180 results about "Ultrahigh resolution" patented technology

The invention provides an ultrahigh-resolution remote sensing image segmentation method based on frequency domain information fusion. The ultrahigh-resolution remote sensing image segmentation method based on frequency domain information fusion comprises the following steps: step 1, acquiring a Vaihingen and Potsdam remote sensing data set; step 2, building an ultrahigh resolution remote sensing image segmentation network fused with multivariate frequency domain information; step 3, inputting the Vaihinge training set into the ultra-high resolution remote sensing image segmentation network for training to obtain an optimal parameter model; 4, inputting the Vaihinge test set into the optimal parameter model, and outputting an accurate segmentation image of the remote sensing image; and 5, replacing the data set with a Potsdam training set, a Potsdam verification set and a Potsdam test set, and repeating the operations from the step 3 to the step 4. According to the model, the LKResNet-18 network is introduced, so that the receptive field and the feature representation capability of local branches are improved.

The invention discloses an ultra-high resolution remote sensing image semi-supervised change detection method based on pseudo label boundary quality improvement. The change detection aims to explore a change region of an image at a later moment compared with an image at a previous moment in a dual-time image; according to the method, semi-supervised learning guidance is enhanced through a high-quality pseudo tag, and the method comprises the following steps: 1, preparing a semi-supervised learning training data set; 2, building a teacher model and a student model; 3, starting training, reasoning data of the training data set by the student model, and generating corresponding rough and false labels by utilizing the teacher model; 4, refining the rough and false labels by using a boundary optimization method, and calculating the consistency loss of the labels and the reasoning result loss of the student model; 5, calculating the total loss, and updating the parameters of the student model and the teacher model; 6, finishing training, and performing change detection on the remote sensing double-time image by the student model; according to the method, the semi-supervised change detection performance which is limited by rough false label boundaries and cannot be further improved is improved.

The invention discloses a method for reconstructing an ultrahigh-resolution pathological full slice. The method comprises the following steps: acquiring an effective tissue area image of a pathological tissue fragment by utilizing a fusion mask; an edge classification model and an image enhancement strategy are adopted to obtain an effective splicing edge of the effective tissue area image; constructing a multi-dimensional matching scoring system to calculate a geometric matching degree of a splicing edge, and screening out an optimal Top-N splicing scheme in combination with splicing quality evaluation of a deep neural network; and based on a genetic algorithm, combining global topological optimization, sub-pixel level fine tuning and a multi-dimensional matching scoring system to evaluate splicing quality, realizing iterative stitching of the effective tissue area image, and finally outputting an optimal splicing scheme. Reconstructing a full-slice image of the pathological tissue based on the optimal splicing scheme; the method has efficient and accurate automatic splicing and iterative optimization capability, and rapid reconstruction of the ultrahigh-resolution pathological full slice is realized.

The invention discloses an ultrahigh resolution interferometer measurement method and system based on a phase shift gauge block, and the method comprises the steps: placing an ultrahigh resolution interferometer and a preset phase gauge block in a heat preservation box, and introducing two kinds of frequency stabilization laser into the heat preservation box through a single-mode optical fiber; obtaining interference fringe data by adopting a five-step phase shift method, and adjusting the interference fringe data according to the laser wavelength to obtain adjusted data; acquiring environmental data containing the preset phasor block in the heat preservation box, and correcting the adjustment data by eliminating change influence based on the environmental data to obtain corrected data; determining the length of the preset phasor block according to the decimal number of the interference fringes and the integer series of the interference fringes under different wavelengths through a multi-wavelength decimal superposition method, obtaining the measurement data of the Korotkoff interferometer, carrying out the adaptive compensation of the phase shifter, correcting the length according to the uncertainty of the measurement data, and obtaining the phase of the Korotkoff interferometer. The output is a measurement result.

The invention discloses a non-abandoned inheritance display method and system based on artificial intelligence, and particularly relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring dynamic detail time sequence data from a capture system in real time, analyzing track smoothness by using Fourier transform, generating a lossless reference model by using ultrahigh-resolution 3D scanning and image equipment, and performing texture consistency analysis on a difference salient region by combining point cloud registration and a difference heat map to evaluate spatial deviation of a track. Judging the fidelity of dynamic details, comprehensively evaluating the capture accuracy in combination with the smoothness and the fidelity, dividing capture results into accurate capture and inaccurate capture, and archiving the accurately captured data to realize efficient reuse; for data which are not accurately captured, track dynamic complementation is carried out through an autoregression integral moving average model, the accuracy and integrity of non-abandoned dynamic detail capturing are remarkably improved, it is ensured that the display effect is real and coherent, and accurate inheritance and wide propagation of non-abandoned cultural connotation are facilitated.

The invention discloses an urban landscaping tree species classification method based on a Pleiades Neo ultrahigh resolution multispectral satellite image. According to the invention, based on the Pleiades Neo image, an NDVI threshold method is adopted to rapidly identify the urban vegetation area; using a Unet < 3 + > model to separate vegetation in the shadow area and the illumination area; a shadow region tree species classification integration model is constructed by combining a superpixel segmentation algorithm and introducing a weighted dictionary and an attention mechanism, so that the classification precision is effectively improved; and carrying out tree species classification on the illumination area by using a deep learning algorithm and making an overall tree species distribution diagram. Aiming at the shadow interference problem in a high-resolution image, a set of tree species classification scheme comprehensively considering vegetation spectrum characteristics of an illumination region and a shadow region is developed by combining a deep learning algorithm to deeply mine potential information, a more accurate and feasible tree species distribution acquisition approach is provided for fine management of urban landscaping, and the urban landscaping quality is improved. And important data support is provided for health assessment and planning of the urban ecosystem.

The invention provides a method and equipment for generating an ultrahigh-resolution city layout by using a design drawing, and a medium, relates to the field of image generation, and is used for solving the problem that a traditional automatic city generation program is based on rules and lacks flexibility. The method comprises the steps of obtaining a target city layout design drawing drawn by a user; according to a preset step length and a preset sequence, sequentially extracting design sub-drawings with preset window sizes from the target city layout design drawing; coding the design sub-graph into a condition vector feature graph; inputting the character cue words and the condition vector feature graph into a generative model to obtain a partial city layout map corresponding to the design sub-graph; the character prompt words are used for describing task information of image generation; and filling the partial city layout map into corresponding positions in the blank map until the target city layout design drawing is traversed, and obtaining a target city layout map. The method can adapt to design drawings with different complexities and flexibly and automatically generate the city layout map.

The invention relates to an ultra-high resolution video real-time distortion correction device based on an FPGA (Field Programmable Gate Array), which belongs to the technical field of video image processing and comprises a distortion correction calculation unit, a Flash memory, a DDR4 memory and a QDR II + SRAM (Quadrature Data Rate II + Static Random Access Memory) memory which run on an FPGA chip in a helmet display system, and the distortion correction calculation unit is used for distortion correction of image data processed by a GPU (Graphic Processing Unit) on a helmet; the Flash memory pre-stores a lookup table for distortion correction which is sequenced according to the sequence of input pixels, and the lookup table is used for querying the mapping relation between the input pixels and the output pixels; the DDR4 memory is used for reading the lookup table in real time in the operation process of the distortion correction calculation unit; and the QDR II + SRAM memory is used for performing pixel caching and outputting on the data calculated by the distortion correction calculation unit, so that the problem that the pixel calculation sequence and the pixel output sequence are inconsistent is solved.

The embodiment of the invention provides a high-resolution portrait photo processing method and device, equipment and a medium, and relates to the technical field of image processing. The method comprises the following steps: acquiring an original portrait picture, wherein the original portrait picture is a high-resolution portrait picture; performing skin segmentation on the original human image photo to obtain a skin area mask; slicing the original human picture to obtain a plurality of image slices; determining a target image slice from the plurality of image slices by adopting a skin area mask; processing the target image slice by adopting a preset flaw removing network to obtain a target flaw removed slice image of the target image slice; and generating a target effect picture corresponding to the original figure picture according to the target flaw removal slice picture and the original figure picture. Therefore, by firstly slicing and then removing the flaws, the flaw detection is avoided, the flaw removing precision is improved, the image processing of the ultrahigh-resolution large image is also realized, the image processing application range is expanded, and the image processing cost is reduced.

The invention discloses a one-dimensional ultra-wide field-of-view ultra-high spectral resolution dispersion coherent imaging spectrometer, which belongs to the technical field of spectral imaging, and comprises a first microlens array used for obtaining incident light of a one-dimensional ultra-wide field-of-view in a horizontal plane; the plurality of optical fibers are used for transmitting incident light of a one-dimensional ultra-wide field of view; the second micro lens array is used for collimating incident light from each optical fiber into broadband parallel light beams; the grating beam splitter interferometer is used for dispersing the broadband parallel light beams into a plurality of narrow-band parallel light beams with different propagation directions; the cylindrical lens is used for converging the two paths of coherent light of each narrow-band parallel light beam to a target block of the detector, and converging the narrow-band parallel light beams with different propagation directions to different target blocks respectively; and the detector is used for obtaining a continuous broadband ultra-high resolution spectrum according to the two paths of coherent light received by each target block. According to the invention, a one-dimensional ultra-wide field of view is obtained in a horizontal plane, and ultra-high spectral resolution can be obtained.

The invention provides a triboelectric displacement sensor with ultrahigh resolution and a crack monitoring system. The sensor comprises a base, a rack, a rack connecting seat, a gear, a planetary gear accelerator, a fixed end cover, a rotor assembly and a stator assembly. Through a gear and rack transmission mode, rotation speed amplification of a planetary gear accelerator and a multi-phase special electrode arrangement mode, tiny displacement changes of crack cracking are converted into electric signal output, and a crack monitoring system is developed through signal processing and digital-to-analog conversion; and the visual real-time monitoring of the crack displacement width and speed is realized. Compared with the prior art, the method has the advantages of high resolution, high-precision monitoring, low cost and no use space limitation.

The invention discloses a satellite-borne ultrahigh-resolution SAR (Synthetic Aperture Radar) system and a working method thereof. The system comprises a signal processor, a frequency multiplication unit, a receiver, a synthesis network front end, a traveling wave tube amplifier group, an amplitude limiting low noise amplifier, a magic T, a waveguide switch, a circulator, a waveguide load and an umbrella antenna, the system is loaded on an agile satellite platform, and large-angle scanning imaging of a target area is achieved by means of maneuvering of the platform. Various working methods are provided through combination of output signals of different ports of the magic T. The ultra-high resolution imaging system has the advantages that ultra-high resolution imaging superior to centimeter-level resolution is realized, the working mode is flexible, the reliability is good, the system composition is simple, the volume and the weight of the product are reduced through centralized transmitting and receiving, the weight is light, the heat consumption is small, and the engineering development cost and difficulty are reduced.

The invention discloses an object space telecentric lens with a long working distance and a large numerical aperture. The object space telecentric lens comprises a front lens group, an aperture diaphragm and a rear lens group which are sequentially arranged from an object space to an image space along an optical axis of the lens. The front lens group comprises a first lens with positive focal power, a second lens with positive focal power, a fourth lens with positive focal power, a sixth lens with positive focal power, an eighth lens with negative focal power, a third lens with negative focal power, a fifth lens with negative focal power, a seventh lens with negative focal power and a ninth lens with negative focal power, the eighth lens and the ninth lens form a second group of doublet lenses, and the fifth lens, the sixth lens and the seventh lens form a first group of triplet lenses. The rear lens group includes a tenth lens and a twelfth lens having positive refractive power, and an eleventh lens and a thirteenth lens having negative refractive power. According to the invention, the thirteen spherical glass lenses are adopted, and the focal power of each lens is reasonably distributed, so that the lens has the advantages of long working distance, large numerical aperture, ultrahigh resolution, high relative illumination, wide spectral range, high telecentricity and the like, and the problem of low resolution of a long-working-distance object space telecentric lens is solved. The measurement precision of the detection lens is improved, and the requirements of some application scenes for higher-performance lenses are met.

The invention belongs to the technical field of metal material surface treatment, and discloses a composite preparation method of an ultrahigh-resolution-rate alpha + beta phase region thermal deformation high-strength titanium alloy EBSD sample, which comprises the following steps: mechanically grinding a to-be-tested surface of the alpha + beta phase region thermal deformation high-strength titanium alloy EBSD sample; performing electrolytic polishing in an electrolytic polishing solution which is prepared from perchloric acid and absolute ethyl alcohol and is naturally cooled to room temperature, and then performing four-stage short-time ion beam etching to obtain an ultrahigh-resolution-rate alpha + beta phase region thermal deformation high-strength titanium alloy EBSD sample; and ion beam etching parameters of each stage of the four-stage short-time ion beam etching are given. The technical problem that in the prior art, a preparation method of an alpha + beta phase region thermal deformation high-strength titanium alloy EBSD sample with the ultrahigh resolution rate (the resolution rate is 98% or above) does not exist is solved.

A circulating refrigeration system without liquid helium consumption. The system comprises: a liquid-helium-free refrigerating machine (40); a copper shielding tube (10), one end of the copper shielding tube (10) being connected to a shielding cylinder (5) of the liquid-helium-free refrigerating machine (40), and a first-stage cold head connector (11) and a second-stage cold head connector (13) being provided at the other end of the copper shielding tube (10); a first-stage cold shield, which is connected to the first-stage cold head connector (11) by means of a copper braid and is arranged on the outer ring of a μ metal cover; the μ metal cover, which is connected to the first-stage cold head connector (11) by means of the copper braid and is connected to the first-stage cold shield by means of a first-stage cold shield copper braid, wherein the μ metal cover, as a fixing ring, is in vacuum connection with a lower pole piece of an electron microscope, and the μ metal cover is connected to a Z-axis piezoelectric ceramic holder in a sample chamber (8) by means of a thermally insulating gasket; and a sample stage fixing member (28), which is connected to the second-stage cold head connector (13) by means of the copper braid. The present application can achieve a required liquid-helium temperature range environment for a long time, thereby greatly reducing the experiment cost, reducing mechanical vibrations, improving the transverse resolution, and thus realizing an ultrahigh resolution of an electron microscope.

The invention belongs to the technical field of chemical detection, and particularly relates to a Raman-LIBS-mass spectrometry combined analysis device and analysis method.The Raman-LIBS-mass spectrometry combined analysis device comprises a multiple reflection time-of-flight mass spectrometer, an LIBS spectrometer, a Raman spectrometer and a common module; the common module comprises a first incident light path system, a second incident light path system, a high-definition observation system, a vacuum sample bin, a vacuum system and a control system; the first incident light path system is used for generating a femtosecond laser beam and performing three-dimensional denudation on a sample; and the second incident light path system is used for combining the tunable laser into a resonant ionization light path. Compared with the prior art, in-situ micro-area ultrahigh-resolution element and isotope analysis and imaging can be achieved, ultra-trace element and isotope analysis and isotope ratio analysis under strong matrix interference are achieved, and meanwhile high-resolution molecular structure and composition analysis and Raman scattering imaging can be conducted.

Aluminoborosilicate glass compositions, products including the same, methods of making the same, and methods of using the same are provided. Such glass compositions include an alkaline earth metal oxide. The glass composition includes low concentrations of boron oxide and strontium oxide. Such glass compositions may be substantially alkali free. The glass compositions exhibit desirable physical and chemical properties, such as high annealing point, high modulus of elasticity, low stress optical coefficient (SOC), low T (35kP) and T (200P), and desirable liquid phase viscosity. The glass composition is suitable for use as a substrate in a flat panel display device having ultra-high resolution, such as an active matrix liquid crystal display (AMLCD).

The invention discloses an ultrahigh-resolution immersive scene rendering method based on hexagonal picture segmentation. The method comprises the following steps: 1, determining a hexagonal segmentation style of an immersive display surface; 2, unfolding the immersive display surface into a plane; 3, acquiring 3D point information of each hexagonal surface, respectively calculating the width W and the height H of the enveloping quadrilateral surface, and calculating a local coordinate system V of the hexagonal surface S; 4, using W, H and V to construct a view cone and a viewpoint matrix of the three-dimensional scene; 5, setting a shade M of a plane expansion view for the hexagonal surface S; 6, calling a rendering scene of the 3D scene for the mask region by using information of the view cone and the viewpoint matrix, and rendering the mask region into a picture at the position S of the hexagonal surface; and 7, repeating the steps 5-6, and sequentially carrying out the same treatment on each hexagonal surface. According to the method and the device, the ultrahigh-resolution picture can be rendered in a scene segmentation form, and the method and the device are suitable for ultrahigh-resolution picture rendering under immersive display equipment.

Aluminosilicate or aluminoborosilicate glass compositions and products comprising the same are provided. Such glass compositions are substantially alkali-free and include alkaline earth metal oxides. The glass composition may include a low concentration of boron oxide. The glass compositions exhibit desirable physical and chemical properties, such as improved annealing point (e.g., above 775 DEG C), improved elastic modulus, reduced stress optical coefficient (SOC), and desirable liquidus viscosity. The glass composition is suitable for use as a substrate in a flat panel display device having ultra-high resolution, such as an active matrix liquid crystal display (AMLCD).

According to the broadband ultrahigh-resolution spectrometer grating turntable precision control method based on the PSO-RBF neural network provided by the invention, the PSO algorithm is taken as an efficient global optimization method, the PSO algorithm and the RBF neural network are organically combined, the PSO global optimization and the online learning ability of the RBF neural network are fused, and the precision of the grating turntable of the broadband ultrahigh-resolution spectrometer is improved. An intelligent control system suitable for precise control of the grating rotary table is constructed, effective compensation of the system for nonlinear characteristics and parameter uncertainty is achieved, the positioning precision and the anti-interference capacity of the system are improved, and the requirement for ultrahigh-resolution spectral measurement under the condition of multiple diffraction is met.

The invention discloses a hyperspectral generation method and device based on spatial super-division enhancement, and the method comprises the steps: carrying out the up-sampling of a preprocessed hyperspectral image through employing an interpolation technology, cutting a plurality of training blocks from the hyperspectral image after the up-sampling through employing a cutting technology, and generating a training sample; extracting three wave bands from each training block, and combining the three wave bands into an RGB image; constructing a generative model; wherein the generation model comprises a DSRNet model and a rectangular attention guiding network; setting a generation condition for the ultrahigh-resolution hyperspectral image; obtaining training samples as a training set; performing iterative training on the generative model by using the training set to obtain a final generative model; wherein the final generation model is used for responding to various generation conditions to generate a hyperspectral image meeting the generation conditions. The problem of how to realize high-quality, high-diversity and controllable hyperspectral image generation is solved.

The application belongs to the technical field of chemical detection, and particularly relates to a Raman-LIBS-mass spectrometry combined analysis device and analysis method. The Raman-LIBS-mass spectrometry combined analysis device comprises a multiple-reflection time-of-flight mass spectrometer, a LIBS spectrometer, a Raman spectrometer and a shared module. The shared module comprises a first incident light path system, a second incident light path system, a high-definition observation system, a vacuum sample bin, a vacuum system and a control system. The first incident light path system is used for generating a femtosecond laser beam and performing three-dimensional ablation on a sample. The second incident light path system is used for combining tunable lasers into a resonance ionization light path. Compared with the prior art, the application can realize in-situ micro-area ultra-high resolution element and isotope analysis and imaging, realize ultra-trace element, isotope analysis and isotope ratio analysis under strong matrix interference, and can also perform high-resolution molecular structure and composition analysis and Raman scattering imaging.

The application discloses a high-uniform seamless splicing system and a brightness adjusting method for light field display, and belongs to the technical field of light field display. The system uses a minimum display unit modular splicing architecture to realize super-high resolution display, adopts a composite microlens array to realize axial displacement of an imaging surface, covers a gap between adjacent display units through optical expansion of a pixel matrix, and eliminates parallax faults caused by physical splicing seams. The system integrates a distributed dynamic uniform light module, collects brightness data of a display area in real time, performs brightness compensation on a low-illumination area through array light source driving control, changes a light transmittance, and regulates and controls pixel-level brightness uniformity of the system. The scheme effectively solves the problems of pixel continuity loss and adjacent dimming area light coupling in high-resolution light field reconstruction. The system is widely applicable to light field three-dimensional display, and is a scheme for improving three-dimensional display effect.

The invention relates to a light-emitting device and a preparation method and application thereof, the light-emitting device comprises a transparent conductive substrate, a hole transport layer, a light-emitting layer, a photoresist layer, an electron transport layer and an electrode layer, the photoresist layer is located between the light-emitting layer and the electron transport layer, the light-emitting layer is of a continuous layer structure, and the photoresist layer comprises pixel holes. According to the light-emitting device provided by the invention, the photoresist layer is arranged between the continuous light-emitting layer and the electron transport layer, and the pixel holes are formed in the photoresist layer, so that the region blocked by the photoresist and the region not blocked by the photoresist are formed on the surface of the light-emitting layer, the patterned isolation of the pixels of the light-emitting layer is realized, the integrity of the light-emitting layer is ensured, and the light-emitting efficiency is improved. And ultrahigh resolution can also be obtained, so that the light-emitting device can obtain bright, efficient and uniform light emission.

The invention discloses an ultrahigh-resolution image denoising method based on pixel recombination sampling and partitioning. The method comprises the following specific steps: carrying out pixel recombination down-sampling partitioning on paired noisy and noiseless ultrahigh-resolution images to generate a data set; constructing a deep learning network which uses the image blocks and the image blocks with adjacent pixels and is composed of two denoising networks and a fusion network; jointly training the whole network based on three loss functions which respectively constrain the two denoising networks and the fusion network; when reasoning is carried out, pixel recombination down-sampling blocking is carried out on a noisy ultrahigh-resolution image, image blocks and image blocks adjacent to pixels of the image blocks are sent into a network to be denoised, and pixel recombination up-sampling splicing is carried out, so that a total image denoising result of the ultrahigh-resolution image is obtained. According to the method, the local information and the non-local information of the ultrahigh-resolution image are fully utilized, and the defects that the non-local information is difficult to utilize during block denoising and the detail textures of the image are damaged by traditional downsampling are overcome.

The invention relates to the field of computer vision, in particular to a balanced global and local representation network and method for ultrahigh-resolution remote sensing image change detection, which can keep more change features, effectively balance global and local representation and finally guide the generation of a change graph by using deep semantic information. Specifically, according to the network provided by the invention, a visual Mangbar feature encoder is used for replacing common convolutional neural network feature encoding, and features of the visual Mangbar feature encoder are processed by using a gating fusion method, a balanced global and local characterization method and a deep semantic refinement method. More change features are kept, global and local features are balanced, and a pseudo change region is suppressed and a change region is enhanced by using deep semantic information features. According to the invention, the network is matched with an ultrahigh-resolution remote sensing image change detection method, so that the performance of ultrahigh-resolution remote sensing image change detection is greatly improved.

The invention discloses a picture loading method and device, equipment, a storage medium and a computer program product, and the method comprises the steps: responding to a preview request of a client for a to-be-loaded picture, obtaining the size of a current display window of the client and the position information of the to-be-loaded picture, and determining an initial fragment of the to-be-loaded picture currently displayed by the client; determining a corresponding next-level target fragment according to the initial fragment; according to the position information of the target fragments, the average feature number and the size of the current display window, calculating a loading weight of each target fragment; and according to the loading weight of each target fragment, loading each target fragment on the client in sequence for display. According to the method, multi-fragment loading display is added, loading of the ultrahigh-resolution picture is supported, the picture fragments are optimized, the granularity of preview is refined, the weights of the loaded fragments are determined according to the image features, the preview experience of a key area is effectively improved, and the loading speed of the fragments which a user is interested in is increased.

A marine survey system and method for ultrahigh resolution (UHR) mapping of a marine bottom (B) below a body of water (W) by means of a frame (20) towed as a whole by one or more towing cables (12) at a distance (Xf) behind a marine vessel (10) moving over the water (W) in a movement direction (V). The frame (20) comprises a rigid framework (23) and a plurality of independent acoustic sources (21), wherein each acoustic source (21) is independently controlled to emit a separate acoustic wave (A) propagating through the water (W) and reflecting off bottom regions of the marine bottom (B) for the mapping thereof. The acoustic sources (21) are kept fixated by the rigid framework (23) at a source-to-source distance (Ys) less than four meters in a transverse direction (Y) perpendicular to the movement direction (V) of the vessel (10) to distinguish the bottom regions with an ultrahigh resolution (Ry) of less than two meters at least in the transverse direction (Y).

The invention discloses an optical imaging lens and imaging equipment. The optical imaging lens sequentially comprises, from an object side to an imaging surface along an optical axis, a first lens having negative focal power and with the object side surface to be a convex surface and the image side surface to be a concave surface, a second lens having negative focal power and with the object side surface to be a concave surface and the image side surface to be a convex surface, a third lens having positive focal power and with both the object side surface and the image side surface to be convex surfaces, a diaphragm, a fourth lens having positive focal power and with both the object side surface and the image side surface to be convex surfaces, a fifth lens having positive focal power and with both the object side surface and the image side surface to be convex surfaces, a sixth lens having negative focal power and with both the object side surface and the image side surface to be concave surfaces, and forming a cemented lens group with the fifth lens, and a seventh lens having positive focal power and with both the object side surface and the image side surface to be convex surfaces. The optical imaging lens provided by the invention has the characteristics of ultrahigh resolution, good thermal stability, large imaging surface and convenience in assembly.

The present application relates to a kind of railway tunnel disease intelligent detection method, including mixed resolution image acquisition, mixed resolution normalization preprocessing, double channel parallel disease detection, physical quantity calibration based on dynamic precision coefficient, dynamic splicing algorithm based on ROI feature fusion and mileage error dynamic calibration based on semantic anchor point.The present application is characterized in that, by mixed resolution normalization preprocessing, the compatibility problem of heterogeneous hardware is solved, the disease feature extraction precision of key area is retained using double-scale cascade detection mechanism, with dynamic precision coefficient matrix, the pixel physical mapping deviation caused by heterogeneous resolution is corrected, the accuracy of disease quantitative analysis and physical quantity inverse calculation is ensured;The present application significantly improves the processing efficiency of ultra-high resolution image, eliminates the mileage cumulative positioning error in long-distance inspection, realizes the full-quantitative accurate detection of track traffic tunnel disease in low-cost, high-efficiency environment.