67 results about "Geographic Mapping" patented technology

The invention provides a three-dimensional modeling and mapping method, system and device based on a fixed-wing unmanned aerial vehicle, and relates to the technical field of geographic mapping. According to the method, through synchronous data acquisition of an inclined camera, a laser scanner and a position and attitude measurement system, and in combination with navigation trajectory calculation, point cloud coordinate transformation, image attitude calculation and multi-source data fusion processing, space collaboration of image data and point cloud data is realized under a unified coordinate system. And performing aerial triangulation based on the fused data, further carrying out spatial modeling and texture mapping, and effectively improving geometric consistency and modeling continuity among multi-source data. According to the method, ground control points do not need to be arranged, high-precision and high-consistency geographic space information expression can be achieved, and real scene modeling and multi-type surveying and mapping data result generation in a large-scale mapping scene are supported.

The invention discloses a city data element platform construction method and system. The method comprises the steps of multi-source data integration and three-dimensional geographic mapping, industrial chain and enterprise dynamic matching and data visualization and decision support. And conversion from addresses to longitudes and latitudes and spatial association are realized through geocoding API and GIS technologies. And the industrial chain and enterprise dynamic matching part constructs an industrial chain atlas, and adopts an artificial intelligence model to judge enterprise nodes and optimize a matching result. And the data visualization part is used for generating industry aggregation distribution and an enterprise distribution diagram in a three-dimensional scene according to screening conditions such as project names and industrial chains, counting the number of immigration and emigration of enterprises and dynamically updating the industry aggregation distribution. According to the method, multi-source data are integrated, accurate spatial association and industrial chain atlas construction are realized, support is provided for industrial chain analysis and optimization, enterprise spatial distribution and industrial chain association conditions are visually displayed, and the method has important application value and practical significance.

The invention provides a cable path intelligent optimization method fusing a cellular automaton and an ant colony algorithm, and the method comprises the steps: obtaining a three-dimensional boundary range of a target region, constructing a three-dimensional underground space voxel model, and dividing the target region into voxel units containing five-dimensional attribute tensors; constructing and inputting the five-dimensional attribute tensor into a physical constructable potential field model, and generating a corresponding three-dimensional physical constructable potential field; performing construction scoring according to the three-dimensional physical constructable potential field and the five-dimensional attribute tensor; constructing a composite cost function in combination with the three-dimensional physical constructable potential field and the construction score, generating a composite passing cost of each voxel, and generating an optimal cable path in combination with a path search algorithm which takes an improved ant colony algorithm as a control mechanism and introduces a rule of a cellular automaton on a path state propagation structure; and performing three-dimensional geographic mapping, structure reconstruction and geometric fairing on the optimal cable path, and outputting a standardized path result.

The invention discloses a geographic positioning optimization method based on STN-YOLO and adaptive affine transformation, and relates to the technical field of geographic positioning optimization, and the method comprises the steps: employing a camera to carry out the shooting of an environment, and obtaining an original input image; performing spatial attitude alignment processing on the original input image by adopting an image pre-correction method to obtain an attitude normalized corrected image; an STN integrated YOLO target detection model is adopted to perform multi-category target recognition and bounding box regression on the corrected image subjected to attitude normalization, and a detection result with initial pixel-level coordinates is obtained; performing dynamic geometric correction on the initial pixel-level coordinates by adopting a self-adaptive affine transformation algorithm to obtain relative position information under a geographic mapping coordinate system; adopting a multi-source data fusion method to combine data of sensors such as a GPS (Global Positioning System) and an I MU (International Mobile Unit) and the relative position information to carry out collaborative filtering processing so as to obtain data after collaborative filtering; and optimizing the data after collaborative filtering, eliminating noise and abnormal values, and obtaining a global geographic positioning result.

The invention relates to the technical field of atmospheric environment monitoring, and discloses a sand and dust path monitoring system, which is characterized by comprising a data acquisition module, an image processing module, a feature extraction module, a path fitting module, a path fusion module and a geographic mapping module which are sequentially cascaded, the data acquisition module is used for receiving remote sensing data of a stationary meteorological satellite and generating a multi-time sand and dust monitoring binary image; the image processing module performs edge detection and morphological operation on the sand and dust monitoring binary image to realize accurate segmentation of a sand and dust region; the feature extraction module comprises a minimum enclosing rectangle calculation unit and an edge analysis unit and is used for extracting four types of feature points of the sand and dust area, and the four types of feature points comprise the lower right corner, the upper right corner, the right side line and the lower side line. According to the invention, by fusing edge detection, morphological operation and multi-feature endpoint identification, precise segmentation of a complex dust region and stable capture of motion features are realized, and the problem that feature points are easy to drift in a traditional method is effectively solved.

The invention discloses a pavement disease intelligent acquisition and classification identification method based on a mobile terminal, and particularly relates to the technical field of pavement disease intelligent identification, synchronous acquisition of continuous image frames and track data is realized through combined driving of camera equipment and a positioning module, and the pavement disease intelligent acquisition and classification identification method based on the mobile terminal is realized by combining a sliding time window and a minimum time difference principle. A dynamic pairing relation between image frames and track points is constructed, a timestamp dislocation alignment anomaly coefficient is introduced, a geographic mapping error accumulation coefficient is constructed, the two types of coefficients are fused to construct a disease space-time foldover risk assessment model, a disease space-time foldover risk assessment index is output, and space redundancy risk measurement of disease identification is realized. Intelligent marking of foldover risk points is dynamically completed, repeated disease points are accurately recognized through geographic distance judgment and image feature vector similarity calculation on the basis of a redundant point fusion mechanism of space consistency and image feature similarity, and track positions of the repeated disease points are dynamically updated through a weighted fusion strategy.

An unmanned aerial vehicle vibration reduction support for geographical surveying and mapping relates to the technical field of geographical surveying and mapping unmanned aerial vehicles and comprises an unmanned aerial vehicle body, a surveying and mapping assembly is arranged on the unmanned aerial vehicle body, four connecting arms are evenly arranged on the side face, propellers are arranged at the tops of the connecting arms, and supporting legs are arranged at the bottoms of the connecting arms; the lower bottoms of the supporting legs are fixedly connected with a buffering support. The buffering support comprises an outer cylinder, a supporting rod and a footstand. The top of the outer cylinder is fixedly connected with the supporting leg, the lower portion of the outer cylinder is provided with an opening, the upper end of the supporting rod extends into the outer cylinder along the opening, the lower end of the supporting rod is connected with the footstand, the portion, extending into the outer cylinder, of the supporting rod is sleeved with a piston, the outer ring of the piston is in sliding fit with the inner wall of the outer cylinder, and the space between the top face of the piston and the outer cylinder is filled with hydraulic oil. The hydraulic oil communicates with a hydraulic oil tank located on the unmanned aerial vehicle body through the oil hole. A compression spring is arranged between the top face of the piston and the top of the inner cavity of the outer cylinder. And the speed that the compression spring is extruded or rebounded is reduced under the action of the hydraulic oil, so that the effect of stabilizing vibration reduction is achieved.

The invention relates to the technical field of image classification, in particular to a geographic surveying and mapping image classification processing system and method based on big data, and the system comprises a regional feature module, a fluctuation analysis module, a spectrum anomaly module, an edge adjustment module and a classification correction module. According to the method, the gray brightness and the multi-band reflectivity are extracted through region division, variance contrast and spectral stability analysis are combined, dimensionality reduction and redundancy reduction are performed through principal component analysis, key features are reserved, constraint intensity is counted and tested through cooperation of interval division and fluctuation frequency extraction, potential anomalies are recognized in advance, and noise interference is reduced. Reflectivity difference and spectrum extreme value detection are combined to capture abnormal changes through a stability threshold value, gradient direction deviation and an edge closing proportion monitor boundary continuity and are complementary with spectrum detection, the polymerization degree and the sparse ratio are calculated, the priority is dynamically corrected, deviation caused by a single feature is avoided, and the classification result is more accurate and stable.

The invention relates to the technical field of geographic surveying and mapping, and discloses a geographic surveying and mapping method and system based on unmanned aerial vehicle remote sensing, and the geographic surveying and mapping method based on unmanned aerial vehicle remote sensing comprises the following steps: processing source domain topographic data and target domain scarce samples through a feature selective migration network, and obtaining a feature adaptability model parameter set; processing a low-resolution remote sensing image through a physical constraint generative adversarial network to obtain a high-resolution geographic feature enhanced image data set; processing the high-resolution geographic feature enhanced image data set and the feature adaptability model parameter set through a hierarchical attention network to obtain a fine-grained ground feature classification result matrix; through a small sample learning strategy of feature selective migration, a super-resolution reconstruction technology of physical constraint, a fine-grained classification method of hierarchical attention and a standardized geographic data product generation process, the dependency of surveying and mapping data acquisition on the environment is reduced, the surveying and mapping efficiency is improved, and the surveying and mapping precision is improved.

The application is suitable for the field of optical imaging technology, and provides a stereo imaging optical system for civil small unmanned aerial vehicle, which is composed of a spherical positive lens, two groups of double cemented spherical lenses, an aperture, a convex spherical mirror and a concave parabolic mirror, wherein the two groups of double cemented spherical lenses include a first double cemented spherical lens and a second double cemented spherical lens; the application can realize high-resolution imaging at multiple wavelengths, provide rich spectral information for users, and help to more accurately analyze and judge the target area. The compact design makes the system small in size and light in weight, and is very suitable for being mounted on low-altitude civil small unmanned aerial vehicle, thereby expanding the application range and operation ability of the civil unmanned aerial vehicle. The stereo imaging function can obtain three-dimensional information of the target area, and has important application value in the fields of geographic mapping and city planning, and can provide more comprehensive and accurate data compared with the traditional imaging mode.

1. Name of the product in this design: Geographical Surveying Instrument. 2. Purpose of this design: for geographic surveying. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

1. The name of the design product: unmanned aerial vehicle (UniVTOL V2200). 2. The use of the design product: used for aerial photography, agriculture, plant protection, disaster rescue, geographic mapping, environmental monitoring, logistics transportation and building inspection. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application discloses a data-driven hot updraft positioning method. For a long time, unmanned aerial vehicles have been indispensable in industries such as surveillance tasks, geographic mapping and target reconnaissance. Flight endurance is a key limitation for the widespread use of unmanned aerial vehicles. However, despite researchers' efforts to modify and optimize aerodynamic shapes to reduce glider drag or replace battery reactants, there are limitations to using these methods to improve flight endurance. The present application aims to harness the energy of nature by collecting wind energy. The present application considers estimating the updraft, then estimating the position of the wind field through a sparse identification algorithm of nonlinear dynamics. The proposed SINDy-based method and its characteristics of accurately identifying the mathematical physics specification model achieve hot positioning, improve the ability to identify hot updrafts, and increase the energy of the aircraft.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving aircraft transponder signals. Identifying, from among the aircraft transponder signals, a first aircraft transponders signal based on an identifier, wherein the identifier indicates that the first aircraft transponder signal is associated with an aircraft on which the computing system is located. Identifying first location data within the first aircraft transponder signal. Generating second location data by converting the first location data to a format recognizable by a geographic mapping application, where the second location data is readable by the geographic mapping application to permit the geographic mapping application to present a graphical representation of a geographical location of the aircraft as represented by the first location data. Providing the second location data to the geographic mapping application for presentation to a user.

The utility model discloses a novel portable knapsack for geographic surveying and mapping data acquisition, which belongs to the technical field of geographic surveying and mapping and comprises a knapsack main body, a knapsack cover arranged on one side surface of the knapsack main body, a battery compartment fixedly connected to one side surface of the knapsack cover, a mounting carrier plate fixedly connected to one side surface of the knapsack main body, and a lithium battery fixedly mounted on one side surface of the mounting carrier plate. A data collector is fixedly embedded in one side face of the battery bin, two supporting carrying plates are fixedly connected to the inner wall of the backpack body, silica gel isolation pieces are fixedly connected to the upper surfaces of the two supporting carrying plates, two sets of elastic tightening belts are fixedly connected to the inner wall of the backpack body, and two sets of connecting pieces are fixedly connected to one side face of the backpack body. By means of the two supporting carrying plates and the silica gel isolation piece in the backpack body and in cooperation with the two sets of adjustable elastic tightening belts, instruments can be flexibly fixed and classified, and mutual collision and abrasion of the instruments in the bumpy outdoor carrying process are avoided.

1. The name of the design product: rotor radar unmanned aerial vehicle. 2. The use of the design product: used for building or tunnel inspection, geographic mapping, disaster and weather monitoring, aerial photography and other work. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The present invention discloses a geographic mapping method and system based on an unmanned aerial vehicle, relating to the technical field of geographic mapping; dividing a satellite image into multiple local regions; for each local region, dividing the local region through a Voronoi diagram to obtain multiple target sub-regions, and determining the route planning of the unmanned aerial vehicle for each target sub-region; positioning each unmanned aerial vehicle according to the satellite image, acquiring the images collected by each unmanned aerial vehicle after positioning, and stitching all the collected images to obtain a local map; fusing all the local maps into the satellite image to obtain a mapping map corresponding to the target region. After dividing the satellite image into local regions and then dividing the regions through the Voronoi diagram, each unmanned aerial vehicle is only responsible for one target sub-region, which improves the overall mapping speed. The stitching of local images and the fusion of satellite images ensure the accuracy and consistency of the final result, and improve the accuracy and efficiency of the overall mapping result.

The invention discloses a big data-based geographic surveying and mapping image classification processing method and system, and the method comprises the steps: obtaining a satellite remote sensing image, an unmanned aerial vehicle aerial image and laser radar point cloud data, constructing a multi-source heterogeneous image data set, carrying out the denoising, coordinate alignment and format standardization processing of the data through a Spark distributed calculation framework, and obtaining a multi-source heterogeneous image data set; the method comprises the following steps of: processing a remote sensing image and an aerial image through a CNN (Convolutional Neural Network), modeling a spatial topological relation of point cloud data by utilizing a GNN graph neural network, capturing adjacency and dependency characteristics among ground objects, and aligning the image and point cloud characteristics through a cross-modal attention mechanism; and performing coarse-grained classification on the ground features based on a hierarchical classification strategy according to the fused feature vector, and then performing fine-grained classification to obtain a classification result. And the accuracy and efficiency of geographic surveying and mapping image classification are improved.

The invention relates to the technical field of geological disaster monitoring, and discloses a geographic surveying and mapping method and system based on an unmanned aerial vehicle, and the geographic surveying and mapping method based on the unmanned aerial vehicle comprises the steps: achieving the stable work of a sensor in an extremely low temperature environment through adaptive sensor temperature compensation and performance enhancement; a plateau special power system is adopted, so that the loading capacity and cruising ability of the unmanned aerial vehicle in rarefied air are improved; an anti-interference multi-mode communication system is utilized to ensure the reliability of data transmission; through the intelligent hybrid energy management system, the problem of energy supply in a polar region environment is solved; real-time data analysis and early warning are carried out based on the edge AI processing unit; a self-repairing maintenance mechanism is introduced, so that the system reliability is improved; the plateau snow mountain geological disaster monitoring system realizes a breakthrough from extensive type to precise and intelligent type in plateau snow mountain geological disaster monitoring, improves the monitoring precision and reliability, and has important practical value.

This invention discloses a target positioning method, apparatus, device, and medium for optical observation. The target positioning method for optical observation collects and caches the relative distance and azimuth of the target using optical observation equipment. Upon detecting a target locking signal triggered by the type or usage of the carrying equipment, the data is immediately frozen and transmitted wirelessly to a mobile terminal. The mobile terminal combines the received data with its own positioning module's current location, calculates the target's geographic coordinates using a geodetic model, marks the location on a map interface, and generates a navigation path. This achieves automatic target location locking and geographic mapping after firing, effectively solving the problems of difficulty and low efficiency caused by the large difference between thermal imaging field of view and the actual landscape, requiring manual GPS repositioning in existing technologies. It significantly improves the accuracy and convenience of target search after long-range nighttime firing.

The present invention relates to the technical field of geographic information processing, and specifically to a geographic mapping method and system based on an unmanned aerial vehicle, comprising the following steps: acquiring the point cloud data and the vectorized boundary data of aerial survey of the unmanned aerial vehicle, calculating the spatial distance to screen adjacent points, and constructing a topological adjacent point set. In the present invention, the construction of the topological adjacent point set is optimized through the spatial screening of the point cloud data and the vectorized boundary data, reducing data redundancy and improving the structural rationality of the mapping result. The projection difference analysis is combined with the point cloud density to screen out abnormal data, realizing the accurate identification of the conflict area. The shortest path calculation optimizes the connection between the conflict points and the boundary points, reducing path redundancy and improving the spatial consistency of the mapping data. The fitting error screening adjusts the boundary points, enhancing the stability of the mapping boundary. The closure calculation is combined with the topological weight optimization to improve the integrity of the regional mapping and the boundary connection quality, making the mapping result more standardized in terms of spatial distribution and connectivity.

The present invention relates to a method for decoding three-dimensional spatial data from a bitstream to reconstruct a point cloud. This method is particularly suitable for point clouds captured by a spinning Light Detection and Ranging (LiDAR) system equipped with multiple sensors. The process involves receiving a bitstream that contains frame information for a sequence of frames, with each frame representing point cloud data at a specific point in time. For the initial frame in the sequence, the method includes obtaining the frame information and determining the points of the point cloud based on its encoded data. For subsequent frames, the method involves obtaining the frame information and then determining the points of the point cloud based on the information from at least one previously obtained frame. This invention is particularly useful in applications requiring accurate and efficient processing of 3D spatial data, such as in autonomous vehicle navigation, geographic mapping, and environmental monitoring, where detailed and dynamic representations of the environment are crucial.

1. Name of the product in this design: Geographical Surveying Instrument. 2. Purpose of this design: An instrument used for surveying and mapping geography. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to the technical field of geographic surveying and mapping and road maintenance, in particular to a geographic space analysis inspection system, which comprises the following steps of: performing equal-length segmentation on a road according to the length of a mountain road, and calculating a first environmental danger coefficient and a second environmental danger coefficient of the segmented road by adopting a space statistical analysis method; calculating an environment danger level through the first environment danger coefficient and the second environment danger coefficient; various influence data of the road after segmentation are obtained, the target risk degree of the road is calculated in combination with the environmental risk level, the road segments after segmentation are sorted according to the target risk degree, and the unmanned aerial vehicle conducts routing inspection according to the sorting sequence and shoots road video data. And inputting the video data into a highway recognition model to recognize whether cracks and marking colors on a highway pavement are light or defective and whether a safety sign is intact, obtaining the maintenance priority of the current road section according to the features obtained by the image data and the target risk degree of the segmented current road section, and performing corresponding processing according to the priority sequence.

The utility model relates to the technical field of geographic surveying and mapping, in particular to a high-precision laser ranging calibration device for geographic surveying and mapping, which comprises a main frame, a detector and a lifting device, the detector is placed on the surface of a mounting plate, the mounting plate is placed on the surface of the main frame, and the lifting device is arranged on the surface of the main frame and comprises a driving motor. The driving motor is fixedly connected with the surface of the main frame, the driving end of the driving motor is fixedly connected with an adjusting rod, the lower surface of the mounting plate is fixedly connected with an adjusting sleeve, the adjusting sleeve is slidably connected with the surface of the main frame, a threaded hole is formed in the surface of the adjusting sleeve, and the adjusting rod is in threaded connection with the surface of the threaded hole. The surface of one end of the mounting plate is fixedly connected with two symmetrically-arranged sliding blocks. According to the laser range finder, the lifting device is arranged, so that the calibration precision of the calibration device can be effectively improved, the detector is prevented from being influenced by obstacles during laser range finding, and the range finding precision of the laser range finder is further improved.

The present invention relates to an intelligent geographic mapping data processing and analysis method and system, belonging to the field of data processing, including: sequentially preprocessing, data registration, and data fusion of multi-source geographic mapping data to generate a regional standard mapping image; extracting significant features from the regional standard mapping image to obtain a set of local significant mapping images; based on a convolutional neural network, traversing and comparing the set of local significant mapping images with a historical set of local significant mapping images for deviation to output a mapping deviation data set; inputting the mapping deviation data set into a flood spread prediction plug-in to output a flood spread prediction result. Through the present application, the technical problem in the existing method that due to the inability to effectively perform data fusion and feature extraction, the accuracy and efficiency of data processing are insufficient, resulting in poor accuracy of flood spread prediction can be solved, and efficient data fusion and registration can be achieved, achieving the effect of improving the accuracy and reliability of flood spread prediction.

This invention relates to the field of geological disaster monitoring technology and discloses a UAV-based geographic mapping method and system. The UAV-based geographic mapping method includes: achieving stable sensor operation in extremely low-temperature environments through adaptive sensor temperature compensation and performance enhancement; employing a plateau-specific power system to improve the UAV's payload and endurance in thin air; utilizing an anti-interference multi-mode communication system to ensure data transmission reliability; solving energy supply problems in polar environments through an intelligent hybrid energy management system; performing real-time data analysis and early warning based on an edge AI processing unit; and introducing a self-repairing maintenance mechanism to improve system reliability. This invention achieves a breakthrough in monitoring geological disasters in plateau snow-capped mountains from an "extensive" to a "precise and intelligent" approach, improving monitoring accuracy and reliability, and has significant practical value.

The application discloses a kind of measuring device and method, it is related to geographic mapping technical field, including pedestal, outer ring, inner ring and angular velocity measuring instrument, pedestal includes pedestal main body, first dial and support column, first dial rotation is set on pedestal main body, support column rotation is set on pedestal main body, north direction pointer and east direction pointer are fixedly arranged on the one end of support column close to pedestal main body, the other end of support column is rotationally connected with the fixed shaft of outer ring, outer ring can rotate around fixed shaft, and angle reading device is arranged on fixed shaft, angle reading device can read the rotation angle of fixed shaft, inner ring is rotationally connected with outer ring by inner ring shaft, inner ring shaft is rotationally connected with outer ring with inner ring fixed connection, angular velocity measuring instrument is fixedly arranged on inner ring.The measurement method of the application is implemented using the measuring device described above.The present application can more accurately measure the latitude of current position and local north direction, and is not susceptible to electromagnetic interference.