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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 15. Отображено 15.
12-01-2011 дата публикации

Method for quickly extracting airport target in high-resolution remote sensing image

Номер: CN0101944233A
Автор: YING LI, YANNING ZHANG, XIAO LI, ZENGGANG LIN, ZHE GUO, LI YING, ZHANG YANNING, LI XIAO, LIN ZENGGANG, GUO ZHE
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The invention discloses a method for quickly extracting an airport target in a high-resolution remote sensing image, which is used for solving the technical problem of poor quality of the airport target extracted by a traditional identifying method of the airport target. The technical scheme comprises the steps of: pretreating the image by fuzzy enhancement; then extracting the edges of the image by a fuzzy edge detection method based on pixel gradient and standard difference; screening out the edges of the image to reserve long and straight lines only; detecting parallel long and straight lines as runway characteristics by using Hough change; and with the point with the highest gray within the range of the field of a characteristic point 8 as a seed point, carrying out regional growth for extracting the airport target. The quality of the extracted airport target is enhanced.

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Номер записи: 1
09-02-2011 дата публикации

Method for detecting remote sensing image change based on edge and grayscale

Номер: CN0101968885A
Автор: YANNING ZHANG, QI YUAN, XIAOMIN TONG, YU ZHU, ZENGGANG LIN, RUNPING XI, ZHANG YANNING, YUAN QI, TONG XIAOMIN, ZHU YU, LIN ZENGGANG, XI RUNPING
Принадлежит:

The invention discloses a method for detecting remote sensing image change based on an edge and grayscale, which is used for solving the technical problem of low precision of the conventional remote sensing image change detection method. The technical scheme comprises the following steps of: performing multitemporal image edge characteristic extraction by using a bilateral filtering-based Canny algorithm; performing OTSU threshold segmentation and edge extraction on grayscale interpolation images to obtain grayscale characteristics; and integrating the extracted edge and grayscale characteristics, and detecting change areas of remote sensing images. The linear characteristic of images is fully utilized, and the grayscale interpolation images compensate broken lines caused by registration errors, so the precision of the remote sensing image change detection method is improved to 90.32 percent from 87.75 percent of the prior art, and the detection accuracy is improved.

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Номер записи: 2
01-06-2011 дата публикации

Multi-modal information combined pose-varied three-dimensional human face five-sense organ marking point positioning method

Номер: CN0102081733A
Автор: YANNING ZHANG, ZHE GUO, ZENGGANG LIN, RUNPING XI, LIANG JUN, ZHANG YANNING, GUO ZHE, LIN ZENGGANG, XI RUNPING
Принадлежит:

The invention discloses a multi-modal information combined pose-varied three-dimensional human face five-sense organ marking point positioning method, which is used for solving the technical problem that the pose robustness of the traditional pose-varied three-dimensional human face five-sense organ marking point positioning method is poor. The invention adopts the technical scheme that: three-dimensional human face five-sense organ marking points are positioned through multi-modal information combination; and by means of the advantages of clear five-sense organ structure outlines in a two-dimensional image and obvious concave and convex five-sense organ marking areas in a three-dimensional human face model, the pose of the human face model is not required to be estimated and compensated previously, so that the robustness to pose is relatively strong. The average positioning accuracy to the five-sense organ marking points of the three-dimensional human face model is up to 98.5 percent; ...

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Номер записи: 3
06-08-2008 дата публикации

Craniofacial shape measuring device and method for measuring craniofacial shape

Номер: CN0101234023A
Автор: ZHANG YANNING, SHI JIANYU, ZHOU HONG, ZHAI PEIFANG, LIN ZENGGANG, LI YING, YANNING ZHANG, JIANYU SHI, HONG ZHOU, PEIFANG ZHAI, ZENGGANG LIN, YING LI
Принадлежит:

The invention discloses a measuring device for measuring craniofacial shape, which comprises a seat and is characterized in that the measuring device also comprises a laser triplex scanner, a turn table, a bracket, a sliding block and a slide track. The slide track is positioned on the ground of a workroom; a U-shaped slot on the sliding block is matched with the slide track, and is clamped and positioned on the slide track and is capable of moving 360 degrees around the slide track; the bracket is fixedly connected to the centre above the sliding block; the turn table is fixedly connected to the bracket and the laser triplex scanner is arranged on the turn table; the seat is positioned on the ground where the centre of the slide track locates, facing to the position of 0 graduation of the slide track. The invention also discloses a method for utilizing the measuring device to measure craniofacial shape, craniofacial image data is obtained with the laser triplex scanner to synthesize craniofacial ...

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Номер записи: 4
24-03-2010 дата публикации

Craniofacial shape measuring device and method

Номер: CN0100594841C
Автор: ZHANG YANNING, SHI JIANYU, ZHOU HONG, ZHAI PEIFANG, LIN ZENGGANG, LI YING, YANNING ZHANG, JIANYU SHI, HONG ZHOU, PEIFANG ZHAI, ZENGGANG LIN, YING LI
Принадлежит:

The invention discloses a measuring device for measuring craniofacial shape, which comprises a seat and is characterized in that the measuring device also comprises a laser triplex scanner, a turn table, a bracket, a sliding block and a slide track. The slide track is positioned on the ground of a workroom; a U-shaped slot on the sliding block is matched with the slide track, and is clamped and positioned on the slide track and is capable of moving 360 degrees around the slide track; the bracket is fixedly connected to the centre above the sliding block; the turn table is fixedly connected tothe bracket and the laser triplex scanner is arranged on the turn table; the seat is positioned on the ground where the centre of the slide track locates, facing to the position of 0 graduation of theslide track. The invention also discloses a method for utilizing the measuring device to measure craniofacial shape, craniofacial image data is obtained with the laser triplex scanner to synthesize craniofacial ...

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Номер записи: 5
19-05-2010 дата публикации

Two-dimensional human posture processing method based on sketch

Номер: CN0101710421A
Автор: Jiang Dongmei, Li Meng, Lin Zenggang, Yang Tao, Zhang Yanning
Принадлежит:

The invention discloses a two-dimensional human posture processing method based on sketch, which is used for solving the technical problem that the processing of each frame of images needs long time by the prior art. A human skeleton model is used as prior information, the rapid and accurate classification is carried out on a human data point set by the prior information, and the human skeleton model is modified according to a classified result to further obtain the correct estimation on a human posture. Because the method cancels the search on a posture space, the calculated amount is greatly reduced, and the processing speed on an image sequence is beyond 20 frames per second, i.e. the average processing time of all frames of images is reduced to smaller than 20 milliseconds from 5 minutes in the prior art by a C++ algorithm; and by adopting the C++ algorithm to carry out iterative calculation, the invention also ensures the precision of a calculated result and achieves the real-time ...

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Номер записи: 6
15-12-2010 дата публикации

Three-dimensional face intrinsic attribute description method

Номер: CN0101916367A
Автор: YANNING ZHANG, ZHE GUO, ZENGGANG LIN, ZHANG YANNING, GUO ZHE, LIN ZENGGANG
Принадлежит:

The invention discloses a three-dimensional face intrinsic attribute description method for solving the technical problem that the algorithm is complex in the existing three-dimensional face intrinsic attribute description methods. The method further analyzes and improves a model simplification method based on quadric error metrics (QEM) so that the model simplification method can farthest simplify the model under the premise of maintaining the facial features, adopts a conformal and isomorphic mapping mesh parameterization method based on feature constrain to expand the three-dimensional mesh data in the two-dimensional plane and discretely represents the intrinsic attribute of the three-dimensional face appearance in the two-dimensional image plane. While reducing the computational complexity, the method adopts the conformal and isomorphic mapping mesh parameterization method based on feature constrain to expand the three-dimensional mesh data in the two-dimensional plane, simplifies ...

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Номер записи: 7
02-06-2010 дата публикации

Position and posture processing method based on plane marker

Номер: CN0101718548A
Автор: DUAN FENG, LIN ZENGGANG, YANG TAO, YU RUI, ZHANG YANNING, FENG DUAN, ZENGGANG LIN, TAO YANG, RUI YU, YANNING ZHANG
Принадлежит:

The invention discloses a position and posture processing method based on a plane marker, which is used for solving the technical problem of low position and posture processing accuracy for the plane marker in the prior art. The position and posture processing method comprises the steps of: obtaining related information of the marker according to a marker detection and identification method; determining the position and the posture of a camera by using a collinear error in a three-dimensional space as an optimization function according to the obtained corresponding relation between a 2D point and a 3D point; obtaining another solution enabling the collinear error in the OI algorithm to obtain a local extremum by using an RPP algorithm; and comparing the two obtained local extremum solutions, and taking the solution with smaller collinear error as the final processing result. Because the RPP algorithm is adopted, the problem of uncertain position and posture is solved, and the position and ...

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Номер записи: 8
20-02-2008 дата публикации

Multi-view angle three-dimensional human face scanning data automatic registration method

Номер: CN0101127075A
Автор: GUO ZHE, ZHANG YANNING, LIN ZENGGANG, ZHE GUO, YANNING ZHANG, ZENGGANG LIN
Принадлежит:

The utility model discloses an automatic registration method for multi-view three-dimensional face scanning data, which is characterized in comprising the following steps: coordinate axis transformation is made to the multi-view three-dimensional face scanning data through the PCA method; the shape index value of a transformed model is calculated, and a plurality of feature regions are screened using the method of threshold segmentation; region screening is restricted by region relative distribution features so as to finally position the symbolic regions such as eyes, outer canthi and nasal tip points; the symbolic regions are matched by the ICP method; and the coordinate translation and rotation transformation are made to the transformation parameters which are obtained from region registration of the whole scanning data so as to complete registration. The coarse registration of the utility model adopts the method of coordinate axis transformation, and the global features are instead of ...

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Номер записи: 9
02-09-2009 дата публикации

Starry sky image object track-detecting method

Номер: CN0101520891A
Автор: ZHANG YANNING, JIANG LEI, SUN JINQIU, LIN ZENGGANG, YANNING ZHANG, LEI JIANG, JINQIU SUN, ZENGGANG LIN
Принадлежит:

The invention discloses a starry sky image object track-detecting method. The method comprise the following steps: firstly, carrying out frame difference accumulation on five continuous images among sequence images and adopting a self-adaptive threshold value t to carry out binarization processing of 0 and 1 on the accumulated images; evenly dividing a 1,024*1,024 image I into 32*32 small blocks; combining and connecting all pixels on the image blocks one by one, and calculating theta and rho to establish a nonuniform quantizing accumulator array H(rho, theta) of a parameter space; moreover, adding 1 to the address of a corresponding accumulator array H(rho, theta), namely H(rho, theta) is equal to H(rho, theta) plus 1, till the conversion of all points is finished; and finding the local maximum value of the accumulator array H(rho, theta) in the parameter space and finding out the values of linear parameters theta andrRho to determine a straight line. By dividing an object track into smaller ...

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Номер записи: 10
17-08-2011 дата публикации

Starry sky image object track-detecting method

Номер: CN0101520891B
Автор: SUN JINQIU, LIN ZENGGANG, JIANG LEI, ZHANG YANNING, JINQIU SUN, ZENGGANG LIN, LEI JIANG, YANNING ZHANG
Принадлежит:

The invention discloses a starry sky image object track-detecting method. The method comprise the following steps: firstly, carrying out frame difference accumulation on five continuous images among sThe invention discloses a starry sky image object track-detecting method. The method comprise the following steps: firstly, carrying out frame difference accumulation on five continuous images among sequence images and adopting a self-adaptive threshold value t to carry out binarization processing of 0 and 1 on the accumulated images; evenly dividing a 1,024*1,024 image I into 32*32 small blocks;equence images and adopting a self-adaptive threshold value t to carry out binarization processing of 0 and 1 on the accumulated images; evenly dividing a 1,024*1,024 image I into 32*32 small blocks;combining and connecting all pixels on the image blocks one by one, and calculating theta and rho to establish a nonuniform quantizing accumulator array H(rho, theta) of a parameter space; moreover, acombining ...

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Номер записи: 11
30-09-2009 дата публикации

Detection method of small target of feature space

Номер: CN0101546429A
Автор: ZHANG YANNING, SUN JINQIU, JIANG LEI, DUAN FENG, LIN ZENGGANG, YANNING ZHANG, JINQIU SUN, LEI JIANG, FENG DUAN, ZENGGANG LIN
Принадлежит:

The invention discloses a detection method of a small target of a feature space, realizing small target detection of the feature space through steps of star position location, reference star selection, star and potential target division, track association cancelling noise, and the like. Because a detection algorithm of small moving target with a moving night sky background of a feature space based on distance is adopted, two stars are selected to be used as reference stars, different motion characteristics among the stars, and the target and a noise point are fully utilized to directly divide the stars, the potential target and the noise in a two-dimension feature space domain. Compared with three reference stars selected by the background technology on calculation of a similarity measuring function, an error square sum and a curve inflection point in a three-dimension space, the invention reduces the calculation amount because one star is decreased. Because the track continuity of the ...

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Номер записи: 12
30-05-2012 дата публикации

Detection method of small target of feature space

Номер: CN0101546429B
Автор: SUN JINQIU, ZHANG YANNING, DUAN FENG, JIANG LEI, LIN ZENGGANG, JINQIU SUN, YANNING ZHANG, FENG DUAN, LEI JIANG, ZENGGANG LIN
Принадлежит:

The invention discloses a detection method of a small target of a feature space, realizing small target detection of the feature space through steps of star position location, reference star selection, star and potential target division, track association cancelling noise, and the like. Because a detection algorithm of small moving target with a moving night sky background of a feature space based on distance is adopted, two stars are selected to be used as reference stars, different motion characteristics among the stars, and the target and a noise point are fully utilized to directly dividethe stars, the potential target and the noise in a two-dimension feature space domain. Compared with three reference stars selected by the background technology on calculation of a similarity measuring function, an error square sum and a curve inflection point in a three-dimension space, the invention reduces the calculation amount because one star is decreased. Because the track continuity of the target ...

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Номер записи: 13
23-02-2011 дата публикации

Method for interpreting worthless images in large number of remote sensing images based on texture spectrum similarity

Номер: CN0101980247A
Автор: JIANGBIN ZHENG, YANNING ZHANG, XIUXIU LI, LIJIE CUI, ZENGGANG LIN, JINQIU SUN, ZHENG JIANGBIN, ZHANG YANNING, LI XIUXIU, CUI LIJIE, LIN ZENGGANG, SUN JINQIU
Принадлежит:

The invention discloses a method for interpreting worthless images in a large number of remote sensing images based on texture spectrum similarity, which is used for solving the technical problem of low efficiency in the conventional method for interpreting the worthless images in a large number of remote sensing images. The technical scheme comprises the following steps of: converting an image to be interpreted into a texture image, partitioning the texture image and counting each texture image block to acquire a texture spectrum; and calculating the texture spectrum similarity among blocks, taking the minimum value of the texture spectrum similarity among the blocks in the image as a judgment standard and judging whether the image is the worthless image or not according to the judgment standard. In the method, only the image to be interpreted is processed, so a large number of training samples are not needed; and one standard is extracted for each image independently, so that the uniform ...

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Номер записи: 14
02-06-2010 дата публикации

Method for estimating movement of background of starry sky image

Номер: CN0101719279A
Автор: DUAN FENG, LIN ZENGGANG, SUN JINQIU, YAO RUI, ZHANG YANNING, ZHU YU, FENG DUAN, ZENGGANG LIN, JINQIU SUN, RUI YAO, YANNING ZHANG, YU ZHU
Принадлежит:

The invention discloses a method for estimating the movement of a background of a starry sky image, which aims at solving the technical problem of large limitation of the traditional method for estimating the movement. In consideration of a starry sky image which mainly comprises a background with lower gray-scale value and star light spots with higher gray-scale value and very small occupied area, the invention firstly carries out self-adapting threshold value division according to a gray scale model of the background, selects a star zone the area of which conforms to the condition after a communication zone is marked, and carries out LCS-based matching on the structure characteristics of a centroid position. Because of the invariance of structure information to rotation and translation, the invention can still realize the effective movement estimation of a reference map under the conditions that two adjacent frames rotate by 86.4 degrees and the translation is more than 30 pixels. Because ...

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Номер записи: 15