880 results about "Boundary line" patented technology

The invention relates to the technical field of visual navigation, in particular to a robot navigation method based on vision, which comprises the following steps: acquiring a grayscale image to extract dynamic point locations, screening boundary features to reconstruct a feature set, calculating gradient change to generate candidate guide points, converting coordinates to construct a path track set, and outputting a navigation planning path. According to the method, rapid elimination of static backgrounds is realized through difference threshold selection, dynamic region extraction accuracy is effectively improved, combined screening of boundary line feature point frequency and average feature density is combined, key feature stability is enhanced, and the identification capability of image local structure mutation is enhanced by using a variance change rate of a gradient amplitude sequence. Robustness of path guide point extraction is improved through judgment of an abnormal section, dynamic construction of a path track is realized by means of continuous time integration of image coordinates, path identification precision and spatial positioning continuity are optimized, and continuity, precision and real-time performance of navigation path planning are improved.

The invention discloses an edge spraying compensation control method based on intelligent visual feedback. The method comprises the following steps: performing space scanning on a to-be-sprayed workpiece to obtain spraying image data, and establishing a space corresponding relation between a spray gun motion coordinate and a workpiece surface coordinate; registering the real-time spraying image by using the corresponding relation, identifying a geometric boundary line, brightness gradient change and a coating adhesion area of the edge of the workpiece, and generating edge feature data; according to the difference between the edge feature data and the target spraying image, the spraying coverage deviation and the boundary overlapping error are calculated, the coating thickness change trend, the optical density change rate and the boundary direction offset are extracted, and the spraying gun posture adjustment amount, the spraying distance correction amount, the spraying pressure correction amount and the path speed correction amount are generated; the angle, the spraying distance, the pressure and the movement speed of the spray gun are dynamically adjusted according to the parameters; according to the method, real-time visual feedback and self-adaptive compensation control in the spraying process are achieved, and the uniformity and consistency of the coating on the edge of the workpiece are effectively improved.

The invention discloses an image edge cutting method and device based on boundary detection, equipment and a storage medium, and relates to the technical field of image boundary detection, and the method comprises the steps: carrying out the preprocessing of an original image, and obtaining a target image; determining a scene type of the target image; based on an edge detection strategy corresponding to the scene type, performing edge detection on the target image to obtain an edge image; performing straight line detection on the edge image to obtain a plurality of candidate straight line segments; and based on a boundary positioning rule, determining a target boundary line segment from the plurality of candidate straight line segments, so as to carry out edge cutting on the original image according to the target boundary line segment. According to the invention, a more reliable image edge cutting effect can be generated.

A motion control method for an adaptive self-reconfigurable pipeline robot based on environmental perception includes: acquiring internal images of the pipeline for scene recognition, segmenting planar surfaces and curved surfaces in the images according to recognition results, and extracting boundary lines of the pipeline; calculating a straight-pipe width, a bent-pipe curvature, a slope angle, and a step height to analyze passability of the robot; designing a path planner and a swing-arm planner to generate a reference trajectory and a swing-arm angle sequence of the robot, performing smoothing, and inputting the reference trajectory and the swing-arm angle sequence into a model predictive control (MPC) motion controller; estimating a position and state of the robot through an Error State Kalman Filter (ESKF) algorithm, and inputting estimation results and collision warning signals into the MPC motion controller; and finally outputting a signal for control of a motor and a swing-arm motor.

The invention discloses a farmland furrow three-dimensional point cloud data correction method and system based on a laser radar, and relates to the technical field of three-dimensional image processing based on the laser radar, in particular to a three-dimensional image geometric correction technology. The problems that original point cloud data directly obtained under the dynamic operation condition of an existing agricultural machine has geometric distortion, and the shape of a furrow cannot be truly reflected are solved; meanwhile, the problems that furrow quality evaluation seriously depends on low-efficiency manual means, the adaptability of an existing automatic technical scheme to an unstructured field environment is insufficient, and robust, real-time and high-precision perception of a real three-dimensional shape of a furrow cannot be achieved are solved. According to the method, dynamic tilt correction is carried out through real-time acquisition of point cloud and agricultural machine attitude information, boundary feature points are extracted, boundary lines are fitted, and a three-dimensional point cloud set of a single furrow is reconstructed by fusing a self-adaptive clustering algorithm of spatial prior. The method is suitable for the fields of farmland tillage and soil preparation quality detection, precision agricultural management, agricultural machinery intelligent operation and the like under the dynamic operation condition of agricultural machinery.

The invention discloses a water area and resource quantity monitoring and predicting method and system based on a remote sensing technology, and belongs to the technical field of water resource monitoring. The method comprises the following steps: determining a water area range according to historical data of a research area and an on-site survey condition, and determining a research area range; the method comprises the following steps: respectively acquiring ground data and water depth and water surface elevation data by using an unmanned aerial vehicle and an unmanned ship, respectively processing to obtain a land DEM and a water area DEM, and fusing to form an all-terrain DEM; downloading satellite image data of the research area, and performing geographical registration on the satellite image data; in the geographically registered satellite image data, describing the boundary of the water area through visual interpretation; superposing the water area boundary to an all-terrain DEM, obtaining the elevation of each point on the water area boundary line, calculating the average elevation of the water area boundary, and calculating the water area and the water resource amount to obtain the historical water area and the water resource amount; and on the basis of the obtained historical water area and water resource quantity, utilizing an ARIMA model to predict future water resource quantity and water area.

The invention relates to the technical field of road detection, in particular to an intelligent road disease detection method and system based on a three-dimensional ground penetrating radar, and the method comprises the steps: obtaining and processing three-dimensional radar data, and obtaining a horizontal section image in the depth direction and vertical section images of a plurality of channels in the measuring line direction; determining the boundary position of the underground structure layer; selecting a horizontal slice image with a corresponding depth according to the boundary position, and inputting the horizontal slice image into a first disease detection model to obtain a preliminary disease candidate area; mapping the preliminary candidate region to a vertical profile image, intercepting a local vertical profile image of each channel, and inputting the local vertical profile image into a second disease detection model to obtain disease category information; fusion decision is carried out based on the transverse position of the candidate area and the disease category information of each channel, a final disease type is determined and is associated to the candidate area, consistency of disease positioning and type judgment is realized through cooperative utilization of the horizontal section image and the multi-channel vertical section image, and the accuracy and stability of detection are improved.

The invention discloses a stratigraphic water content layering inversion method based on a shallow seismic full waveform, and relates to the technical field of geophysical exploration data processing, and the method comprises the following steps: 1, under the same survey line condition, synchronously obtaining a seismic wave full waveform, complex impedance and an induced polarization frequency spectrum; 2, constructing a layered initial model containing a layer boundary line and an in-layer water content initial value; based on the layered initial model, executing dual-domain quantile alignment interface keeping iteration until convergence, and obtaining a final layer boundary line and an in-layer water content field; the double-domain quantile alignment interface maintaining iteration comprises the following steps: updating an in-layer moisture content field and a layer boundary line according to a seismic wave full waveform; and performing total variation regularization processing on the updated in-layer water content field to maintain the transition characteristic of the layer boundary line. According to the method, an efficient and reliable solution with actual guidance value is provided for mineral resource exploration, geological structure detection, groundwater survey and engineering geology evaluation.

The invention provides a geological envelope body automatic generation method. The method comprises the following steps: defining a target work area; performing sparse horizon picking of a top interface and a bottom interface on the geological envelope in the defined target work area to determine a top interface horizon, a bottom interface horizon and corresponding top interface and bottom interface data; based on the grid positions corresponding to all the pickup point positions of the top interface horizon and the bottom interface horizon, according to the range of the top interface data and the range of the bottom interface data, boundary lines of the geological envelope body at the top interface and the bottom interface in the target work area are determined; determining horizon depth values in all grid points of the top interface and the bottom interface; constructing a top interface boundary constraint and a bottom interface boundary constraint according to the horizon depth value and based on boundary lines of the geological envelope body at the top interface and the bottom interface to determine an intersection point between the top interface and the bottom interface of the envelope body so as to optimize the boundary lines of the geological envelope body at the top interface and the bottom interface; and generating a three-dimensional visualization model of the geological envelope based on the optimized boundary line.

The invention discloses a curtain wall refined model generation method and system, and relates to the technical field of building model generation, and the method comprises the steps: collecting multi-source heterogeneous data of a target building, generating a curtain wall boundary line according to a building contour line, carrying out the segmentation parameter bidirectional dynamic adjustment and adaptive segmentation spline interpolation of the curtain wall boundary line, and generating a basic curtain wall basic surface; the method comprises the following steps: constructing a basic three-dimensional geometric model, generating an initial lattice surface, constructing a thermal response model by combining the basic three-dimensional geometric model, material characteristic data and thermal response data, obtaining thermal characteristic data of each region, optimizing the lattice surface of the basic three-dimensional geometric model according to the thermal characteristic data, and generating a three-dimensional geometric model. Performing automatic grouping and panel generation operation on the three-dimensional geometric model; and performing multi-modal feature fusion on the three-dimensional geometric model, the thermal feature data and the material feature data to generate a three-dimensional curtain wall refined model, and performing multi-physical field coupling verification on the three-dimensional curtain wall refined model, so that the curtain wall model generation efficiency and precision are remarkably improved.

Provided is a parking assistance device including a captured image acquisition unit imaging a road surface around a vehicle and an end detector detecting an end of a ground object on the road surface within a detection area in the captured image. A position calculator calculates position information indicating a positional relationship of the end of the ground object. A boundary line determiner determines whether or not a ground object having the end is a boundary line that defines a parking slot for the vehicle. A removal unit determines whether or not a rear end of a ground object determined as the boundary line by the boundary line determination unit is included in a removal range, determines that a ground object determined as the boundary line is not the boundary line when the rear end is included in the removal range, and excludes the ground object from boundary lines.

To provide a three-dimensional geological model correction device, method, and program that can quickly and effectively correct a three-dimensional geological model using strata information obtained from face observation.SOLUTION: A three-dimensional geological model correction device comprises: three-dimensional geological model generation means 30 for generating a three-dimensional geological model of a construction target including three-dimensional coordinates and three-dimensional stratum boundary data based on previously acquired stratum information of the construction target; face image acquisition means 21 for acquiring a face image of an already excavated area; face coordinate acquisition means 22 for acquiring three-dimensional coordinates of the face image; two-dimensional stratum boundary data extraction means 23 for extracting two-dimensional stratum boundary data from the face image; identical boundary extraction means 40 for extracting identical boundaries based on proximity of three-dimensional coordinates of boundary lines constituting the three-dimensional stratum boundary data and the boundary lines constituting the two-dimensional stratum boundary data; and three-dimensional stratum boundary data correction means 50 for correcting the three-dimensional stratum boundary data based on the two-dimensional stratum boundary data related to the extracted identical boundaries.SELECTED DRAWING: Figure 1

The invention discloses an injection mold for multicolor injection molding and a production process thereof, a set of machine vision on-line inspection system with pattern detection and surface flatness detection is integrated, pattern detection is performed on a specific part of a formed part A through optical screen detection, horizontal and vertical coordinates of an actual contour are compared with a preset range, and the pattern of the specific part A is detected. Then, the surface flatness of the part is objectively evaluated by analyzing reflected light distribution on the surface of the part, whether a qualified matrix is provided for second injection or not is judged, and key quality attribute judgment on the intermediate product A before second injection is achieved; according to the method, the waste of raw materials, energy and working hours caused by the fact that known waste products continue to be subjected to second injection is effectively prevented, meanwhile, the position precision and visual definition of final multi-color products at the joints of different colors are guaranteed, the defects of boundary line distortion, blooming and the like are overcome, and the production yield and the resource utilization rate are remarkably increased.

The invention discloses a dynamic simulation system for cloning a plant competition relationship under an invasive habitat, and particularly relates to the technical field of environmental protection, and the system comprises the following modules: a habitat space occupation definition module, a neighborhood expansion cost accounting module, an interspecific crisscross zone identification module, a crisscross zone displacement dynamic quantification module, and a community competition steady state determination module. According to the method, space occupation intensity is established based on overground and underground biomass, weighted integration is carried out on a stolon expansion path in combination with soil compactness, physical rejection cost is systematically quantified, the space is used as a competitive resource, growth inhibition of cloned plants under the situation that resources are sufficient but the space is limited is simulated, and the method is suitable for large-scale popularization and application. By calculating the average propulsion speed and the disturbance variance of the boundary line, the system can accurately capture the stagnation, propulsion or local stiffness state of the invasion frontal surface, and provides a judgment basis which is more dynamic for the competition end and is based on the space frontier.

1. Name of this design product: Body of the adapter bracket. 2. Purpose of this design: The overall product of this design is used to connect a massager and to fix external massager accessories as an adapter bracket; the protected part of the design serves as the main body of the massager adapter bracket. 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 rendering 1. 5. Other situations requiring explanation: This design patent seeks protection for a portion of the product's appearance. The solid lines indicate the portion for which protection is sought, while the dashed lines indicate portions that do not constitute the part of the design for which protection is sought. The dashed lines shown in each view represent the boundary lines between the parts of the product that need to be protected and other parts.

The invention belongs to the technical field of three-dimensional point cloud processing, and discloses a live-action three-dimensional point cloud AI automatic extraction method and system, and the method comprises the steps: carrying out the scanning through a laser radar, collecting the point cloud data of an external vertical face and a roof of a building, and obtaining an original point cloud; preprocessing the original point cloud to obtain a preprocessed point cloud; based on the preprocessed point cloud, extracting a plane segment set and a vertical plane set; based on the plane section set, extracting a roof edge line, a top surface outer boundary of the parapet wall and a top surface inner boundary of the parapet wall; calculating a roof edge height based on the roof edge line; and based on the roof edge height, the top surface outer boundary and the vertical plane set, determining an outer boundary line of the parapet wall, and obtaining a parapet wall point set after analysis. According to the method, the key technical challenge on parapet wall extraction in building point cloud refined segmentation is overcome, and a solid technical guarantee is provided for high-precision three-dimensional reconstruction and digital management.

The application discloses a plain area quaternary stratum automatic division method and system, relates to stratum division, and comprises the following steps: preliminarily dividing strata and calculating the elevation of the boundary line of each major quaternary layer; setting the stratum number of each drill column; according to indoor test data and test data proportion threshold, the initial drill stratum is corrected for the first time; the first corrected drill stratum is cut by using in-situ test data and the thickness threshold of thick sand and gravel stratum; according to the filling stratum lithology merging information, the quaternary stratum and the recent deposition stratum lithology merging information, the interbedding coefficient threshold and whether the interbedding coefficient merging stratum parameter is used, the cut drill stratum is merged; according to the elevation of the boundary line of each major quaternary layer, the stratum number of the drill column in the merged drill stratum is corrected for the second time. The application realizes the automatic stratum division technology of the plain area stratum based on field drilling, indoor test and in-situ test.

The invention relates to a two-dimensional and three-dimensional boundary point association method based on improved boundary point coding and a medium, and the method comprises the steps: carrying out the preprocessing of original land parcel red line data, sequentially numbering land parcels, converting all the land parcels into plane boundary point elements, determining a first boundary point in each plane boundary point element, processing each land parcel into a clockwise land parcel, and carrying out the coding of the clockwise land parcels. Performing two-dimensional boundary point continuous numbering on all vertexes of the land parcel, taking the land parcel after encoding the two-dimensional boundary points as a two-dimensional surface element, and converting the land parcel into a land parcel three-dimensional stereoscopic model comprising three-dimensional boundary points, boundary lines and boundary surfaces; and continuously numbering all the three-dimensional boundary points in sequence by using a cross section analysis method to obtain a land block after coding the three-dimensional boundary points, and establishing an association relationship between the three-dimensional boundary points with successfully matched coordinates and the corresponding two-dimensional boundary points. Therefore, automatic coding of the three-dimensional boundary points of the land parcel red line data and automatic association between the two-dimensional boundary points and the three-dimensional boundary points are realized, and the three-dimensional boundary point management efficiency in land parcel management is improved.

The invention relates to a personalized cap body digital jet printing method based on a three-dimensional curved surface model in the technical field of intelligent manufacturing, and the method comprises the steps: obtaining cap body three-dimensional scanning data, and processing the data through a curved surface reconstruction algorithm to obtain a complete three-dimensional curved surface model; wherein the model comprises geometric features of all curvature change areas for subsequent analysis; calculating a local curvature value of each area according to the three-dimensional curved surface model, determining a curvature change distribution diagram by adopting a Gaussian curvature calculation method, and marking a boundary line of a high-curvature area and a low-curvature area in the distribution diagram to guide pattern adjustment; and nozzle movement track data is extracted from the diffusion control parameter set, a three-dimensional printing path is generated through a path planning algorithm, and the path ensures that movement of a nozzle on a curved surface is synchronous with curvature change so as to avoid position deviation.

The invention relates to the technical field of edge detection, and discloses an AI-based goods stack edge detection method and system. The method comprises the following steps: scanning a target cargo stack area by using radar equipment carried by an unmanned aerial vehicle to obtain three-dimensional point cloud data, and performing coordinate system conversion, denoising and down-sampling processing on the data; ground detection is carried out on the representative three-dimensional point cloud data, a ground plane where the ground is located is identified, and points, located above the ground plane, in the representative three-dimensional point cloud data are divided into cargo stack candidate areas; selecting a certain point from the cargo stack candidate area as a seed three-dimensional point, setting a classification condition, classifying the three-dimensional points meeting the classification condition into the current growth cargo stack area until the three-dimensional points meeting the growth rule do not exist, and taking the finally obtained growth cargo stack area as a final cargo stack area; and detecting and classifying the contour boundary points of the goods stack, and performing fitting after optimization processing to obtain an accurate contour boundary line. The method can improve the accuracy and efficiency of goods stack edge detection, and is suitable for various complex scenes.

The invention relates to the technical field of building models, in particular to a BIM-based building construction drawing design model construction method. The method comprises the following steps: extracting three-dimensional space coordinates and construction attributes of a component from a preset BIM building design model, wherein the construction attributes comprise layered material information of the component and the material thickness of each layer; projecting the three-dimensional space coordinates of the component to a two-dimensional view plane to generate a two-dimensional projection contour; calculating the vertical distance from the component to the view plane, and determining the display level of the component according to the size of the vertical distance; and identifying a construction node position on the two-dimensional projection contour, matching the construction node position with the construction attribute, and generating a detailed drawing index mark at the construction node position according to a matching result. According to the space distribution and the sideline direction of the blank area, the size marking lines are automatically generated, the reasonable spacing is kept, and the problems of shielding and overlapping are avoided.

The invention provides a cultivated land occupation state monitoring method, device and equipment and a medium, and the method comprises the steps: obtaining multi-temporal video image data and a cultivated land distribution reference map of a target monitoring region, and obtaining the distribution information of cultivated land; extracting a boundary line of a cultivated land area and a non-cultivated land area in the video image data of each time phase to obtain spatial position change data of the boundary line; analyzing the boundary feature set of each time phase according to the time sequence, identifying an abnormal region of boundary change, and further obtaining change data of the abnormal region; comparing and analyzing the abnormal region change data with the multi-temporal cultivated land distribution reference map to obtain a comparison result; extracting the morphological characteristics and the expansion direction of the abnormal region; simulating the future boundary change of the abnormal region, generating a prediction distribution diagram of the potential occupation range, obtaining the influence range of the abnormal region, and obtaining a monitoring result. According to the invention, the continuity and accuracy of monitoring the land occupation state can be improved.

The invention discloses a farmland boundary automatic identification method of an agricultural unmanned aerial vehicle, and relates to the technical field of boundary identification. Comprising the steps of constructing a density gradient distribution diagram of farmland region crops; according to the density gradient distribution diagram, a density variation rate is extracted in a sliding mode in the image, whether a continuous boundary trend exists or not is judged, and continuous structure mutation points are gathered to form candidate boundary line segments; according to the positions of the candidate boundary line segments, carrying out region division by using the gray texture uniformity in the low-altitude multispectral image, setting an air-ground reference region template, carrying out rapid matching on the divided regions, and judging and marking the corresponding candidate boundary line segments as first-level credible boundaries; and performing structural connection on all the candidate boundary line segments marked as the first-level credible boundaries, generating a boundary segment sequence, and outputting a final boundary diagram. According to the method, the position of the farmland boundary in the image can be accurately identified, and stable boundary judgment can be realized even under the condition that different crops and plots are connected or local blur exists.

The invention discloses an unmanned rice transplanter operation path planning method, system and device and a medium, and relates to the technical field of agricultural machinery, and the method comprises the steps: obtaining boundary vertex coordinates of a to-be-transplanted field, and generating an internal reciprocating operation part boundary line through a boundary retraction method; and calculating the operation row number and the target row spacing according to the operation row number and the target row spacing, generating an intersection point of a seedling claw reciprocating operation straight line and a target boundary, performing extension and projection to obtain an internal reciprocating operation part operation path line, performing external expansion correction on an internal boundary line to form an outer ring sealing path, and combining the outer ring sealing path into a final path set. The single pair of seedling claws can be used as a minimum unit, unmanned seedling transplanting operation can be completed in any special-shaped field at a time, the invalid driving mileage is remarkably reduced, and the operation efficiency and quality are improved.

The invention provides a river surface floating object monitoring method and system based on an unmanned aerial vehicle, and belongs to the field of water environment protection monitoring, and the method comprises the steps: obtaining the river bank boundary line data of a target region, and constructing a river bank model through the river bank boundary line data; obtaining laser radar point cloud data, visible light image data and infrared thermal imaging data by utilizing unmanned aerial vehicle cruise based on the river bank model; fusing the visible light image data and the infrared thermal imaging data to obtain fused image data; and determining the river surface floating object by using the fused image data and the laser radar point cloud data. The appearance characteristics of the floating object can be determined by means of the image, key information such as the position and the size of the floating object can be accurately obtained by means of the point cloud data, and the accuracy of monitoring the floating object on the river surface is greatly improved.

The invention provides an orchard robot collision avoidance track method based on a multi-modal algorithm, and aims to solve the problem of high vehicle branch collision risk caused by narrow fruit tree walkway channel and lateral invasion of tree crowns and branches, and the orchard robot collision avoidance track method based on the multi-modal algorithm is provided. Fusing a front sensing trail rectification strategy to generate a branch collision risk value, a danger direction mark and an avoidance sequence, and setting a risk threshold value associated with a safety transverse margin; the method comprises the following steps of: expanding according to a sequence under traffic constraint, rejecting over-threshold actions, generating a candidate track fitting a side line, selecting a main track according to a fitting degree threshold value, performing transverse correction in combination with a crown edge distance threshold value, finally forming a track, and outputting a steering and speed instruction. According to the method, the track which is continuous in curvature, meets the safety transverse allowance and does not enter the dangerous direction can be generated in the short-distance front range, the branch collision risk is reduced, and the traffic safety and trafficability of the orchard robot in the walkway are improved.

The invention relates to a point cloud boundary segmentation method and system for a tooth color three-dimensional digital model, and the method comprises the steps: carrying out the gamma correction of a tooth HSV color model, and obtaining a point cloud with the local contrast enhancement of a V channel of an original point cloud HSV color model, and a seed point as a boundary line; obtaining and calculating the similarity between each field point and the seed point according to the feature information of field points in a certain field range of the seed point, and taking the points of which the similarity is greater than a preset similarity threshold as boundary points of the boundary line; after performing quality evaluation on the boundary points of the boundary line, dynamically adjusting the weight of gamma correction until the boundary points of the boundary line under the optimal quality evaluation are obtained; and obtaining a closed boundary line according to the finally obtained boundary line points. The method fully reduces noise interference by fusing multiple features such as color, normal and curvature, effectively improves the accuracy and stability of boundary segmentation in combination with dynamic weight, reduces the cost of manual parameter adjustment, and is suitable for point cloud data under different illumination and geometric conditions.

The invention relates to a road boundary line detection method and device, a vehicle and electronic equipment, and relates to the technical field of vehicles, in particular to the technical field of intelligent driving. The reference boundary line comprises a radar detection boundary line or a foresight detection boundary line; screening candidate fitting points from the radar detection points based on the reference boundary line; the transverse distance between the candidate fitting point and the reference boundary line does not exceed a distance threshold value; performing curve fitting based on the candidate fitting points to obtain a boundary fitting line; and fusing the reference boundary line and the boundary fitting line to obtain a road boundary line. Through optimization of a multi-sensor fusion technology and an environment sensing algorithm, the robustness and reliability of the intelligent driving system in a curve environment are remarkably improved, and safe and stable operation of a vehicle is ensured.

Disclosed is a method for extracting a boundary line of on-year and off-year moso bamboo forests based on Sentinel-2 remote sensing data, and relates to the technical field of forestry remote sensing. The method includes classifying remote sensing images to acquire spatial distribution of three land type results, the three land type results including several on-year moso bamboo forests, several off-year moso bamboo forests and other vegetations between the on-year and off-year moso bamboo forests; extracting an initial boundary line of the on-year and off-year moso bamboo forests according to spatial distribution of three land type results; building a buffer region of the initial boundary line, and acquiring intersecting pixels of the buffer region and the spatial distribution of three land type results; and calculating pixel thresholds by using the intersecting pixels, and acquiring a final boundary line of the on-year and off-year moso bamboo forests. Using the above method can accurately obtain the boundary line between on-year and off-year of moso bamboo forests.

The embodiment of the invention provides a synthetic data field adaptation-based point cloud road boundary extraction method and system, and relates to the technical field of computer vision. According to the method, after mobile laser scanning point cloud data is obtained, a road surface point set is obtained through random sampling in the point cloud data, and the road surface point set is subjected to transformation processing to obtain a simulation road section sample. Self-adaptively selecting a pseudo label through feature reconstruction and a selection function according to a simulation road section sample, and performing depth alignment on the source domain feature and the target domain feature to obtain a double-layer alignment feature; and calculating a semantic segmentation result of the double-layer alignment feature by using the prediction model, and fitting the semantic segmentation result into a complete road boundary line. According to the method, the sample generation strategy can be optimized based on the structure priori knowledge of the road boundary, so that a large number of simulation road section samples with high-quality annotation are generated, the influence of insufficient training samples on the road boundary extraction process is relieved, and the accuracy of the road boundary extraction result is improved.