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 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 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 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 relates to a multi-stereoscopic image fusion mapping method considering different illumination imaging conditions, comprising the following steps: 1) acquiring existing images in a research area, and selecting multiple coverage stereoscopic image pairs; 2) constructing an imaging geometric model of a remote sensing image; 3) ) carry out initial matching on the stereo image pair, and obtain the same-name point of the remote sensing image; step 4) carry out the beam adjustment of the stereo image area network on the imaging geometric model obtained in step 2), and obtain the refined imaging geometric model; 5) for each A group of stereoscopic image pairs is densely matched, and the set of image-space dense homonymous points of each group of stereoscopic image pairs is respectively obtained; 6) According to the refined imaging geometric model in 4), the image-space dense homonymous points obtained in step 5) are processed Intersection in front to obtain dense 3D point cloud of object space, and then obtain DEM through grid division and interpolation, and fuse DEM to obtain hole-free DEM; 7) Generate DOM according to hole-free DEM and refined imaging geometric model That is: an image with geographic information after terrain correction.

The invention discloses a novel vegetation index correction method that is resistant to terrain effects and background effects, including A collecting remote sensing images and DEM data of vegetation; Correction to obtain the surface reflectance; C calculate the vegetation index NIRv and terrain correction factor P corresponding to each pixel according to the slope data and surface reflectance; use the vegetation index NIRv and terrain correction factor P as input to calculate the anti-topography vegetation index. The method for correcting the original vegetation index by introducing a terrain correction factor proposed by the present invention has strong universality, strong resistance to terrain and the ability to characterize vegetation structure, and is expected to further improve the application potential of the vegetation index in mountainous areas.

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 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 metric wave radar terrain correction method based on a digital elevation model, which belongs to the technical field of metric wave radar signal processing. There is a flying target within the detection range of the metric wave radar; obtain the digital elevation model data, and determine the ADS‑B data of the flying target, and then determine the important reflection points in the spherical coordinate system; ‑B data and determine important reflection points, obtain the results of the correlation between the ADS‑B data of the flying target and the metric wave radar terminal data, and then obtain the altitude curve of the flying target; The metric wave radar altimetry error curve is corrected, and the final error correction result is obtained as a topographic correction result of the metric wave radar based on the digital elevation model.