on the RANSAC homography and the PnP-based pose estimation strategy. The present application improves the geolocation accuracy and reliability by using the system and method.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for identifying characteristics of electric grid assets are disclosed. A method includes obtaining a plurality of images, each image depicting at least one utility pole of an electric grid; detecting, in each of the plurality of images, keypoints of the at least one utility pole depicted in the image; determining, using the keypoints from at least two images of a particular utility pole, at least one measurement of the particular utility pole; determining, using the measurement of the particular utility pole, an electrical characteristic of an asset supported by the particular utility pole; and providing the electrical characteristic as an output. The two or more images include images of the particular utility pole captured from multiple different camera perspectives. The asset can include a capacitor, a transformer, a switch, a power line.

The application discloses a rockfill material gradation detection method and device based on unmanned aerial vehicle aerial survey and instance segmentation, and comprises the following steps: establishing a conversion relationship between surface gradation and overall gradation by relying on local surface rockfill material images before density pit excavation and rockfill material screening results of the density pit; obtaining a rockfill dam filling bin surface image by using unmanned aerial vehicle close-range photogrammetry technology; generating an orthographic image of the filling bin surface; making an image dataset based on the orthographic image; training an instance segmentation model jointly constructed by YOLOv8 and Unet to obtain an instance segmentation model for rockfill material segmentation; obtaining an orthographic image of a rockfill dam filling bin surface to be predicted and cutting it into small blocks, using the instance segmentation model to perform prediction, realizing pixel-level instance segmentation and morphology extraction; splicing the predicted blocks, performing morphology quantitative analysis on the rockfill material instances obtained by prediction, and obtaining overall bin surface rockfill gradation through gradation conversion. The application realizes accurate and efficient gradation detection of overall bin surface rockfill.

This aims to make it easier to recapture abnormal images during photogrammetry imaging. [Solution] The system performs a process that includes immediately detecting anomalies in the captured image upon generation of an image for generating three-dimensional shape information representing the three-dimensional shape of a 3D object, and storing the captured image and the result of the anomaly detection in association with each other. The result of the anomaly detection may be presented. In addition, guidance for re-capturing the image in which an anomaly was detected may be presented. This disclosure can be applied, for example, to information processing devices, imaging devices, electronic devices, information processing methods, imaging methods, or programs.

The present application relates to the technical field of rainfall seepage physical simulation, and particularly relates to a rainfall seepage physical simulation experiment platform and an experiment method, comprising a base, a photogrammetry point, a Perspex baffle, a platform frame, a similar simulation coal rock stratum, a seepage monitor, a computer, a second plastic water pipe, a wastewater tank, a camera, a moisture sensor and a filter assembly, and the top outer wall of the base is fixedly connected with the platform frame; the present application is simple in experiment work, convenient in operation, high in practicability and safety, and accurate in obtained data, is suitable for a coal seam mining simulation experiment process under rainfall conditions, can obtain physical parameters such as a migration law of overburden rock, a development law of mining fissure and rainfall seepage characteristics in a coal seam mining process under rainfall seepage conditions; simulation experiment data is monitored in real time through a three-dimensional photogrammetry system and a coal rock stratum seepage monitoring system, the influence of other factors on the similar simulation experiment data is reduced, and the stability and accuracy of the data are ensured.

The invention discloses a photovoltaic component segmentation positioning method and a related device, and belongs to the field of photovoltaic constructions.The method comprises the following steps that pre-processed point cloud data are preliminarily segmented until all the pre-processed point cloud data have affiliation sets, and then a point cloud set is obtained; calculating a domain point corresponding to each point in the point cloud set, constructing a domain point matrix according to the domain points, processing the domain point matrix by adopting a vector cross multiplication method, and normalizing to obtain a unit normal vector; and after the point cloud set is segmented again, the point cloud data segmented again is screened according to the unit normal vector, an expected contour point set of the BIM model is extracted, the screened point cloud data and the expected contour point set are registered, and a point cloud segmentation positioning result of the photovoltaic component is obtained. According to the method, the problems that images are lost and photovoltaic component positioning analysis cannot be accurately carried out due to the fact that a photogrammetry method is adopted by a photovoltaic power station in a complex environment can be solved.

This application relates to the field of data analysis technology, and in particular to a method, apparatus, computer device, storage medium, and computer program product for extracting profile lines from oblique photogrammetry data. The method includes: dividing the oblique photogrammetry data into multiple block files according to a geographic grid, with each block file containing a root node corresponding to a specific block file, and hierarchically storing node files corresponding to child nodes derived from the root node; identifying target block files and target node files that intersect with the projection line data; reading specific geometric data from the target node files, with the geometric data associated with profile line extraction; using a preset intersection algorithm to traverse the geometric data in all target node files to obtain profile points, and connecting the profile points to generate target profile lines. This method can improve the efficiency of profile line extraction in large-scale oblique photogrammetry data and reduce the computational load of profile line extraction.

This invention discloses a method and apparatus for obtaining a drone path based on video and an oblique photogrammetry model, relating to the field of computer vision technology. The method includes: acquiring a video of an area captured by the drone during flight and an oblique photogrammetry model of that area; loading the model and adjusting the projection matrix of the Cesium camera to match that of the drone's camera; adjusting the Cesium camera using the optimal pose of the drone's camera in the previous video frame so that the 3D scene rendered on the screen using the model is similar to the current video frame, and capturing an image displayed on the screen; extracting and matching feature points from the current video frame and the captured image; acquiring 3D spatial coordinates based on the matching results to construct a reprojection error model; obtaining the optimal pose of the drone's camera in the current video frame by solving the error model; and obtaining the flight path based on the optimal pose. This invention can eliminate the error accumulation problem of SLAM systems and obtain accurate trajectories.

This invention discloses a method for registering forest point clouds from UAV-LiDAR during leafy and leafless periods, relating to photogrammetry, remote sensing mapping, and forest resource monitoring. The method extracts ground points from two phases of UAV-LiDAR point clouds, constructs multi-directional radial topographic profiles, and extracts local profile segments using a sliding window. It calculates a comprehensive similarity based on trend consistency, robustness to local shape deformation, and curvature similarity, and selects stable matching segments by combining radial distance and topographic undulation amplitude consistency constraints. Three-dimensional corresponding point pairs are generated from the matching segments, and the initial rigid body transformation is solved using SVD. The registration is then optimized using ICP to obtain a multi-temporal fused point cloud. This invention can achieve reliable registration under conditions of phenological differences, missing vegetation structure, and initial biases, providing support for the reconstruction of three-dimensional forest structures and refined resource monitoring.

This invention relates to the field of photogrammetry, specifically to a method for improving the accuracy of oblique photogrammetry using a UAV. The method includes: acquiring the UAV's hardware information, environmental data, and operational data; constructing a hyperparameter space and performing gridding processing; initializing the grid density based on the environmental data and hardware information to obtain the gridded hyperparameter space; performing iterative hyperparameter search within the gridded hyperparameter space; locally adjusting the grid density during the search process and calculating target coefficients at each iteration number based on the search process; thereby determining the optimal hyperparameter matrix using the target coefficients; and controlling the UAV using the optimal hyperparameter matrix to acquire and upload image data under the optimal hyperparameter matrix. This invention effectively improves the measurement accuracy of oblique photogrammetry using UAVs.

The application discloses a kind of unmanned aerial vehicle aerial survey image real-time interpretation and ground feature marking method and system, it is related to real-time interpretation and ground feature marking field, including acquisition positioning module, visual interference module, space-time evolution module and determination processing module, by real-time acquisition multidimensional positioning solution internal data flow, in combination with the clustering and correlation analysis of characteristic curve, determine pose solution jolt event and its time window of occurrence, by analyzing the dense motion vector field between images and feature loss area, identify the causal interference domain that causes jolt, it is projected to physical space in reverse, determine risk analysis area, the multiple risk factors in this area are comprehensively calculated, generate drift risk space-time evolution prediction graph;Space-time alignment and unified mapping are carried out, and the comprehensive marking risk index of each grid is decoded, and the hierarchical response mechanism is started, to obtain the final effectiveness determination and processing of ground feature marking, fundamentally guarantee the spatial credibility and time sequence availability of marking result.

The application belongs to the field of photogrammetry, and proposes a pricking point method, device, equipment and storage medium. The method comprises: acquiring a to-be-pricked image; determining a target region in the to-be-pricked image, the target region comprising a photocontrol point and a photocontrol point identification image, the photocontrol point identification image being used for identifying the position of the photocontrol point; determining the photocontrol point identification image in the target region according to the features of the photocontrol point identification image through a neural network model, and determining the position coordinates of the photocontrol point in the to-be-pricked image according to the positional relationship between the photocontrol point and the photocontrol point identification image. Since the pricking point method provided by the application realizes automatic pricking point based on the neural network model, the position coordinates of the photocontrol point with high precision can be obtained, the manpower is reduced, the time consumption is less, and the automation degree of aerial survey indoor processing is greatly improved.

The utility model discloses a kind of multi-angle photogrammetry devices with light supplementing function belong to photogrammetry technical field, mainly solve the structure of light supplementing lamp in prior art is fixed, the irradiation position of light supplementing lamp cannot be adjusted, leading to the light supplementing range is restricted, will be due to light supplementing effect improper and affect photogrammetry operation Problem, the measuring device includes support rod, the top end of support rod is fixedly connected with connecting plate, rotating column is set on connecting plate by bearing, the top end of rotating column is fixedly connected with turntable, the top of turntable is installed with camera survey camera, the top of camera survey camera is provided with rotary damper, the top end of rotary damper is fixedly connected with rotating rod, the top end of rotating rod is provided with mounting seat, the front of mounting seat is installed with guide rail, slidingly installed with movable frame on guide rail, the top of movable frame is fixedly connected with mounting bracket, two transmission shafts are set in mounting bracket by bearing, two transmission shafts are fixedly connected with light supplementing lamp.

The application discloses a method for measuring surface accuracy of large reflector antenna at different elevations, and belongs to the technical field of large reflector antenna measurement. The method first measures the surface accuracy of the large reflector antenna at a working elevation by using a photogrammetry method, and takes the working elevation as a measurement reference of the surface accuracy at different elevations; then, the method uses a radio source method to measure noise power levels of the antenna aiming at a same radio source, a background cold space and a normal temperature load at the reference position and at different elevations by using a spectrum analyzer; since the gain deviation is caused by the different elevations of the antenna, the surface accuracy of the large reflector antenna at different elevations is obtained through a calculation formula. The method is simple and easy to implement, and has high popularization and application value.

This application relates to the field of geographic information data processing technology, and discloses a method, system, and medium for segmented storage and rapid line-of-sight analysis of oblique photogrammetry models. The method includes: extracting the three-dimensional coordinates of sampling points from oblique photogrammetry model tile files; calculating the spatial grid index of each sampling point based on latitude and longitude, and storing sampling point data belonging to the same index as a segment in a time-series database; obtaining the coordinates of the observation point and the target point and calculating the line segment connecting them, obtaining multiple interpolation points through linear interpolation of the line segment; calculating the spatial grid index of each interpolation point, locating the corresponding data segment in the time-series database, and quickly obtaining the surface elevation of that point; and determining whether the two points are line-of-sight by comparing the elevations of all interpolation points with the corresponding surface elevations. The system and medium correspond to this method. This application achieves efficient management and rapid line-of-sight analysis of oblique photogrammetry models through data reorganization and index optimization.

The utility model belongs to the field of photocontrol point board, specifically is a kind of photocontrol point device for unmanned aerial vehicle aerial survey, including photocontrol point board, the bottom fixedly connected with conical rod of photocontrol point board, the side fixedly connected with fixed strip of photocontrol point board, the side of fixed strip is provided with shielding mechanism;Shielding mechanism includes first concave block, the side fixedly connected in the side of fixed strip of first concave block;The utility model shielding plate is by located in the upside of photocontrol point board to block photocontrol point board, so that the sundries of field is not easy to accumulate to the upside of photocontrol point board, so unmanned aerial vehicle aerial survey effect will not be reduced, after motor still can be driven damping bearing and shielding plate rotation by first connecting block, so that shielding plate can rotate open, so no longer block photocontrol point board, photocontrol point board can play the role of correction and orientation to unmanned aerial vehicle aerial survey at this time, motor still can drive shielding plate reverse rotation and block photocontrol point board, so that the upside of photocontrol point board is not easy to accumulate sundries.

This utility model discloses a portable photogrammetry system calibrator, relating to the field of photogrammetry system technology. It includes a support column, with an adjusting sleeve rotatably mounted on the upper end of the support column. A support screw is rotatably mounted inside the adjusting sleeve, and the lower end of the support screw is movably inserted into the support column. A hidden structure is provided between the support screw and the support column. When the support screw is fully retracted into the support column, the first and second storage slots overlap, and the telescopic rod is fully retracted into the marking rod. The telescopic rod and marking rod can be inserted into the first and second storage slots. A connecting block fits against the inner walls of the first and second storage slots. A locking rod, under the action of a locking spring and a movable block, is inserted into a locking hole, allowing the telescopic rod and marking rod to be confined within the first and second storage slots. This allows the entire assembly to be easily retracted and folded for convenient carrying.

This invention belongs to the field of photogrammetry technology and relates to a rapid photogrammetry system and installation method for a parabolic trough solar collector support. It includes: an image acquisition device positioned above the parabolic trough solar collector support to be measured; multiple first reflective markers, each comprising a reflective coating and a circular exposed area on the surface of the reflector support component of the parabolic trough solar collector support; multiple second reflective markers detachably mounted on the ends of the parabolic trough solar collector support and on the collector tube supports of the parabolic trough solar collector support; a measuring scale spaced apart from the parabolic trough solar collector support; and a data processing device connected to the image acquisition device. This invention significantly reduces the installation work of the reflective markers, thereby significantly improving the efficiency of photogrammetry operations.

The application discloses a kind of mine subsidence monitoring methods based on unmanned aerial vehicle photogrammetry and LiDAR technology, utilize unmanned aerial vehicle to carry out flight shooting to mining area, obtain mining area surface image data;Image data obtained is handled by motion recovery structure algorithm SfM, generates digital surface model DSM, orthophoto map DOM and digital elevation model DEM;Utilize airborne LiDAR system to scan mining area, obtain the three-dimensional point cloud data of mining area surface;Differential GNSS technology is used to correct and precision improvement to LiDAR point cloud data;The digital elevation model DEM generated by unmanned aerial vehicle photogrammetry is fused with the registration of corrected LiDAR point cloud data in unified coordinate system;Fused data is handled and analyzed, constructs mining area subsidence model, realizes the dynamic monitoring of mining area surface subsidence condition.The application effectively solves the problems existing in the traditional mining area subsidence monitoring method, provides strong technical support for mine geological disaster prevention, ecological environment protection and mining area sustainable development.

The indoor modeling combined photogrammetry device disclosed by the application comprises a circular electric sliding rail, a circular first photographing guide rail is arranged above the electric sliding rail, a circular second photographing guide rail is arranged in the inner side of the first photographing guide rail, a circular third photographing guide rail is arranged in the inner side of the second photographing guide rail, the first photographing guide rail, the second photographing guide rail and the third photographing guide rail are all fixedly connected with connecting rods, and the first photographing guide rail, the second photographing guide rail and the third photographing guide rail are all hollow; the indoor modeling combined photogrammetry device can move a 360-degree camera to different photographing guide rails, thereby adjusting the distance between the 360-degree camera and an object, improving the effect of photogrammetry, and solving the problems that the existing photogrammetry device cannot adjust the distance between a camera or a camera head and a photographed object, the effect of photogrammetry is poor, and the cost is high.

This invention discloses an automatic target reporting system for underwater photogrammetry, comprising: an acquisition system including an underwater camera and an underwater projection light, the underwater projection light and the underwater camera being respectively positioned at a safe distance in front of both sides of the projected target; a triggering subsystem for controlling the underwater camera to initiate image acquisition and providing the data to a score interpretation system for display, storage, and real-time processing; and a score interpretation system including an image real-time display and acquisition system and an image data processing and score analysis system; wherein the triggering subsystem and the image real-time display and acquisition system are both connected to the underwater camera via watertight cables. This invention achieves high accuracy and efficiency in score interpretation, enabling automatic identification, automatic target reporting, and timely display of shooting scores during underwater shooting training.

This application relates to the fields of surveying and remote sensing technology, and discloses an adaptive registration method and system for oblique photogrammetry and laser point clouds. It aims to solve the problems of low registration efficiency, insufficient accuracy, and poor robustness caused by existing technologies relying on manual control points or iterative nearest-point algorithms. The method includes: acquiring oblique photogrammetry images and laser point cloud data; extracting multi-scale image structural features and point cloud geometric and semantic features respectively; constructing a cross-modal feature matching candidate set; selecting the optimal initial pose through random sampling consistency; and performing nonlinear optimization based on dual constraints of projection consistency and surface continuity to generate the final registration transformation matrix. This application achieves high-precision, fully automatic, end-to-end registration under control point-free conditions, significantly improving the efficiency and accuracy of 3D modeling in large-scale complex scenes.

This application discloses a method for dynamic assessment of resource utilization in open-pit mines using high-resolution satellite remote sensing, relating to the field of mineral resource assessment and management. The method includes: acquiring stereo image pairs of the open-pit mine using high-resolution satellite remote sensing technology; the stereo image pairs include a front view image and a rear view image; geometrically locating the stereo image pairs; completing stereo image pair modeling based on the geometric location results to obtain an oblique photogrammetry 3D modeling model; performing 3D modeling of the ore body in the open-pit mine to obtain an ore body 3D modeling model; registering and aligning the ore body 3D modeling model and the oblique photogrammetry 3D modeling model; determining the quota earthwork volume based on the registration and aligning results; and assessing the resource utilization of the open-pit mine based on the quota earthwork volume. The resource utilization includes the amount of ore and the amount of metal utilized. This application, based on high-resolution satellite remote sensing technology, enables real-time and effective measurement of the annual resource utilization of open-pit mines.

This invention discloses a data acquisition system for a survey of the current status of national land spatial planning, relating to the field of photogrammetry. By constructing a two-way geometric mapping relationship, the system transforms reflective stripe features in images into ground-domain stripe fields. Based on this, it quantifies the degree of stripe overlap and texture effectiveness in overlapping ground areas, dynamically adjusts the UAV's acquisition pose to generate collaborative acquisition tasks, and achieves spatial complementarity of reflective stripes from multiple perspectives. The system further constructs a complementary overlap evidence package to screen and select optimal image pairs, and uses stripe field intensity as a continuous weighting factor to perform robust registration of feature points and weighted fusion of multi-image reflective suppression. This invention effectively solves the problem of feature matching failure and splicing misalignment caused by wet film reflection in centralized photovoltaic power plant surveys, generating a geometrically accurate and visually consistent real-world spliced ​​base map for the current status survey.

The present technology relates to methods and systems for assessing a spatial area based on an at least one condition. The methods can include deploying an deploying an unmanned aerial vehicle (UAV) equipped with imaging technology; capturing images of a spatial area within a geographically selected region, wherein the region is selected based on data indicating potential of the at least one condition; processing the captured images to generate three-dimensional (3D) models and two-dimensional (2D) orthomosaics of the spatial area; and analyzing the generated 3D models and 2D orthomosaics using a machine learning algorithm configured to detect the at least one condition. The systems can comprise: a drone configured to capture aerial images; a computing device equipped to process the images into 3D models and 2D orthomosaics; and a machine learning module configured to analyze the models and mosaics to identify instances of the at least one condition.

The application provides a kind of two-dimensional drawing automatic generation method and system based on three-dimensional point cloud.The method includes obtaining original three-dimensional space data from multiple data sources, the data sources include laser scanning equipment, near-ground photogrammetry equipment and unmanned aerial vehicle oblique photography equipment;Original three-dimensional space data is fused by registration, and a three-dimensional point cloud model is constructed;According to the preset cutting plane, the three-dimensional point cloud model is cut to generate the corresponding depth image;Gradient operation is carried out on the depth image, and the feature line is extracted by Canny edge detection;According to the gradient amplitude of the feature line, a threshold mask is set, the feature line is classified according to the preset rule, and the classification result is filtered and matched based on the feature line obtained by edge detection, to generate the corresponding feature line layer and classified output;Based on different layer data, two-dimensional drawing is generated, and the corresponding relationship between two-dimensional drawing and original three-dimensional point cloud model is established, so that two-dimensional drawing can be traced back to any position of three-dimensional model.

The present technology relates to methods and systems for assessing a spatial area based on an at least one condition. The methods can include deploying an deploying an unmanned aerial vehicle (UAV) equipped with imaging technology; capturing images of a spatial area within a geographically selected region, wherein the region is selected based on data indicating potential of the at least one condition; processing the captured images to generate three-dimensional (3D) models and two-dimensional (2D) orthomosaics of the spatial area; and analyzing the generated 3D models and 2D orthomosaics using a machine learning algorithm configured to detect the at least one condition. The systems can comprise: a drone configured to capture aerial images; a computing device equipped to process the images into 3D models and 2D orthomosaics; and a machine learning module configured to analyze the models and mosaics to identify instances of the at least one condition.

This application relates to the field of computer graphics technology, specifically disclosing a method, apparatus, medium, and device for multi-source data loading in 3D intelligent visualization. The method includes: loading and dynamically adjusting an oblique photogrammetry model to construct an oblique photogrammetry real-world base; generating semantically coded 3D tiles data based on this base; identifying key entity objects, lightweighting their high-precision GLB / GLTF models, and dynamically embedding them into the scene; dynamically parsing and spatially overlaying the KML data associated with the key objects to construct a multi-level 3D scene information system from entity annotation to macroscopic annotations; dynamically coupling KML elements with terrain elevation data to form a high-precision digital elevation base supporting visualization; and optimizing resource scheduling of the base based on a dynamic memory partitioning mechanism to achieve an adaptive balance between terrain complexity and system load. This application can improve the accuracy, efficiency, and system stability of multi-source heterogeneous data fusion.