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39 results about "Soil classification" patented technology
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Soil classification deals with the systematic categorization of soils based on distinguishing characteristics as well as criteria that dictate choices in use.
Shear wave velocity estimation method based on piezocone penetration test
The invention belongs to the technical field of geotechnical engineering testing and site investigation, and provides a shear wave velocity estimation method based on a piezocone penetration test, which can accurately and conveniently estimate the shear wave velocity. The method specifically comprises the following steps of S1, carrying out a pore pressure static sounding test on a plurality of drill holes in a site, and obtaining pore pressure static sounding basic parameters and shear wave velocity of each drill hole tested in the depth direction, S2, interpreting derived parameters according to the pore pressure static sounding basic parameters, S3, carrying out soil layer division, soil type identification and soil body type judgment, and S4, carrying out soil layer classification, soil type identification and soil body type judgment. S4, selecting data tested by the same soil body type as an analysis object, performing fitting analysis on the scatter diagrams of the cone tip resistance and the shear wave velocity of the piezocone penetration test to obtain a fitting formula, and S5, obtaining normalized cone tip resistance and normalized shear wave velocity based on the cone tip resistance and the shear wave velocity, substituting the normalized cone tip resistance and the normalized shear wave velocity into the fitting formula in the step S4, and introducing a soil classification index to obtain a soil classification result. And obtaining a calculation expression of the optimal estimation shear wave.
Owner:TAIYUAN UNIVERSITY OF TECHNOLOGY
Soil intelligent classification automation system and method
The invention discloses an intelligent soil classification automation system and method. Comprising a soil sample pretreatment module used for air drying, stirring and weighing treatment; the soil sample particle size grading screening module is used for carrying out step-by-step screening treatment to obtain a first-stage particle distribution result; the liquid-plastic limit automatic measurement module is used for performing measurement by using a conometer method to obtain a measurement result of the conometer method; the burning measurement module is used for carrying out burning treatment to obtain a corresponding burning measurement result; the densimeter measurement module is used for carrying out particle analysis through a densimeter method to obtain a second-stage particle distribution result; and the control analysis module is used for realizing automatic control of the intelligent soil classification automation system and performing data analysis to obtain the soil sample type and the corresponding optimal solidification method. According to the system disclosed by the invention, the whole-process automation and data processing of soil classification testing are realized, and the soil sample type and the corresponding optimal solidification method can be automatically obtained.
Owner:JINYU CONSTRUCTION TECHNOLOGY (JIAXING CITY) CO LTD
Remote sensing image data acquisition method for farmland soil type classification
The invention relates to the field of remote sensing image processing, in particular to a farmland soil type classification-oriented remote sensing image data acquisition method, which comprises the following steps of: regularly acquiring remote sensing image data of a target area according to a preset period; obtaining a distance measure between any two pixel points in each remote sensing image, and segmenting each remote sensing image to obtain a ground feature region; analyzing the trend and the amplitude of each pixel point on the spectral curve, and determining the red edge expression degree of each pixel point; determining the vegetation growth performance degree of each pixel point; determining the farmland soil segmentation quality of each remote sensing image; and screening a to-be-classified image from all remote sensing images of the target area, screening a farmland soil area to construct a bare soil mask image, and performing farmland soil classification on a ground feature area in the to-be-classified image in combination with a neural network. According to the method, the farmland soil area in the remote sensing image is accurately divided, and the accuracy of farmland soil type classification is improved.
Owner:GUIZHOU NORMAL UNIVERSITY +1
Hyperspectral soil classification method
The invention relates to the technical field of soil spectral analysis, in particular to a hyperspectral soil classification method, which comprises the following steps: acquiring hyperspectral images of various types of soil to be detected, and extracting a spectral feature group and a texture feature group from the hyperspectral images; obtaining topographic data, and extracting a topographic feature group from the topographic data; calculating separability indexes of the three feature groups among different soil classes; weighting the three feature groups based on a separability index to obtain an input feature vector; simplifying the input feature vector by adopting a recursive feature deletion method to obtain an optimal feature vector; and inputting the optimal feature vector into a middle layered random forest model for soil type detection to obtain a predicted soil type. According to the method, hyperspectral spectral features, spectral indexes, texture features and topographic features are integrated, a high-dimensional multi-source feature optimization mechanism based on factor weighting and recursive feature screening is introduced, and classification precision and model robustness are improved while feature dimensions are remarkably compressed.
Owner:JILIN UNIVERSITY
Subgrade compaction quality detection method based on ultrasonic wave collaboration
PendingCN121955179AHigh precisionStrong real-timeAnalysing solids using sonic/ultrasonic/infrasonic wavesProcessing detected response signalEnvironmental dataWater content
The invention relates to the technical field of roadbed detection, and discloses a roadbed compaction quality detection method based on ultrasonic wave collaboration, and the roadbed compaction quality detection method comprises the following steps: collecting full-wave band ultrasonic echo signals, and obtaining current environment data; calculating a longitudinal wave speed, a transverse wave speed and a wave speed ratio, and extracting an attenuation coefficient and a frequency dispersion characteristic of the ultrasonic echo signal to obtain an acoustic characteristic set; inputting the acoustic feature set and the environmental data into an environmental compensation model, outputting a standard acoustic parameter set subjected to temperature, humidity and water content correction, analyzing the standard acoustic parameter set through a soil texture classification algorithm, and judging the current soil texture type; and combining the standard acoustic parameter set and the current soil texture type into a multi-dimensional feature vector, inputting the multi-dimensional feature vector into a compactness calculation model, and calculating to obtain a roadbed compactness value of the current measuring point. According to the method, high-precision compaction degree numerical calculation is realized, and intelligent and visual whole-process support is provided for roadbed construction quality.
Owner:SHANDONG ZAOZHUANG ENVIRONMENTAL MANAGEMENT SERVICE GRP CO LTD
Flood calculation method designed by reasoning formula for determining runoff production parameters based on soil classification
PendingCN120408963AData processing applicationsDesign optimisation/simulationDesign floodSoil science
The invention mainly relates to the technical field of water conservancy and water engineering, and provides an inference formula design flood calculation method for determining runoff production parameters based on soil classification in order to solve the problem that a method for calculating design flood based on an inference formula method is not suitable for regions lack of rainstorm flood observation data. The core idea of the method is as follows: a soil classification database is adopted to classify the soil texture of a corresponding region, software is applied to simulate the soil infiltration process under different rainfall intensities, and the stable infiltration rate after runoff production is obtained as the runoff production parameter of the corresponding region; the confluence parameters and the runoff production parameters of the corresponding soil texture types are substituted into a design flood calculation formula, design flood calculation of different soil texture type areas in corresponding areas is achieved, and the method for calculating the design flood based on the inference formula method can also be suitable for areas lacking rainstorm flood observation data.
Owner:CHINA HYDROELECTRIC ENGINEERING CONSULTING GROUP CHENGDU RESEARCH HYDROELECTRIC INVESTIGATION DESIGN AND INSTITUTE
Soil classification prediction method and system based on environment and remote sensing multi-source data
The invention relates to the technical field of computer data processing, and provides a soil classification prediction method and system based on environment and remote sensing multi-source data. The method comprises the following steps: constructing a soil characteristic data set containing spectral characteristics, physicochemical characteristics and environmental characteristics; calculating the contribution degree of each feature to soil classification and the correlation degree between the features, generating an initial weight configuration, updating a weight coefficient according to the contribution degree of the spectral feature and / or the correlation degree between the physicochemical feature and the environmental feature, generating an adaptive weight configuration, and based on the adaptive weight configuration, carrying out weighted fusion on a feature subset of which the contribution degree exceeds a contribution degree threshold value, so as to obtain an adaptive weight configuration; generating a soil classification feature vector, constructing a soil classification decision tree based on the soil classification feature vector, and determining an optimal classification path; and predicting a classification result of the to-be-classified soil sample based on the optimal classification path, if the confidence of the classification result does not meet a confidence threshold condition, updating the weight coefficient, and returning to the step of generating the adaptive weight configuration until the confidence threshold condition is met, thereby obtaining a final classification result.
Owner:YUNNAN DAOSHI GEOGRAPHIC INFORMATION SYSTEM ENGINEERING CO LTD
Method and system for measuring particle size and grading of soil layer particles based on ultrasonic sensor
ActiveCN120846924AProcessing detected response signalParticle size analysisComputational scienceSoil science
The invention belongs to the field of classification and identification of soil in engineering geology, and particularly relates to a method and system for measuring the particle size and grading of soil layer particles based on an ultrasonic sensor. The objective of the invention is to solve the problem of accurate soil layer classification and naming. High-frequency ultrasonic waves and low-frequency ultrasonic waves are alternately emitted to a soil layer to be detected. After synchronously capturing the two reflected signals, respectively extracting scattering characteristics of the first-diameter particles and penetration characteristics of the second-diameter particles; and fusing the two characteristics to generate a composite particle size distribution curve, and presuming the particle size and grading of the soil layer particles by comparing with a pre-stored soil classification judgment model. The method is implemented through an ultrasonic acquisition device of the engineering geology in-situ test equipment, the ultrasonic emission interval is dynamically adjusted according to the penetration rate of the equipment, and continuous acquisition and real-time measurement of the vertical stratum are achieved until scanning of the whole stratum profile is completed. According to the invention, the technical problems of synchronous accurate detection and in-situ continuous measurement of coarse and fine particles are solved.
Owner:CHINA ARMY SURVEY & DESIGN INST CO LTD
Saline-alkali soil intelligent classification method based on improvement measure effect
The invention relates to the field of soil classification, in particular to a saline-alkali soil intelligent classification method based on an improvement measure effect, and the method comprises the steps: carrying out the collection and adaptive calculation of land parcel multi-source feature data, and obtaining a basic parameter set; performing difference analysis on the plot obstacle factor structure to obtain a macroscopic obstacle mode correction factor; carrying out conjoint analysis on the land parcel improvement demand degree and the adjustment characteristics to obtain a microscopic improvement feasibility correction factor; performing fusion calculation on the Euclidean distance and the correction factor to obtain an improved effect correction distance; and performing clustering analysis on the improvement effect correction distance to obtain an intelligent classification result of the saline-alkali soil, thereby solving the problems of land parcel improvement mode identification distortion and measure matching error caused by distance measurement isotropy in an existing clustering algorithm.
Owner:JILIN ACAD OF AGRI SCI
Regional scale soil classification method and system based on multi-modal data
The invention discloses a regional scale soil classification method and system based on multi-modal data. According to the method, data of two modes are cleaned and formatted by using a data preprocessing technology, the quality and consistency of the data are ensured, in addition, a sliding window mechanism is introduced, a multi-mode Transform architecture is constructed, and the multi-mode data are acquired by combining a sliding window converter (SWIN Transform) and a multi-layer perceptron (MLP) suitable for sampling point survey data. The method comprises the following steps: respectively carrying out feature extraction on an image and survey data, then introducing a cross-attention mechanism, capturing and enhancing a mutual relation among different modals, in addition, helping to reconstruct the image and structured data through multi-modal model reconstruction, and keeping data personality by using an auto-encoder to ensure that representation has discrimination, so as to realize multi-modal model reconstruction; and the soil type identification capability of the model is enhanced.
Owner:ZHEJIANG UNIV
A land property classification method based on dual knowledge self-distillation multilayer perceptron
The present invention discloses a land property classification method based on a dual knowledge self-distillation multilayer perceptron, comprising: step 1, using soil properties obtained by sensors as node features, using paths connecting adjacent sensors as edges, and obtaining node topology information; step 2, constructing a training sample set, which includes: node features, node topology information and corresponding soil classification labels; constructing a soil classification prediction model; inputting the node features in the training sample set into the soil classification prediction model, performing dual knowledge self-distillation in combination with the node topology information and calculating the loss, updating all parameters through a back propagation algorithm, and obtaining an optimized soil classification prediction model; step 3, inputting the node features of the soil to be classified into the optimized soil classification prediction model, and the output layer outputs the probability corresponding to each category; step 4, taking the category corresponding to the highest prediction probability as the final result of soil category prediction.
Owner:JILIN UNIVERSITY
Data fusion technique for predicting soil classification
Provided herein is a method for determining a soil classification comprising: obtaining a soil sample; conducting two or more of the following tests in the field, wherein the tests are selected from wash test, a feel test, a test tube particle graduation, or a jar test, to obtain raw data for each test; and calculating the soil classification from the raw data obtained in the field by applying a previously obtained validation dataset obtained from a training and validation soil classification calculation using known samples. The invention also includes compressed earth blocks made using the present invention.
Owner:SOUTHERN METHODIST UNIVERSITY
A method for obtaining soil strength index based on soil layer geophysical data
The application discloses a method for obtaining soil strength indexes based on soil layer geophysical prospecting data, and comprises the following steps: S1, obtaining the test depth and equivalent shear wave velocity of different measuring points in a target site; obtaining the drilling samples of each measuring point at the corresponding depth, obtaining the corresponding internal friction angle and soil type; preprocessing the collected data to obtain a comprehensive data set; S2, selecting the test depth and equivalent shear wave velocity in the comprehensive data set as basic features, constructing derived features, performing feature standardization, and obtaining a data set; dividing the data set into a training set and a test set; S3, based on the training set obtained in S2, optimizing and training the soil classification model and the internal friction angle prediction model; S4, obtaining the soil strength index internal friction angle based on the soil classification model and the internal friction angle prediction model obtained by the training in S3. The method of the application realizes high-precision prediction of soil strength indexes by constructing derived features and introducing physical range constraints.
Owner:TIANJIN UNIV
Surface soil type identification method based on MCP-ShuffleNet V2
The invention provides a surface soil type identification method based on MCP-ShuffleNet V2, and the method comprises the following steps: S1, obtaining a sample soil image, and carrying out the preprocessing of the sample soil image, and then forming a training data set; s2, constructing an MCP-ShuffleNet V2 prediction model, and inputting the training data set into the MCP-ShuffleNet V2 prediction model to carry out training; and S3, obtaining a to-be-detected soil image, preprocessing the to-be-detected soil image, and inputting the preprocessed to-be-detected soil image into the trained MCP-ShuffleNet V2 prediction model to obtain a soil classification result of the to-be-detected soil image, so that interference of non-soil elements in the soil image can be effectively inhibited, a neural network is guided to focus on a key soil area, a continuous and derivable MELU activation function is provided, and the accuracy of the soil classification result is improved. And the gradient disappearance problem is effectively avoided, so that the final soil type identification precision is effectively ensured.
Owner:CHONGQING NORMAL UNIVERSITY +1
Portable soil classified storage device for environmental assessment
ActiveCN223658843UWaste collection and transferNon-removalbe lids/coversStructural engineeringEnvironmental impact assessment
Owner:SHENZHEN GUANGSHENGYUAN ENVIRONMENTAL PROTECTION TECHNOLOGY CO LTD
Ridging, pipe laying and film covering integrated device
The invention discloses a ridging, pipe laying and film covering integrated device, and relates to the technical field of agricultural equipment. The two ridging mechanisms are arranged on the two sides of the front end of the mounting frame plate respectively, each ridging mechanism comprises a shaping block and a ridging blade mounted on the front side of the shaping block, and the top of each shaping block is mounted at the bottom of the mounting frame plate through a mounting rod; a soil conveying mechanism; and the soil quality classification mechanism is used for classifying soil collected after ridging, and the soil quality classification mechanism comprises a classification box, a discharging plate and a screening plate. The ridging, pipe laying and film mulching operation can be synchronously completed, dry small-particle soil and wet caked soil can be classified through the soil texture classification mechanism and conveyed into a ridge platform and a furrow correspondingly, and therefore soil loosening is conducted on the ridge platform equivalently, subsequent plant growth is more convenient, and the yield of plants is increased. And a larger height difference between a ridge platform and a furrow can be obtained without cutting a deeper furrow, so that the ridging difficulty is reduced.
Owner:RES INST OF TROPICAL ECO AGRI SCI YUNAN ACAD OF AGRI SCI
Classification method of shallow silty clay strata based on CPTU field penetration test
The present invention belongs to the field of geotechnical engineering field test technology, specifically a shallow silty clay stratum classification method based on CPTU field penetration test, using CPTU field penetration test, by modifying the cone tip resistance model, combined with the normalized friction ratio model; introducing the vertical stress of the overlying soil layer, the effective vertical stress of the overlying soil layer and the atmospheric pressure, to obtain the normalized cone tip resistance model; then based on the soil type index and boundary conditions such as the thickness of the silty clay stratum, the existing correction coefficient is optimized, and the normalized cone tip resistance model is further corrected; finally, the normalized friction ratio model and the modified normalized cone tip resistance model are brought into the soil type index model to obtain a modified soil type index model for dividing shallow soil. This method can meet the soil classification more accurately, and can meet the discrimination between silty clay, silt and silt sand, and has the advantages of being fast, simple, and having high reliability of test results.
Owner:JINAN RAILWAY TRANSPORT GRP CO LTD +1
Soil texture classification device
The utility model discloses a soil texture classification device, which belongs to the technical field of soil texture classification devices, and adopts the technical scheme that the soil texture classification device comprises a box shell, a feeding hole is formed in the top of the box shell, a baffle plate is rotatably connected to the top of the box shell, and a plurality of first inserting grooves are formed in the right side of the box shell; a plurality of first inserting grooves are formed in the front side of the box shell, screening plates are clamped in the multiple first inserting grooves, a plurality of storage grooves are formed in the front side of the box shell, collecting boxes are clamped in the multiple storage grooves, and a vibration assembly is fixedly connected to the bottom of the box shell. The vibration assembly comprises a supporting plate, a plurality of spring rods are fixedly connected to the bottom of the inner wall of the supporting plate, and a connecting plate is fixedly connected to the tops of the spring rods. And sand, floury soil, loam, clay and the like in the soil cannot be conveniently screened.
Owner:SICHUAN JIANGONG CONSTR ENG TESTING CO LTD
Soil X-ray fluorescence spectrum classification method
The invention discloses a soil X-ray fluorescence spectrum classification method which is characterized by comprising the following steps: S1, classification standard establishment: establishing a classification standard according to the oxide content of elements in soil, S2, data marking and set division, S3, optimization of a convolutional neural network (CNN) based on an equilibrium optimizer (EO) and establishment of a soil classification network model; according to the method, data is divided into a training set, a verification set and a test set, global optimization is performed on parameters and hyper-parameters of a CNN model by using an EO algorithm to construct the model, and in model training, a convolutional layer extracts hierarchical features of spectral data, a pooling layer reduces data dimensions, and a full connection layer outputs a classification result. And finally, the probability distribution of each soil category is calculated through a Softmax function, the EO algorithm simulates the interaction between objects through a balance mechanism, parameters are continuously optimized to improve the classification accuracy of the model, and the classification result has higher stability and noise immunity.
Owner:BEIJING UNIV OF POSTS & TELECOMM +2
Soil hardness prediction method and device, equipment, storage medium and program product
The invention discloses a soil hardness prediction method and device, equipment, a storage medium and a program product, and relates to the technical field of image data processing, and the soil hardness prediction method comprises the steps: determining soil attribute data, predicting soil humidity time sequence data through the attribute data, carrying out the soil classification, and finally determining the soil penetration resistance. Comprehensive calculation of the soil hardness is achieved, meanwhile, the change trend in a period of time in the future can be reflected, and the timeliness and the refinement degree of drawing are remarkably improved. Meanwhile, widely available environmental data (such as satellite remote sensing, digital elevation models and meteorological reanalysis products) are used as input and can be quickly applied to areas lacking measured data, the data acquisition cost and time are greatly reduced, and the method has the capability of being popularized and applied to large-scale areas (such as provincial levels and drainage basins).
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)
Land property classification method based on double knowledge self-distillation multilayer perceptron
The invention discloses a land property classification method based on a double-knowledge self-distillation multilayer perceptron, which comprises the following steps of: 1, taking soil properties obtained by sensors as node characteristics, and taking paths for connecting adjacent sensors as edges to obtain node topological information; 2, constructing a training sample set, wherein the training sample set comprises node features, node topological information and corresponding soil classification labels; constructing a soil classification prediction model; inputting node features in the training sample set into the soil classification prediction model, carrying out double knowledge self-distillation and calculating loss in combination with node topology information, and updating all parameters through a back propagation algorithm to obtain an optimized soil classification prediction model; 3, inputting node features of soil to be classified into the optimized soil classification prediction model, and outputting a probability corresponding to each category by an output layer; and 4, taking the category corresponding to the highest prediction probability as a final result of soil category prediction.
Owner:JILIN UNIVERSITY
A seabed immersed tube tunnel foundation trench soil information output method
ActiveCN115470619BDesign optimisation/simulationSpecial data processing applicationsRailway tunnelSoil science
The method comprises the following steps: S1, establishing a three-dimensional base trench geological model; S2, establishing a two-dimensional base trench mileage pile number line; S3, matching and calculating the starting and ending mileage pile numbers of a calculation area; S4, inputting boundary condition parameters of the calculation area; and S5, one-key table output of soil information of the calculation area. The method is based on the three-dimensional base trench geological model and combined with a soil classification calculation method, and under the condition of ensuring calculation accuracy, one-key table output of information of various types of soil in a local area of the base trench is realized, the calculation accuracy and efficiency are significantly improved compared with a traditional section method, important quantitative basis is provided for selection of construction equipment and process of excavation of the local area of the base trench, the effect is very obvious, and the method is also applicable to rapid calculation and output of soil information of linear engineering such as a base trench, a waterway, a highway, a railway, a tunnel and urban rail transit, and is widely applied.
Owner:CCCC GUANGZHOU DREDGING CO LTD
Portable environmental assessment soil classified storage device
ActiveCN223421296UWaste collection and transferContainers to prevent mechanical damageSoil scienceAgricultural engineering
The utility model discloses a portable environmental assessment soil classified storage device, and particularly relates to the technical field of environmental assessment, the portable environmental assessment soil classified storage device comprises a soil storage box, the top of the soil storage box is provided with a cover plate, a hinge is installed between the soil storage box and the cover plate, and a soil storage assembly is arranged between the soil storage box and the cover plate; the soil storage assembly comprises a plurality of containing grooves, and the multiple containing grooves are formed in the surface of the top of the soil storage box. By arranging the soil storage assembly, a user can easily pull out or push in a soil storage box, classified storage and taking of soil samples are achieved, the working efficiency is improved, a threaded rod, a lifting plate and a lifting pressing block structure are arranged in a fixing shell at the top of a cover plate, when a fixing rotary knob is rotated, the lifting pressing block can be driven to move up and down, and when the lifting pressing block descends, the lifting pressing block can move up and down. The soil storage box can compress soil, prevent the soil storage box from shaking or shifting in the transportation process, guarantee the integrity of a soil sample and prevent the soil from being polluted.
Owner:JIANGSU ZHENGYUAN INSPECTION & TESTING CO LTD
Residue soil classification treatment device of rotary drilling rig
The invention relates to the technical field of classification treatment devices in the field of constructional engineering, in particular to a rotary drilling rig muck classification treatment device which comprises a treatment box installed on a U-shaped plate, the treatment box is in a square tube shape, a first opening is formed in the top end of the side wall of one side of the treatment box, and a second opening is formed in the bottom end of the side wall of the other side of the treatment box. A separation mechanism is arranged in the treatment box, an auxiliary mechanism is mounted on the treatment box, and a driving mechanism is arranged on the outer side of the treatment box; dug soil is poured into a treatment box, stones and the soil are separated through a separation mechanism, when the stones and the soil are separated, a driving mechanism is started, an auxiliary mechanism improves the separation efficiency of the separation mechanism, the stones are collected by a first collection mechanism from a first opening, and the soil flows out of a second opening and is collected by a second collection mechanism; and the stone and soil separation effect is achieved.
Owner:CCCC SHANGHAI DREDGING CO LTD
Method and system for determining soil particle size and gradation based on ultrasonic sensors
ActiveCN120846924BProcessing detected response signalParticle size analysisComputational scienceContinuous measurement
The application belongs to the field of soil classification and identification in engineering geology, and particularly relates to a method and system for measuring soil layer particle size and grading based on an ultrasonic sensor, aiming to solve the problem of accurate soil layer classification and naming. The application adopts high-frequency and low-frequency ultrasonic waves to alternately emit to the soil layer to be measured. After synchronously capturing two kinds of reflected signals, the scattering characteristics of the first diameter particles and the penetration characteristics of the second diameter particles are extracted respectively. The two kinds of characteristics are fused to generate a composite particle size distribution curve, which is compared with a pre-stored soil classification and identification model to infer the particle size and grading of the soil layer. The method is implemented by an ultrasonic acquisition device of an engineering geology in-situ test equipment, the ultrasonic emission interval is dynamically adjusted according to the penetration rate of the equipment, continuous acquisition and real-time measurement of the vertical stratum are realized, and the entire stratum profile scanning is completed. The application solves the technical problems of synchronous and accurate detection of coarse and fine particles and in-situ continuous measurement.
Owner:CHINA ARMY SURVEY & DESIGN INST CO LTD
A remote sensing image data acquisition method for farmland soil type classification
The application relates to the field of remote sensing image processing, in particular to a remote sensing image data acquisition method for farmland soil type classification, which comprises the following steps: periodically acquiring remote sensing image data of a target region according to a preset period; obtaining distance measurement between any two pixel points in each remote sensing image, segmenting each remote sensing image to obtain a ground object region; analyzing the trend and amplitude of the spectrum curve of each pixel point to determine the red edge performance degree of each pixel point; determining the vegetation growth performance degree of each pixel point; determining the farmland soil segmentation quality of each remote sensing image; screening a to-be-classified image from all remote sensing images of the target region, screening a farmland soil region to construct a bare soil mask image, and combining a neural network to perform farmland soil classification on the ground object region in the to-be-classified image. The application aims to accurately divide the farmland soil region in the remote sensing image and improve the accuracy of farmland soil type classification.
Owner:GUIZHOU NORMAL UNIVERSITY +1
High-resolution remote sensing image bare soil extraction and fine classification method
According to the high-resolution remote sensing image bare soil extraction and fine classification method, the high-resolution remote sensing image is obtained based on WorldView series satellites and resource No.3 satellites, bare soil information is extracted by an abstract normal form classification method and fine classification is carried out for bare soil extraction and fine classification of each region, and the accuracy of bare soil extraction and fine classification is improved. The key technology comprises image segmentation, feature entropy setting, classification system design and the like. According to the method, three bare soil indexes are designed for WorldView series images, two bare soil indexes are provided for resource No.3 images, mixed ground features are removed by using methods of supervised classification and index set construction, and the extraction precision can be greatly improved by adding a mixed ground feature removal rule. Analyzing object features including spectrum, geometry, spatial relation and the like, selecting features with good classification effects, and determining feature combinations extracted from various ground features such as bulldozing soil and non-farming farmland; a classification rule feature entropy set is established, a bare soil fine classification result is obtained, classification is accurate, and the precision is high.
Owner:翟景友
Soil organic matter content monitoring method and system based on drone and hyperspectral
ActiveCN119000575BNavigational calculation instrumentsClimate change adaptationFeature vectorData set
The present invention discloses a soil organic matter content monitoring method and system based on unmanned aerial vehicles and hyperspectral, and relates to the technical field of soil organic matter content monitoring, in order to solve the problem of inaccurate monitoring results when a hyperspectral camera monitors the organic matter content of soil. The present invention utilizes computers and image processing technology to quickly complete the processing and analysis of a large amount of image data, and realizes real-time or rapid monitoring of the soil in the monitoring area. By comparing statistical indicators such as standard deviation and correlation, characteristic bands that are significantly different from the spectral characteristics of the monitored soil are screened out. This method not only reduces redundant information, but also highlights the most critical characteristic information for soil classification and identification. The principal component analysis method is used to perform dimensionality reduction processing on the modeling data set, and the most important characteristic vectors are extracted as the principal components, thereby improving the calculation efficiency and prediction accuracy of the model.
Owner:黑龙江省农业科学院农业遥感与信息研究所
A soil undisturbed soil sampling device for black soil classification zoning
The application discloses a soil undisturbed soil sampling device for black soil classification and partitioning, which is used for sampling deep soil A and relates to the technical field of soil sampling, and comprises a guide cylinder, which is obliquely extended into deep soil, a side opening is formed in the side wall of the guide cylinder, the side opening is located below A, and the axis of the side opening passes through A; a position adjusting assembly, which has a position adjusting end, the position adjusting end can adjust the depth of the extension into the guide cylinder; an adjuster, which is fixed to the position adjusting end and has an extension end, the extension end can move along the radial direction of the guide cylinder; and a sampling assembly, which is arranged on the extension end, the application avoids the process that the sampling tool penetrates the soil layer above the target sampling point, maximally eliminates the disturbance to the soil at the target sampling point, and maximally maintains the undisturbed structure of the soil.
Owner:HEILONGJIANG UNIV
Soil layer division method and system based on adaptive PELT change point detection algorithm
The invention discloses a soil layer division method and system based on an adaptive PELT change point detection algorithm, and the method comprises the steps: carrying out the iterative calculation based on the conical tip resistance and side wall friction resistance, and obtaining a soil body classification index, the normalized conical tip resistance, the normalized friction ratio and a stress index; based on the soil body classification index sequence, adaptively determining a penalty coefficient and a minimum layering thickness parameter of a PELT change point detection algorithm to obtain a parameter-optimized PELT change point detection algorithm; adjusting the position of the interface in combination with a depth weighting method to obtain an optimized soil layer interface depth sequence; and determining and outputting the type of each layer of soil in combination with a soil layer classification standard. According to the method, dynamic optimization of parameters is realized based on combination of static sounding data, soil body classification indexes and a parameter-adaptive PELT change point detection algorithm, and the adaptability of the algorithm to different soil layer conditions is improved; and meanwhile, through a depth weighting method, the interference of data noise on interface positioning is effectively reduced, and the precision and anti-noise capability of interface positioning are remarkably improved.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN) +1