45 results about "Topographic correction" patented technology

The invention relates to a constructing method for topographic correction vegetation index, comprising the following steps of: (1) carrying out radiative correction with different degrees according to obtained optical remote sensing image data source; (2) carrying out judgment and processing to nonvegetated dark matters; and (3) carrying out calculation to topographic correction vegetation index (TCVI). The method is adopted to construct the topographic correction vegetation index, thus making up the defect that the existing vegetation index can not eliminate topographic influence and eliminating the dependence to the topographic correction method based on DEM data. The invention can quantitatively and fast reflect the vegetable information of mountain areas only by needing two wave bands of data, namely an infrared wave band and a near-infrared wave band.

The invention discloses an atmospheric pollution traceability diffusion analysis system and method based on a Gaussian diffusion model, and the system employs an analogue simulation module which comprises GIS information, pollution diffusion simulation and visual rendering, carries out the simulation of a regional environment through the information, forms a GIS map, and according to the monitoring data in combination with the Gaussian diffusion model after terrain correction, through an image processing technology, pollution diffusion concentration changes are overlaid on a GIS map, wind field distribution after topographic correction is obtained according to topographic data and meteorological data, then a Gaussian diffusion model formula is selected, the concentration influence of each pollution source on a grid center point of an evaluation area is obtained, and an accumulated concentration value is calculated. And visual rendering is performed on a GIS map according to the calculated pollutant concentration value of the central point of the grid, and a visual result is superposed with a basic geographic information base map of the evaluation area to realize visual display of a prediction result.

The invention provides a method for recovering spectral information of a hill shade area of a Landsat thematic mapper / enhanced thematic mapper plus (TM / ETM+) image. The method comprises the following steps of: identifying and extracting the shade area, searching unshaded similar image elements and recovering the spectral information of the shade area. The method for recovering the spectral information of the hill shade area of the Landsat TM / ETM+ image is used for recovering the spectral information of the shade area of a remote sensing image. According to the method provided by the invention, by fully combining the proper weak spectral information of shade image elements with the spectral information of similar image elements near the shade image elements, the dependence of a traditional topographic correction algorithm on digital elevation model (DEM) data is rid of. When the resolution and the accuracy of the DEM data cannot meet the requirement of the topographic correction algorithm, the algorithm is capable of providing an effective shade processing method.

The invention relates to a multi-stereoscopic-image fusion drawing method considering different illumination imaging conditions. The method comprises the following steps: step one, acquiring an existing image of a research area and selecting a multi-coverage stereo image pair; step two, constructing an imaging geometric model of a remote sensing image; step three, carrying out initial matching onthe stereo image pair to obtain same-name points; step four, carrying out stereoscopic image area network beam method adjustment on the imaging geometric model obtained at the step two to obtain a refined imaging geometric model; step five, carrying out dense matching on each group of stereoscopic image pairs to obtain an image-space dense same-name point set of all groups of stereoscopic image pairs; step six, on the basis of the refined imaging geometric model obtained at the step four, carrying out forward intersection on the image-space dense same-name points obtained by the step five to obtain a dense three-dimensional point cloud of the object space, carrying out grid division and interpolation to obtain a DEM, and carrying out DEM fusion to obtain a hole-free DEM; and step seven, according to the hole-free DEM and the refined imaging geometric model, a DOM being an image with geographic information after terrain correction is obtained.

A power transmission and transformation equipment ice coating disaster monitoring and forecasting method based on meteorological and topographic factors comprises the following steps of: S1, collecting meteorological and topographic data comprising geographic information such as a sea level elevation, river network information, a slope, an exposure, slope variability, exposure variability, a waviness, a roughness, a surface illumination degree and the like; S2, establishing an ice coating thickness estimation meteorological model, wherein the meteorological model is as follows: Y=-0.11x1-0.49x2-0.34x3-0.335x4+0.00x5-0.013x6+0.27x7+1.75x8; S3, carrying out topographic correction of the ice coating thickness estimation meteorological model and carrying out contrastive analysis on an ice coating thickness increment and a difference value of an actually measured value and a meteorological model estimated value, which are obtained by utilizing the formulas, wherein a topographic correction model is as follows: delta Y'=0.19+0.0014x1-0.0035x2+0.045x3; S4, adding the meteorological model in the step 2 with a topographic correction model in the step 3 to obtain a final ice coating thickness comprehensive correction model, completing monitoring on ice coating thickness distribution and carrying out forecasting on the basis of an obtained result. The method considers influence of microtopography and micrometeorology on monitoring of a power transmission and transformation equipment ice coating disaster and has the advantages of high accuracy, high practicality, high reliability and the like.

The invention discloses a ratio method for correcting topographic influence in electromagnetic prospecting. The ratio method comprises the steps of acquiring a surface layer resistivity value without topographic influence to serve as a standard resistivity of topographic correction; drawing an in-line topographic profile, respectively comparing the topographic profile with a frequency point profile of a frequency domain electromagnetic method and a time channel profile of a time domain electromagnetic method, and judging the topographic influence suffered by the actually measured data according to the influence rule of the topography on the resistivity in the frequency domain and the time domain electromagnetic field; observing from the highest frequency point of the frequency domain electromagnetic method and the earliest time channel of the time domain electromagnetic method so as to obtain the topographic response which is closest to the surface layer until the absence of low-frequency frequency point of the topographic influence is observed in the frequency domain electromagnetic method and the absence of the late time channel of the topographic influence is observed in the time domain electromagnetic method, and acquiring the observation data without topographic influence; and performing topographic correction according to a ratio formula of pcorrected(i,j)=pmeasured(i,j) [pstandard(i) / pmeasured(i,l)]C(i,j). The ratio method is good in correction effect in the process of correcting the topographic influence, is high in feasibility and can be widely applied to topographic influence correction in electromagnetic prospecting.

The invention relates to an improved physical method for topographic correction of remote sensing images, which considers the influence of the topography on incident irradiance and earth surface reflectivity received by the sloping surface, more accurately computes sky radiation received by the sloping surface pixel, and meanwhile considers the influence of atmosphere during the topographic correction. The method of the invention can obtain the better result of the topographic correction; and the method belongs to the physical method, has universality and can be applied to various optical remote sensing images.

The present invention discloses a method of positioning and detecting a high density concealed ore body in a full spatial domain by the tunnel gravity. The method is characterized in that firstly, the field tunnel gravity and the gravity gradient are observed, and various correction operations containing the earth tide correction, the null shift correction, the topographic correction, the Bouguer correction, the latitude correction, the tunnel correction, the mined-out area correction, the back filled region correction and the like are carried out on the observation data, and then the concealed ore body is positioned and detected by the corrected gravity abnormity and the gravity gradient abnormity in the X, Y and Z directions. The method solves the problems that a metal ore body is difficult to position in the full spatial domain, and the other geophysical exploration methods are influenced by the electromagnetic interference and the abnormity multiplicity, so that the deep ore body is difficult to position and detect accurately.

The present invention discloses a terrain correction method for a remote sensing image based on micro terrains, which comprises the following steps: registering the remote sensing image and DEM (dynamic effect model) data at first and determining the number of the micro terrains in each element of the remote sensing image; calculating the slope and the slope aspect of each micro terrain and the incidence angle and the observation angle according to the DEM data, the azimuth of the sun and the azimuth of a sensor, and calculating the projection and radiation factor of each micro terrain on thehorizontal plane and the shadowing factor of adjacent micro terrains on each micro terrain; and finally, calculating the total projection and radiation factor of each element of the remote sensing image according to the projection and radiation factor of each micro terrain on the horizontal plane, the shadowing factor of the adjacent micro terrains on each micro terrain and the number of the micro terrains in each element of the remote sensing image, and carrying out terrain correction for the original remote sensing image. By adopting the shadowing effect of the adjacent micro terrains on each micro terrain, the accuracy of the terrain correction for the remote sensing image can be increased.

The invention discloses a remote sensing image pseudostereoscopy correction method. A current solar azimuth and a solar altitude are obtained by utilizing an original remote sensing image, data of a DEM and a remote sensing image, and an orthostereoscopy image according with practical topographic features is generated through image geometric precise correction, image intensification, calculation of gradient and exposure, calculation of an effective solar incident angle cosine value, topographical correction based on a gradient matching model and calculation of a gradient matching model inverse process. The remote sensing image pseudostereoscopy correction method has the advantages of being strong in mechanism, and widely suitable for pseudostereoscopy correction of remote sensing images of different regions and different sources. A generated orthostereoscopy image is high in third dimension, vivid in tone and balance in brightness, and the remote sensing image pseudostereoscopy correction method can be applied to the fields of map navigation, planning and designing, ecological zoning, resources monitoring such as land, agriculture and the forestry, geological disaster monitoring, geological prospecting, hydrological survey, military and the like.

The invention provides a movable dam seepage path weak magnetic detection data acquisition device and method. The device comprises a weak magnetic signal excitation device, a weak magnetic signal receiving device and a main control system. The weak magnetic signal excitation device is used for forming a current loop in a water body in a seepage path of a dam so as to excite and generate a weak magnetic signal. The weak magnetic signal receiving device comprises a balloon, a three-component magnetic receiving sensor carried on the balloon, and three winches which are located on the ground and can automatically take up and pay off stranded wires. The main control system is used for adjusting the length of the stranded wires of the winches, controlling the lift-off height of the balloon and processing the received weak magnetic signals. The device is not affected by terrain, data do not need terrain correction, the calculation workload can be greatly reduced, magnetic interference generated by using conductors such as magnetic metal can be effectively avoided, magnetic field intensity distribution and vertical magnetic field gradient distribution at different elevations are compared, multiplicity of interpretation results can be effectively reduced, and the working effect of treatment of penetration hidden dangers is greatly improved.

The invention discloses a graded slope SCS+C model mountainous topographic correction method. Graded slope SCS+C topographic correction of a remote-sensing image includes SCS topographic correction and graded slope coefficient SCS+C; the graded slope coefficient SCS+C is divided into grades of 5 degrees, excluding 0-1 degree, and each slope grade coefficient is added in the SCS topographic correction; the remote-sensing image is subjected to topographic correction by a graded slope SCS+C model. Cosine topographic correction and the graded slope coefficient SCS+C are combined, so that a finer topographically-corrected remote-sensing image can be obtained by mountainous remote-sensing image topographic correction, and the defect that only one coefficient SCS+C is applicable to the whole remote-sensing image is overcome. The graded slope SCS+C topographic correction is simple and convenient to operate, and remote-sensing image topographic correction is higher in precision.

The invention provides a remote-sensing image near-infrared band terrain shadow correction method for monitoring mountainous regions, and the method comprises the following steps: S1, obtaining satellite remote-sensing data and DEM data of a research region, and carrying out the data preprocessing; s2, extracting a terrain shadow by adopting machine learning and a water body index, namely, NDWI; s3, performing SCS + C terrain correction by adopting the surface reflectance after atmospheric correction; s4, calculating a terrain shadow elimination vegetation index, namely SEVI, by adopting the surface reflectance; s5, carrying out red light wave band terrain shadow correction; and S6, carrying out near-infrared band terrain shadow correction. By applying the technical scheme, the interference of the terrain shadow on the near-infrared band of the remote sensing image can be effectively eliminated, and the defect that the conventional terrain correction method based on the DEM is poor in near-infrared band terrain shadow correction effect, especially the defect of shadow failure is overcome.

The invention discloses a mountain area remote sensing image landform correction method by use of a slope rating C model. Cosine landform correction and a slope rating coefficient C form remote sensing image slope rating C landform correction. According to the slope rating coefficient C, every 5 degrees define a rating, and 0-1 degrees are excluded. The coefficient of each slop rating is added to the cosine landform correction. By use of slope rating C landform correction formed by the cosine landform correction and the slope rating coefficient C in the remote sensing image slope rating C landform correction, the cosine landform correction is selected to be combined with the slope rating coefficient C so that remote sensing image landform correction can carry out landform correction on a mountain area remote sensing image, the disadvantage is overcome that only a coefficient C is applied to a positive amplitude remote sensing image, the slope rating C model landform correction is simple and is convenient to operate, and the precision of mountain area remote sensing image landform correction is improved.

The invention discloses a ground penetrating radar capable of positioning, which comprises a ground penetrating module, a positioning module and an information processing module, wherein the ground penetrating module is connected with the information processing module and used for detecting characteristic parameters of a target underground medium and transferring the characteristic parameters to the information processing module; the positioning module is connected with the information processing module and used for obtaining spatial position information of the target underground medium and transferring the spatial position information to the information processing module; and the information processing module is connected with the ground penetrating module and the positioning module and used for processing the characteristic parameters and the spatial position information. In the invention, the spatial positioning technology is introduced in the ground penetrating radar to carry out topographic correction on the position where each ground penetrating radar is located, and the positioning precision and the detection quality of the detection result of the ground penetrating radar can be improved significantly.

The invention relates to a high-precision terrain correction ground penetrating radar data accurate positioning method. Comprising the following steps: acquiring a high-precision digital elevation model of a detection area; acquiring underground three-dimensional imaging data of a detection area, and extracting track plane coordinates; superposing the high-precision digital elevation model and the trajectory plane coordinates to obtain trajectory three-dimensional data; and correcting the underground three-dimensional imaging data according to the track three-dimensional data. The method is high in operation efficiency, low in labor investment, high in result precision and high in practicability; a detection track does not need to be set in advance for terrain correction, so that ground penetrating radar detection is more flexible and convenient; and the ground penetrating radar can be used in a complex terrain environment, and the practicability of the ground penetrating radar is improved.

The invention discloses a method for topographic correction of precipitation areal rainfall. The method relates to the technical field of atmospheric science, and comprises the steps of: S1, acquiring24-hour accumulated rainfall data in a T639 numerical forecasting mode; S2, matching the 24-hour accumulated rainfall data in the step S1 with a ground meteorological observation station; S3, establishing an areal rainfall calculation model by utilizing the 24-hour accumulated rainfall data, a model terrain and actual observation data; S4, marking longitude, latitude and real height of the groundmeteorological observation station, establishing real terrain data, and performing parameter optimization on the areal rainfall calculation model by utilizing the real terrain data; S5, training theoptimized areal rainfall calculation model by using a deep learning algorithm to obtain a precise areal rainfall calculation model; S6, and performing inversion on the rainfall of a designated regionby utilizing the precise areal rainfall calculation model to obtain the areal rainfall of the designated region. The method has the advantages that the method is simple, and the optimal areal rainfalldistribution condition of the designated region can be obtained.

The invention belongs to the technical field of satellite-borne synthetic aperture radar data processing, and particularly relates to a building extraction method based on lifting track radar data. According to the method, a satellite-borne synthetic aperture radar is used for obtaining an orbit ascending radar image and an orbit descending radar image at the time interval of 6 days, and the method for extracting the building based on the satellite-borne radar data is established through radiometric calibration, terrain correction, thermal noise elimination, entropy calculation and orbit weighting, incident angle correction, orbit ascending and descending maximum value synthesis and histogram threshold processing. According to the method, the dependence of building extraction on ground samples is reduced, the operation load is reduced compared with an identification method based on machine learning, the problem of building scattering information distortion caused by monorail radar observation is solved, identification errors caused by space speckle noise, image incidence angles and radiation differences are reduced, and the identification accuracy is improved. The method can be applied to the fields of land resource monitoring, urban planning management and the like, and achieves 87% precision in urban building identification cases.

The invention relates to a remote sensing image visible light wave band terrain shadow correction method. The method mainly comprises the steps of image preprocessing, shadow extraction, SCS+C calculation, SEVI calculation, sample making, machine learning, terrain shadow correction and terrain shadow correction effect evaluation. According to the remote sensing image visible light wave band terrain shadow method, the shadow interference of red, green and blue wave bands of the remote sensing image can be effectively eliminated, the defect that the SEVI can only obtain single-wave band information for eliminating the shadow interference is overcome, and the defect that a conventional terrain correction method based on the DEM fails in shadow is further overcome.

The invention provides a rice after-disaster growth vigor detection method and device, and belongs to the technical field of agricultural remote sensing, and the method comprises the steps: determining a disaster research region, obtaining the SAR image data of the research region, carrying out the topographic correction, radiometric calibration and filtering of the SAR image data, and obtaining the normalized backscattering cross section intensity; substituting the backscattering cross section intensity of the VH polarization and the backscattering cross section intensity of the VV polarization into a formula for calculation to obtain a normalized difference index; and substituting the normalized difference index into a formula NDVI = a * NDBI + b for calculation to obtain a normalized vegetation index, and performing inversion to obtain the growth vigor of the rice. According to the technical scheme, the growth vigor of the rice crops is detected based on the SAR image, the rice disaster situation is detected by utilizing the characteristics that imaging of the SAR image is not influenced by weather factors and is timely, the problem that optical images are not suitable for detection after flood disasters is solved, and the accessibility, timeliness and accuracy of data are guaranteed.

The invention relates to an improved physical method for topographic correction of remote sensing images, which considers the influence of the topography on incident irradiance and earth surface reflectivity received by the sloping surface, more accurately computes sky radiation received by the sloping surface pixel, and meanwhile considers the influence of atmosphere during the topographic correction. The method of the invention can obtain the better result of the topographic correction; and the method belongs to the physical method, has universality and can be applied to various optical remote sensing images.

A high-precision DEM aviation gravity far-field terrain correction method considering the curvature of the earth, including: S1, obtaining the position information of the measuring point Q. S2. According to the location information of the measuring point Q, extract the elevation average value S3, According to the elevation average value of all DEM units within the range of measuring point Q and the preset calculation formula of measuring point Q terrain correction value, the terrain correction value of measuring point Q is obtained. S4. According to the terrain correction value of the measuring point Q, the gravity measurement of the measuring point Q is accurately corrected. Greatly improve the accuracy of gravity far-field terrain correction, and at the same time, the calculation amount is small and the calculation speed is fast; long-term work can splice the elevation database completed in different periods to update and maintain the elevation database.

The invention provides a remote sensing image terrain correction effect evaluation method based on an entropy weight method. The remote sensing image terrain correction effect evaluation method comprises the following steps: 1, obtaining a quantitative evaluation index of a remote sensing image terrain correction effect; 2, performing quantitative evaluation on the remote sensing image after topographic correction from five aspects by using quantitative evaluation indexes; 3, standardizing each quantitative evaluation index value; 4, obtaining a terrain correction effect comprehensive evaluation value of each wave band based on an entropy weight method; and 5, calculating a comprehensive score of the terrain correction effect of the whole image based on a principal component analysis method. According to the method, the terrain correction effect of the remote sensing image can be comprehensively and objectively quantitatively evaluated, and the defect that the terrain correction effect is evaluated by adopting a single evaluation index and a single wave band at present is overcome.

The invention discloses a ratio method for correcting topographic influence in electromagnetic prospecting. The ratio method comprises the steps of acquiring a surface layer resistivity value without topographic influence to serve as a standard resistivity of topographic correction; drawing an in-line topographic profile, respectively comparing the topographic profile with a frequency point profile of a frequency domain electromagnetic method and a time channel profile of a time domain electromagnetic method, and judging the topographic influence suffered by the actually measured data according to the influence rule of the topography on the resistivity in the frequency domain and the time domain electromagnetic field; observing from the highest frequency point of the frequency domain electromagnetic method and the earliest time channel of the time domain electromagnetic method so as to obtain the topographic response which is closest to the surface layer until the absence of low-frequency frequency point of the topographic influence is observed in the frequency domain electromagnetic method and the absence of the late time channel of the topographic influence is observed in the time domain electromagnetic method, and acquiring the observation data without topographic influence; and performing topographic correction according to a ratio formula of pcorrected(i,j)=pmeasured(i,j) [pstandard(i) / pmeasured(i,l)]C(i,j). The ratio method is good in correction effect in the process of correcting the topographic influence, is high in feasibility and can be widely applied to topographic influence correction in electromagnetic prospecting.

The present invention discloses a terrain correction method for a remote sensing image based on micro terrains, which comprises the following steps: registering the remote sensing image and DEM (dynamic effect model) data at first and determining the number of the micro terrains in each element of the remote sensing image; calculating the slope and the slope aspect of each micro terrain and the incidence angle and the observation angle according to the DEM data, the azimuth of the sun and the azimuth of a sensor, and calculating the projection and radiation factor of each micro terrain on thehorizontal plane and the shadowing factor of adjacent micro terrains on each micro terrain; and finally, calculating the total projection and radiation factor of each element of the remote sensing image according to the projection and radiation factor of each micro terrain on the horizontal plane, the shadowing factor of the adjacent micro terrains on each micro terrain and the number of the micro terrains in each element of the remote sensing image, and carrying out terrain correction for the original remote sensing image. By adopting the shadowing effect of the adjacent micro terrains on each micro terrain, the accuracy of the terrain correction for the remote sensing image can be increased.

An information processing system (1) is provided with: a first acquisition unit (201) that acquires position and attitude information indicating the position and attitude of a first device (10) in a real space; a specifying unit (203) that specifies, on the basis of the position / attitude information, the position of a virtual imaging device provided in a virtual space associated with the real space; a correction unit (207, 210) that corrects the imaging range (A) of the imaging device in the position and attitude specified by the specifying unit (203) on the basis of the terrain in the virtual space; and a video generation unit (212) that generates a video of the virtual space corresponding to the imaging range (A).

The invention discloses a crop area and phenological index extraction method, which comprises the following steps of: preprocessing an SAR (Synthetic Aperture Radar) image, including track correction, thermal noise removal, radiometric calibration, speckle filtering, terrain correction and decibel processing, so as to obtain a backscattering coefficient of crop VV / VH; constructing a feature vector according to a backscattering coefficient of crop VV / VH, proposing a full convolutional neural network model based on a time sequence, and meanwhile, performing crop planting area drawing according to time sequence SAR (Synthetic Aperture Radar) image data; in combination with an SAR-VV / VH method, a crop phenological index is extracted according to a regional crop growth cycle; compared with the existing random forest algorithm, the extraction method based on the full convolutional neural network has the advantages that the crop extraction precision is high, the spatial texture information of the crop plot can be relatively completely reserved, the purpose of accurate crop drawing is achieved, and the method has high applicability in crop extraction.