42 results about "Geographic Mapping" patented technology

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 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.

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.

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.

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.

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.

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.

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.

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.

This invention provides an intelligent clustering and machine learning-based intelligent remote sensing classification method and system, belonging to the field of remote sensing technology. It includes the following processes: spatial partitioning with entropy minimization as the objective, iterative optimization with connectivity and minimum size constraints, generation of non-overlapping, usable partition surfaces, partitioned random forest training, and region-by-region mask write-back, with region-level quality closed-loop control of output quality. This invention is widely applicable to scenarios such as remote sensing classification, geographic mapping, and ecological monitoring, and is particularly suitable for tasks highly sensitive to spatial patterns. It employs an adjacency-first sample supplementation and class balancing mechanism, effectively improving the identification accuracy of minority classes while maintaining the model's generalization ability, making it suitable for geographic and remote sensing classification scenarios with high class imbalance. Through in-mask local inference and batch write-back techniques, it reduces memory usage and disk I / O load, making it particularly suitable for distributed or batch processing scenarios of high-resolution remote sensing images.

The application discloses a geographic surveying and mapping data processing method and system based on big data, which comprises the following steps: collecting geographic surveying and mapping data in real time, performing intelligent format conversion, self-adaptive coordinate system unification and dynamic noise filtering preprocessing on the collected original data based on a big data processing platform to obtain pretreated surveying and mapping data; inputting the pretreated multi-source data into a shared backbone network based on an improved ConvNeXt architecture, combining the shared backbone network with a private branch network, and extracting shared features and private features of the data; fusing the shared features and the private features by using a spatial attention mechanism and a channel attention mechanism to generate a self-adaptive weighted fusion feature map; and inputting the fusion feature map into a Transformer encoder to identify an environmental state and output a geographic information recognition result. The recognition efficiency and accuracy of the geographic surveying and mapping data are improved.

1. The name of the design product: unmanned aerial vehicle load pod. 2. The use of the design product: for geographic mapping, disaster, weather monitoring and aerial photography. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: change state figure 1.

This application proposes a simulation training method, system, electronic device, and storage medium, which includes: acquiring a preset geographic mapping model, fixed virtual geographic coordinates of a virtual reference station, and satellite ephemeris data; real-time acquisition of physical coordinate data fed back by the mobile platform; converting the physical coordinate data according to the geographic mapping model to obtain the virtual geographic coordinates of the mobile station; calculating the first satellite observation data using the fixed virtual geographic coordinates based on a unified time reference and precise satellite ephemeris data, and calculating the second satellite observation data using the virtual geographic coordinates of the mobile station; generating differential correction data based on the first satellite observation data; acquiring the positioning result output by the receiver of the tested mobile station; calculating the deviation index between the positioning result and the virtual geographic coordinates of the mobile station, and generating a training evaluation report.

The invention relates to the technical field of geographic surveying and mapping, and discloses a field surveying and mapping device for forestry investigs.The field surveying and mapping device comprises a containing box, an isolating membrane is arranged at the top end of the containing box, an electric disc, an air cylinder and an adjusting structure are arranged in the containing box, dynamic sealing between the containing box and the outside is achieved through the isolating membrane, and a surveying instrument is prevented from being affected with damp; the adjusting structure and the anti-blocking structure are linked to push the shelter, the transmission structure drives the pushing arc plate and the first hooking plate to rotate to clean the barrier, the second hooking plate of the stirring structure is matched to form cleaning, moisture-proof protection and barrier cleaning can be completed without manual intervention, the clear surveying and mapping view is guaranteed, and the stability and convenience of field surveying and mapping are improved.

The invention provides an unmanned aerial vehicle and geographical surveying and mapping combined structure, and relates to the technical field of unmanned aerial vehicle surveying and mapping, and the unmanned aerial vehicle and geographical surveying and mapping combined structure comprises a charging pile, a storage battery is arranged in the charging pile, a charging port is formed in the outer part of the charging pile, an alignment landing gear is fixedly arranged at the top of the charging pile, and the top of the alignment landing gear is of an inward concave pyramid-shaped groove structure; the interior of the alignment landing gear is of a hollow structure; a marking device is arranged, the function of directly installing surveying and mapping marks through the unmanned aerial vehicle is provided, when the marking device is attached to the ground, an electric cylinder C is used for driving a pulling hook piece to move forwards, a marking circular ring at the lowest position is discharged from the front side of the marking device, then the electric cylinder C and the pulling hook piece are reset, and the marking circular rings are automatically supplemented; an electric cylinder B is started to press a sliding block to downwards press a group of polish rods, the polish rods penetrate through the middle of a marking ring to be fixed in soil, the complexity of manual installation is omitted, and the problem that an existing unmanned aerial vehicle does not have the function of directly installing surveying and mapping marks through the unmanned aerial vehicle is solved.

The application discloses a mobile terminal-based intelligent collection and classification identification method for road surface diseases, and particularly relates to the technical field of intelligent identification of road surface diseases. Through joint driving of a camera device and a positioning module, the method realizes synchronous collection of continuous image frames and track data, constructs a dynamic pairing relationship between the image frames and track points in combination with a sliding time window and a minimum time difference principle, introduces a timestamp misalignment alignment abnormality coefficient, simultaneously constructs a geographic mapping error accumulation coefficient, fuses the two types of coefficients to construct a disease space-time superposition risk assessment model, and outputs a disease space-time superposition risk assessment index, thereby realizing spatial redundancy risk measurement of the identified diseases, dynamically completing intelligent marking of superposition risk points, and accurately identifying repeated disease points through geographic distance determination and image feature vector similarity calculation based on a redundancy point fusion mechanism based on spatial consistency and image feature similarity, and dynamically updating the track positions of the repeated disease points by using a weighted fusion strategy.

This invention proposes an intelligent analysis method and system for geographic information mapping data, belonging to the field of mapping data analysis technology. The method includes: determining the area to be analyzed and acquiring geographic information mapping data; gridding the area to be analyzed into multiple spatial locations, constructing a time series, and extracting multi-dimensional trend feature vectors within different time windows based on the time series; for each spatial location, selecting final candidate neighborhoods; selecting effective neighborhoods based on the multi-dimensional trend feature vectors; interpolating the time series of the target spatial locations based on the effective neighborhoods to obtain a complete time series for each spatial location; performing spatiotemporal change pattern analysis on the complete time series, identifying spatiotemporal evolution patterns, and generating a spatiotemporal change analysis report. This invention can accurately identify and intelligently analyze the spatiotemporal evolution patterns of geographic mapping data, providing interpretable analysis results with geographical significance.

The present application 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, the system comprising: a regional feature module, a fluctuation analysis module, a spectral anomaly module, an edge adjustment module, and a classification correction module.In the present application, the gray brightness and multi-band reflectivity are extracted by dividing the region, combined with variance contrast and spectral smoothness analysis, and the dimensionality is reduced by principal component analysis to reduce redundancy and retain key features.The interval division and fluctuation frequency extraction are combined with statistical test constraints to identify potential anomalies in advance and reduce noise interference.The reflectivity difference and spectral extreme detection are combined with smoothness threshold to capture abnormal changes.The gradient direction offset and edge closure ratio monitor boundary continuity and complement the spectral detection.The aggregation degree and sparsity ratio are calculated and dynamically corrected priority to avoid bias caused by a single feature, making the classification result more accurate and stable.

The embodiment of the invention discloses a charting method and device based on intelligent fusion of aviation elements and basic geographic elements. One specific embodiment of the method comprises the following steps: acquiring an aviation geographic data set from a preset aviation area and a preset earth surface area; carrying out mapping environment building on the aviation geographic data set to generate an environment building aviation geographic data set; cartographic data processing is carried out on the environment building aviation geographic data set to generate an aviation geographic cartographic; performing layout adjustment on the aviation geographic map to generate an adjusted aviation geographic map; and sending the adjusted aviation geographic drawing to drawing output equipment to obtain an aviation geographic drawing result. According to the implementation mode, accurate scale transformation can be realized while the integrity of the geographic elements is kept, manual intervention is reduced by improving the automation degree, and the manufacturing cost is remarkably reduced.

The invention discloses a geographic surveying and mapping device with an anti-collision protection mechanism, and belongs to the technical field of geographic surveying and mapping devices.The geographic surveying and mapping device with the anti-collision protection mechanism comprises a surveying and mapping device, a rod body and a remote sensing surveying and mapping instrument; the surveying and mapping device comprises a protection frame and a movable cavity, and the remote sensing surveying and mapping instrument is slidably arranged in the movable cavity; the rod body is connected with the surveying and mapping device and comprises a triggering mechanism; the geographical surveying and mapping device further comprises a lifting mechanism which is connected with the remote sensing surveying and mapping instrument and used for lifting the remote sensing surveying and mapping instrument. The trigger mechanism is in signal connection with the lifting mechanism, and when the rod body is fixed on the mounting surface, the trigger mechanism triggers the lifting mechanism to lift the remote sensing surveying and mapping instrument, so that the remote sensing surveying and mapping instrument protrudes out of the protection frame body; when the rod body is folded, the triggering mechanism triggers the lifting mechanism to lower the remote sensing surveying and mapping instrument, so that the remote sensing surveying and mapping instrument retracts into the protection frame body. The anti-collision protection device can perform anti-collision protection on the geographical surveying and mapping device in a preventive manner.