568 results about "Large target" patented technology

The invention discloses a mechanical arm positioning and grabbing method based on machine vision, and relates to the technical field of machine vision and mechanical arm control, the method comprises the following steps: synchronously acquiring RGB-D images of a target scene through a multi-view camera array, and generating three-dimensional point cloud data through data fusion; an improved LSD algorithm and a PnP algorithm are adopted to calculate the initial pose of the target object, illumination distortion is eliminated in combination with the generative adversarial network, and three-dimensional coordinates are output; a mechanical arm motion error transfer model is constructed based on Monte Carlo simulation, and a candidate grabbing scheme set is generated through reinforcement learning; and an optimal grabbing scheme is screened through a preset priority evaluation rule, and a mechanical arm joint movement track and a control instruction set are generated. Through multi-modal data fusion and a nonlinear optimization algorithm, the technical problems of large target positioning deviation and sensitive illumination interference in a complex environment are solved, and the grabbing precision and robustness of the mechanical arm are improved.

The invention discloses a remote sensing image multi-scale semantic segmentation method based on a coding and decoding network, and relates to the technical field of computer vision and remote sensing image processing, and the method comprises the following steps: S1, obtaining image data, carrying out the preprocessing of an image, carrying out the normalization of the image to a specified size, and carrying out the data enhancement operation, the data enhancement operation comprises random rotation, overturning and zooming. According to the remote sensing image multi-scale semantic segmentation method based on the coding and decoding network, ResNeXt5032x4d is introduced to serve as a backbone network, grouping convolution is combined, multi-scale features are effectively extracted, the accurate recognition capacity of the model for the land cover type is improved, and through the fusion strategy of the self-adaptive feature cooperation module AFCM, the remote sensing image multi-scale semantic segmentation method based on the coding and decoding network is obtained. According to the method, local and global context information is fused, the segmentation capability of the model on a large target is enhanced through a parallel multi-scale convolution layer and cavity convolution, the accuracy and integrity of a segmentation result are ensured, and a segmented region is smoother and more complete.

The invention provides an optical lens, which comprises nine lenses from an object side to an imaging surface along an optical axis: a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power, the object side surface of the second lens is a convex surface, and the image side surface of the second lens is a concave surface; the object side surface of the third lens is a convex surface, and the image side surface of the third lens is a concave surface; the object side surface of the fourth lens is a concave surface, and the image side surface of the fourth lens is a convex surface; the object side surface of the fifth lens is a convex surface, and the image side surface of the fifth lens is a convex surface; the sixth lens has negative focal power; the seventh lens has positive focal power; the eighth lens has negative focal power; and the ninth lens has positive focal power. According to the optical lens provided by the invention, through specific surface shape matching and reasonable focal power distribution, the lens has one or more advantages of short focus, miniaturization, large field angle, large aperture, large target surface, low distortion and low sensitivity.

The invention provides a lightweight visible light ship target detection method based on edge feature guidance, and relates to the technical field of ship detection image data processing, and the method comprises the steps: collecting remote sensing satellite images, and carrying out the random distribution of the images after screening and marking, and obtaining a training set and a verification set; the backbone network module comprises a plurality of Conv modules and C3k2 modules which are mutually stacked; the neck module comprises a detail-enhanced convolution module and a hierarchical pyramid module based on dynamic feature aggregation; in the head module, after the features of all detection layers are subjected to independent convolution processing, feature transformation is carried out through a multi-branch detail enhancement convolution module; performing data enhancement on the training set; and obtaining a trained ship target detection model through a back propagation algorithm and a gradient descent optimization method. According to the invention, the lightweight and precision improvement of the detection head are realized, the robustness of the model to the illumination change is enhanced, and the global semantic information and the local detail features are fused to balance the detection of the small target and the large target.

The invention discloses a target tracking method fusing visual perception and motion control. The method comprises the following steps: improving a YOLOv8 model and pre-training the improved YOLOv8 model; s2, preprocessing an image acquired by a camera, inputting the preprocessed image into the YOLOv8 model trained in the step S1, and outputting a target bounding box and a target center pixel coordinate; target center pixel coordinates are transmitted to a development board of a pre-burning algorithm program through a serial port, the development board is designed according to a stepping motor mathematical model, sine acceleration and deceleration serve as the basis, PID control, sliding mode control and fuzzy control algorithms are fused, and code burning is generated after in-loop simulation optimization; and the development board drives a stepping motor to adjust the posture of the holder according to the target center pixel coordinate control instruction, so that the target stops moving after being kept in the view center. The problems that a traditional YOLOv8 model is large in target recognition error under the complex background, PID control is prone to oscillation under the nonlinear working condition, buffeting exists in sliding mode control, and response lags when fuzzy control is independently used are solved.

The invention provides an optical lens, which comprises nine lenses from an object side to an imaging surface along an optical axis: a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power, the object side surface of the second lens is a convex surface, and the image side surface of the second lens is a concave surface; the object side surface of the third lens is a convex surface, and the image side surface of the third lens is a concave surface; the object side surface of the fourth lens is a concave surface, and the image side surface of the fourth lens is a convex surface; the object side surface of the fifth lens is a convex surface, and the image side surface of the fifth lens is a convex surface; the sixth lens has negative focal power; the seventh lens has positive focal power; the eighth lens has negative focal power; and the ninth lens has positive focal power. According to the optical lens provided by the invention, through specific surface shape matching and reasonable focal power distribution, the lens has one or more advantages of short focus, miniaturization, large field angle, large aperture, large target surface, low distortion and low sensitivity.

The invention belongs to the technical field of image processing, and discloses a nonferrous metal target detection method and system for a scraped car. According to the method, through deep coupling of a GAN bimodal fusion network and a double-backbone network, a scraped car nonferrous metal target detection model is constructed, so that nonferrous metals in scraped cars are efficiently and accurately sorted. A bimodal fusion network is introduced into a model input layer, a fusion image with infrared thermal saliency and visible light texture features is generated, and the problem of cross-modal information splitting is solved; according to the dual-backbone network, standard convolution is replaced by a three-branch structure of an MGHCM module, large target contours, middle target semantics and small target details are synchronously captured, and self-adaptive shunting and efficient fusion of multi-scale features are achieved in cooperation with dynamic feature routing of a DHFBlock module; and the detection head network is optimized into a rotating frame prediction and cross-modal cross entropy classification mechanism so as to adapt to the placement scene of the metal fragments at any angle.

The invention provides an optical lens, which comprises nine lenses from an object side to an imaging surface along an optical axis: a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power, the object side surface of the second lens is a convex surface, and the image side surface of the second lens is a concave surface; the object side surface of the third lens is a convex surface, and the image side surface of the third lens is a concave surface; the fourth lens has negative focal power, and the object side surface of the fourth lens is a concave surface; the object side surface of the fifth lens is a convex surface, and the image side surface of the fifth lens is a convex surface; the sixth lens has negative focal power, and the image side surface of the sixth lens is a concave surface; the seventh lens has positive focal power; the eighth lens has negative focal power; and the ninth lens has positive focal power. According to the optical lens provided by the invention, through specific surface shape matching and reasonable focal power distribution, the lens has one or more advantages of short focus, miniaturization, large field angle, large aperture, large target surface, low distortion and low sensitivity.

The invention provides an optical lens, which comprises nine lenses from an object side to an imaging surface along an optical axis: a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power, the object side surface of the second lens is a convex surface, and the image side surface of the second lens is a concave surface; the object side surface of the third lens is a convex surface, and the image side surface of the third lens is a concave surface; the object side surface of the fourth lens is a concave surface, and the image side surface of the fourth lens is a convex surface; the object side surface of the fifth lens is a convex surface, and the image side surface of the fifth lens is a convex surface; the sixth lens has negative focal power; the seventh lens has positive focal power; the eighth lens has positive focal power; and the ninth lens has positive focal power. According to the optical lens provided by the invention, through specific surface shape matching and reasonable focal power distribution, the lens has one or more advantages of short focus, miniaturization, large field angle, large aperture, large target surface, low distortion and low sensitivity.

The invention discloses an infrared anti-unmanned aerial vehicle detection method based on an improved YOLO framework. The infrared anti-unmanned aerial vehicle detection method comprises the following steps: S1, preprocessing an infrared image and calculating energy distribution; s2, embedding the backbone network into an improved convolution module and adaptive wavelet basis convolution, and optimizing feature extraction in stages; s3, reinforcing local details and global contours of the feature maps by a multi-granularity pooling mechanism; s4, realizing cross-layer feature fusion through a feature aggregation propagation mechanism, and generating a comprehensive multi-scale feature map; s5, a lightweight detection channel is specially arranged to enhance the small target detection capability, and other standard detection heads are responsible for classified positioning of medium and large targets; and S6, outputting a final prediction result through a context sensing weighted frame fusion algorithm. Through adaptive wavelet feature enhancement, multi-granularity feature optimization, a lightweight detection head and an intelligent frame fusion technology, the problems of small target leak detection, background interference and multi-scale detection real-time performance in an infrared scene are solved, and the all-weather detection capability and the positioning precision are remarkably improved.

The invention provides an optical lens, which comprises seven lenses, and sequentially comprises a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power from an object side to an imaging surface, the object side surface of the second lens is a concave surface, and the image side surface of the second lens is a convex surface; the object side surface of the third lens is a convex surface, and the image side surface of the third lens is a concave surface; the object side surface and the image side surface of the fourth lens are convex surfaces; the object side surface of the fifth lens is a convex surface, and the image side surface of the fifth lens is a concave surface; the sixth lens has negative focal power, and the image side surface of the sixth lens is a concave surface; the seventh lens has positive focal power; the curvature radius R9 of the object side surface of the fifth lens and the curvature radius R10 of the image side surface of the fifth lens meet the formula:-0.85 lt; (R9-R10) / (R9 + R10) lt; and-0.4. According to the optical lens provided by the invention, through specific surface shape matching and reasonable focal power distribution, the lens has one or more advantages of a large field angle, a large target surface, a large aperture, high imaging quality and the like.

The invention provides an optical lens, which comprises nine lenses from an object side to an imaging surface along an optical axis: a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power, the object side surface of the second lens is a convex surface, and the image side surface of the second lens is a concave surface; the object side surface of the third lens is a convex surface, and the image side surface of the third lens is a concave surface; the image side surface of the fourth lens is a convex surface; the object side surface of the fifth lens is a convex surface, and the image side surface of the fifth lens is a convex surface; the sixth lens has negative focal power, and the image side surface of the sixth lens is a concave surface; the seventh lens has positive focal power; the eighth lens has positive focal power; and the ninth lens has negative focal power. According to the optical lens provided by the invention, through specific surface shape matching and reasonable focal power distribution, the lens has one or more advantages of short focus, miniaturization, large field angle, large aperture, large target surface, low distortion and low sensitivity.

The utility model relates to an optical lens, which sequentially comprises a first lens, a second lens, a third lens and a fourth lens along the optical axis from the object side to the image side, a first lens with positive focal power, a second lens with negative focal power, a third lens with positive focal power, a fourth lens with positive focal power, a fifth lens with negative focal power, a sixth lens with positive focal power, a seventh lens with negative focal power and an eighth lens with negative focal power are included. The combined effective focal length of the first lens and the second lens is F12, and the Abbe number Vd1 of the first lens and the Abbe number Vd2 of the second lens meet the following relation: F12 / (Vd1-Vd2) is greater than or equal to 1 and less than or equal to 4.85. The optical lens at least has one of the characteristics of large field of view, miniaturization, large target surface, high resolution, low distortion and the like.

The invention provides an optical lens, which comprises six lenses which sequentially comprise a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power from an object side to an image side along an optical axis, the second lens has positive focal power; the third lens has positive focal power; the object side surface of the fourth lens is a concave surface, and the image side surface of the fourth lens is a convex surface; the fifth lens has negative focal power; the sixth lens has positive focal power, and the object side surface of the sixth lens is a convex surface; wherein the curvature radius R5 of the object side surface of the third lens and the curvature radius R6 of the image side surface of the third lens meet the following formula:-1lt; (R5-R6) / (R5 + R6) lt; and 0.9. According to the optical lens provided by the invention, the imaging quality of the optical lens can be improved, the aberration can be reduced, the imaging quality of the optical lens can be improved, and the lens has one or more advantages of miniaturization, large target surface, large aperture, large field angle, high imaging quality and the like.

The invention discloses a low-scattering support system design and optimization method for large-scale target external field measurement, the support system comprises a support and a low-scattering end cap, and the low-scattering end cap is connected with the top of the support; the method comprises the following steps: S1, constructing a bracket geometric model based on a low-scattering shape design formula, and evaluating the bearing capacity of a bracket; s2, performing electromagnetic solution on the bracket by using a non-conformal region decomposition area integral equation method, and optimizing a bracket geometric model; s3, constructing a low-scattering end cap based on a low-scattering shape design formula; and S4, placing the low-scattering end cap at the top of the bracket to form a low-scattering support system, and evaluating the composite backscattering of the low-scattering support system by using a non-conformal region decomposition area integral equation. According to the low-scattering supporting system, high bearing capacity and good low-scattering performance are both considered, and reliable supporting guarantee can be provided for external field measurement of a large target.

The invention provides an optical lens, which comprises seven lenses, and sequentially comprises a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power from an object side to an imaging surface, the object side surface of the second lens is a concave surface, and the image side surface of the second lens is a convex surface; the object side surface of the third lens is a convex surface, and the image side surface of the third lens is a concave surface; the object side surface of the fourth lens is a convex surface, and the image side surface of the fourth lens is a convex surface; the object side surface of the fifth lens is a convex surface, and the image side surface of the fifth lens is a convex surface; the object side surface of the sixth lens is a convex surface, and the image side surface of the sixth lens is a concave surface; and the object side surface of the seventh lens is a concave surface, and the image side surface of the seventh lens is a convex surface. According to the optical lens provided by the invention, through specific surface shape matching and reasonable focal power distribution, the lens has one or more advantages of a large field angle, a large target surface, a large aperture, high imaging quality and the like.

The invention discloses an automatic labeling method and system for small target detection data, a storage medium and electronic equipment, and the method comprises the steps: carrying out the target detection of a collected narrow-field camera image through a target detection model, obtaining a large target detection bounding box of the narrow-field image, carrying out the image registration of the wide-field camera image, and obtaining a large target detection bounding box of the narrow-field image; the method comprises the following steps: acquiring a homography matrix for converting a narrow-field-of-view image into a wide-field-of-view image, a registered narrow-field-of-view camera image and a wide-field-of-view small target bounding box before adjustment, and adjusting the position of the wide-field-of-view small target bounding box to obtain an accurately labeled small target bounding box. And training the target detection model by using the accurately labeled small target bounding box to obtain a trained small target detection model. According to the method, the labeling precision of the small target detection data is improved, and labeling missing is reduced.

The invention relates to a multi-scale adaptive detection method and system for an infrared image of an unmanned aerial vehicle, computer equipment, a storage medium and a computer program product. The method comprises the following steps: preparing and inputting infrared image data; performing reasoning and dynamic adaptive slicing processing on the infrared image data; building a detection framework model; performing model training and optimization based on the sliced infrared image data; and generating an image detection result. The problems of large target scale difference, low contrast, high noise, complex image, blurred target and the like in unmanned aerial vehicle infrared image target detection in the prior art are solved, and the detection performance is remarkably improved. Besides, a YOLOv8 + SAHI + ULSAM integrated model is adopted to carry out target detection on the infrared image of the unmanned aerial vehicle, a target under a complex background can be identified more accurately through the improved YOLOv8 model, the ULSAM module is light in weight, and the calculation burden cannot be remarkably increased.

The invention provides an imaging lens, a camera module and electronic equipment, the imaging lens sequentially comprises a first lens group and a second lens group from an object side to an image side along an optical axis, the first lens group comprises a first lens with positive refractive power, a second lens with negative refractive power, and a third lens with positive refractive power, the second lens group includes a fourth lens element with positive refractive power, a fifth lens element with negative refractive power, and a sixth lens element with negative refractive power. The position of the first lens group is fixed relative to an imaging surface of the camera module, the second lens group is located between the first lens group and the imaging surface, the second lens group can move between the first lens group and the imaging surface along an optical axis, and the imaging lens satisfies 1lt; (FG1-FG2) / Finf < lt >; 2. According to the imaging lens, the camera module and the electronic equipment provided by the invention, the characteristics of long focus, large aperture and large target surface can be realized, and the shooting quality of the imaging lens in different environments and conditions is improved.

The utility model provides an ultra-wide-angle prime lens, and relates to the technical field of optical lenses. The ultra-wide-angle prime lens comprises a first lens with negative focal power, a second lens with negative focal power, a third lens with positive focal power, a fourth lens with positive focal power, a fifth lens with negative focal power, a sixth lens with positive focal power and a seventh lens with positive focal power which are sequentially arranged from the object space to the image space along the optical axis. The lens further comprises a diaphragm which is located between the third lens and the fourth lens. The ultra-wide-angle prime lens provided by the embodiment of the utility model can realize miniaturization under the condition of a large field angle, can be still adaptive to a large-target-surface chip, can be compatible with more chip types, can be confocal day and night, and can meet the use requirements under more conditions.

The invention provides an optical lens, which comprises six lenses which sequentially comprise a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power from an object side to an image side along an optical axis, the object side surface of the second lens is a convex surface, and the image side surface of the second lens is a concave surface; the object side surface of the third lens is a convex surface; the object side surface of the fourth lens is a concave surface, and the image side surface of the fourth lens is a convex surface; the fifth lens has negative focal power; and the object side surface of the sixth lens is a convex surface, and the image side surface of the sixth lens is a convex surface. According to the optical lens provided by the invention, the imaging quality of the optical lens can be improved, the aberration can be reduced, the imaging quality of the optical lens can be improved, and the lens has one or more advantages of miniaturization, large target surface, large aperture, large field angle, high imaging quality and the like.

The utility model provides an all-glass vehicle-mounted day and night confocal optical system and a camera module applying the same, mainly comprising eight lenses, the first lens has negative focal power, the object side surface is a convex surface, and the image side surface is a concave surface, the second lens has negative focal power, the object side surface is a concave surface, and the image side surface is a convex surface. The third lens has positive focal power, the object side surface is a convex surface, the image side surface is a concave surface, the fourth lens has negative focal power, the object side surface is a convex surface, the image side surface is a concave surface, the fifth lens has positive focal power, the object side surface is a convex surface, the image side surface is a convex surface, and the fourth lens and the fifth lens form a bonding lens. The sixth lens has positive focal power, the object side face of the sixth lens is a convex face, the image side face of the sixth lens is a convex face, the seventh lens has negative focal power, the image side face of the seventh lens is a concave face, the eighth lens has focal power, and the image side face of the eighth lens is a concave face. And the picture illumination uniformity and the imaging definition are improved.

The invention discloses an SAR directed target detection method based on multi-scale context sensing, and belongs to the technical field of remote sensing image processing and computer vision. According to the method, firstly, through a scattering characteristic guided multi-scale dynamic characteristic enhancement network, a multi-branch structure and a dynamic fusion mechanism are utilized to enhance characteristic expressions of targets of different scales; and secondly, designing a task-adaptive regional context sensing module, fusing local details and semantic contexts, and improving the target discrimination capability under a complex background. And a decoupling type progressive refining detection head is adopted to predict a target category, a directed bounding box and a direction angle, and the positioning precision is optimized through progressive regression. Semantic consistency loss is introduced in the training stage, and end-to-end optimization is achieved in combination with a multi-task joint strategy. According to the method, the problems of large target scale difference, strong background interference, changeable directions and the like in the SAR image are effectively solved, and the accuracy and robustness of directed target detection are remarkably improved.

The invention provides an optical lens, which comprises six lenses which sequentially comprise a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power from an object side to an image side along an optical axis, the object side surface of the second lens is a convex surface, and the image side surface of the second lens is a concave surface; the object side surface of the third lens is a convex surface, and the image side surface of the third lens is a convex surface; the object side surface of the fourth lens is a concave surface, and the image side surface of the fourth lens is a convex surface; the object side surface of the fifth lens is a concave surface, and the image side surface of the fifth lens is a convex surface; and the sixth lens has positive focal power, and the object side surface of the sixth lens is a convex surface. According to the optical lens provided by the invention, the imaging quality of the optical lens can be improved, the aberration can be reduced, the imaging quality of the optical lens can be improved, and the lens has one or more advantages of miniaturization, large target surface, large aperture, large field angle, high imaging quality and the like.

The utility model provides a high-pixel small-size panoramic fisheye optical system and a camera module applying the same, the high-pixel small-size panoramic fisheye optical system is mainly composed of eight lenses, through reasonable matching of lens shapes and focal power, the design requirements of an ultra-wide angle and high resolution of the optical system are effectively met, and the high-pixel small-size panoramic fisheye optical system has the advantages of high pixel, large target surface, ultra-wide angle and small size, and is compact in structure and convenient to use. Processing and installation are facilitated, and the imaging effect of equipment matched with the system is further improved.

The utility model discloses a large-target-surface and large-depth-of-field lens. The large-target-surface and large-depth-of-field lens is sequentially arranged from an object side to an image side along an optical axis of the lens, wherein the first lens is an aspherical plastic lens with positive focal power; the second lens is an aspheric plastic lens with negative focal power; the third lens is an aspherical plastic lens with positive focal power or an aspherical plastic lens with negative focal power; the fourth lens is an aspheric plastic lens with negative focal power; according to the lens, f is larger than or equal to 5.5 mm, TTL is smaller than or equal to 6.5 mm, IC / TTL is larger than or equal to 0.52, TTL / f is smaller than or equal to 1.05, and OBFL / TTL is larger than or equal to 0.48. According to the utility model, four aspheric plastic lenses are adopted, so that the structure is simple; different lenses are mutually combined and the focal power is reasonably distributed, so that the system has the performances of low cost, total length, large depth of field, large target surface, good resolution and the like.

The invention provides an optical lens, which comprises seven lenses, and sequentially comprises a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power from an object side to an imaging surface, the object side surface of the second lens is a convex surface, and the image side surface of the second lens is a convex surface; the object side surface of the third lens is a concave surface, and the image side surface of the third lens is a convex surface; the object side surface of the fourth lens is a convex surface, and the image side surface of the fourth lens is a convex surface; the fifth lens has negative focal power, and the object side surface of the fifth lens is a convex surface; the image side surface is a concave surface; the sixth lens has negative focal power, the object side surface of the sixth lens is a convex surface near the optical axis, and the image side surface of the sixth lens is a concave surface near the optical axis; and the object side surface of the seventh lens is a convex surface near the optical axis, and the image side surface of the seventh lens is a concave surface near the optical axis. The optical lens provided by the invention has one or more advantages of large wide angle, small distortion, large target surface, high pixel and the like.

The invention discloses an aerial target height estimation method based on satellite-borne radar networking. The radar networking is composed of a radar group consisting of two or more satellite-borne radars. The aerial target height estimation method comprises the following steps: step S1: using the radar group to respectively measure the radial distance and azimuth of the aerial target; step S2: using a position calculation model of the aerial target in the radar array coordinate system to calculate the position of the aerial target in the radar array coordinate system by using the least squares method; step S3: calculating the position of the aerial target in the satellite orbit coordinate system according to the position of the aerial target in the radar array coordinate system; step S4: calculating the altitude of the aerial target according to the position of the aerial target in the satellite orbit coordinate system and the radius of the earth where the aerial target is located. The invention establishes an equation group containing unknown variables such as the target altitude, thereby solving the problem that a single satellite-borne detection radar has a large target tracking pitch angle error and is unable to estimate the altitude of the aerial target.

The invention provides an optical lens, which comprises seven lenses, and sequentially comprises a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power from an object side to an imaging surface, the object side surface of the second lens is a concave surface, and the image side surface of the second lens is a convex surface; the object side surface of the third lens is a concave surface, and the image side surface of the third lens is a convex surface; the object side surface of the fourth lens is a concave surface, and the image side surface of the fourth lens is a convex surface; the object side surface of the fifth lens is a convex surface, and the image side surface of the fifth lens is a convex surface; the object side surface of the sixth lens is a concave surface, and the image side surface of the sixth lens is a concave surface; and the object side surface of the seventh lens is a convex surface. The optical lens provided by the invention has one or more advantages of large target surface, large aperture, ultra-wide angle and the like.

The invention belongs to the technical field of infrared optics, and discloses a long-wave infrared continuous zooming microscope lens. The lens is provided with two lenses, namely a first lens and a second lens which are sequentially and coaxially arranged between an object plane and an image plane; the first lens is a meniscus positive lens of which the convex surface faces the image side, and the second lens is a meniscus positive lens of which the convex surface faces the image side; the first lens and the second lens can move between an object plane and an image plane so as to carry out high and low magnification switching. The long-wave infrared continuous zooming microscope lens can realize multi-magnification switching, and also has the characteristics of small number of lenses, large target surface and clear imaging; the working wave band is 8-12 [mu] m, the magnification factor is 0.2-0.6, the F number of the image space is 1.5, the number of pixels is 1280 * 1024, and the size of the pixels is 12 [mu] m.