CN116320788A - Real-time picture transmission-based aircraft external landscape transmission system and method - Google Patents
Real-time picture transmission-based aircraft external landscape transmission system and method Download PDFInfo
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- CN116320788A CN116320788A CN202310239078.8A CN202310239078A CN116320788A CN 116320788 A CN116320788 A CN 116320788A CN 202310239078 A CN202310239078 A CN 202310239078A CN 116320788 A CN116320788 A CN 116320788A
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/182—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a pixel
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
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- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/117—Filters, e.g. for pre-processing or post-processing
Abstract
The invention discloses an aircraft external landscape transmission system and method based on real-time picture transmission, which belong to the technical field of picture transmission and comprise an image acquisition unit and a high-definition aerial photographing unit, wherein the image acquisition unit comprises an image acquisition module and an image generation and transmission module, a pixel block traversing device is connected with a pixel block dividing device and is used for receiving one or more suspicious pixel blocks and the homomorphic filtered image, each suspicious pixel block is segmented by adopting 45-degree diagonal lines which are mutually separated by 1 pixel point so as to obtain a plurality of pixel lines which are formed by the pixel points, the pixel point of each pixel line is subjected to traversing analysis in a 45-degree direction in an inclined direction, the pixel point with a pixel value exceeding the average pixel value of the front pixel point and the rear pixel point is taken as a mutation pixel point, the mutation pixel point number of each pixel line is added so as to obtain the mutation pixel point total number of the corresponding suspicious pixel block, and the pixel block traversing device outputs the mutation pixel point total number of one or more suspicious pixel blocks.
Description
Technical Field
The invention relates to the technical field of picture transmission, in particular to an aircraft external landscape transmission system and method based on real-time picture transmission.
Background
Because the aircraft often can take place part strain, the bird hits, meets the condition such as thunderbolt or the invasion of runway foreign matter causes damage during the service, in order to ensure flight safety, pilot or crew are responsible for guaranteeing that the aircraft has the navigability before every flight, need carry out routine safety inspection to the aircraft in order to ensure that the aircraft can take off safely. Security checks such as these may involve, for example, aircraft structural and component checks, to discover problems early and to perform maintenance or repair. Since the civil aviation administration introduced a minimum equipment requirement list (MEL), it was possible to allow the aircraft to postpone maintenance work of unnecessary equipment, i.e. the flight with unnecessary repair status was allowed, according to the rules of the civil aviation administration. The related personnel need to record the problems on time, and according to the regulations of the civil aviation administration, whether the flight is cancelled, maintained or flown is determined by combining the abnormal state found before the departure.
Most of the existing video image feedback is based on analog video signals, the images are not clear, and meanwhile, an unmanned aerial vehicle can continuously acquire high-precision sequence images with large overlapping degree, but the acquired images lose depth information. The three-dimensional reconstruction based on the image refers to a method and a technology for fully automatically recovering a scene three-dimensional structure by utilizing a plurality of digital camera images. In recent years, three-dimensional reconstruction technology has achieved great success in the field of video and image three-dimensional reconstruction processing, and the three-dimensional reconstruction technology is applied to the field of unmanned aerial vehicle image processing, and is applied to full-automatic reconstruction of unmanned aerial vehicle images, so that the application range of unmanned aerial vehicles can be expanded, and the application level of unmanned aerial vehicles is improved. However, the current research on three-dimensional reconstruction of unmanned aerial vehicle sequence images is still in a starting stage, and mainly has the following problems: with respect to ground images, three-dimensional reconstruction based on unmanned aerial vehicle sequence images is generally three-dimensional reconstruction of large data volume and large scene; most of the algorithms mature in computer vision are directly applied to three-dimensional reconstruction of unmanned aerial vehicle sequence images; auxiliary information with low precision is not fully utilized, so that an aircraft external landscape transmission system and method based on real-time picture transmission are provided.
Disclosure of Invention
The invention aims to provide an aircraft external landscape transmission system and method based on real-time picture transmission, so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the utility model provides an aircraft outside view conveying system and method based on real-time picture transmission, includes image acquisition unit and high definition photo by plane unit, image acquisition unit includes image acquisition module and image generation send module, high definition photo by plane unit includes power module, automatic heat dissipation module, temperature detection module and high definition photo by plane module.
Preferably, the image acquisition unit is used for acquiring the image of the aircraft.
Preferably, the system further comprises a remote control center, wherein the remote control center is used for storing the images and realizing airplane inspection and fault diagnosis by displaying the images.
Preferably, the system further comprises a data communication network, wherein the data communication network is connected with the image acquisition unit and the remote control center and is used for realizing communication between the image acquisition unit and the remote processing control center.
Preferably, the temperature detection unit is used for detecting the real-time temperature in the protective cover, the automatic heat dissipation unit is connected with the temperature detection unit and comprises a metal heat dissipation sheet, an unfolding structure and a heat dissipation fan, the unfolding structure is used for controlling the metal heat dissipation sheet to be unfolded when the real-time temperature is higher than a first temperature threshold and lower than or equal to a second temperature threshold, the heat dissipation fan is started when the real-time temperature is higher than the second temperature threshold, and the unfolding structure is also used for controlling the metal heat dissipation sheet to be folded when the real-time temperature is lower than or equal to the first temperature threshold; the high-definition aerial photographing unit is used for carrying out high-definition aerial photographing on the scene so as to obtain and output high-definition aerial photographing images.
Preferably, the homomorphic filtering device is connected with the high-definition aerial photographing unit, and is used for receiving the high-definition aerial photographing image, and performing homomorphic filtering on the high-definition aerial photographing image to obtain and output a homomorphic filtering image.
Preferably, the pixel block segmentation device is connected with the homomorphic filtering device, and is used for receiving the homomorphic filtering image, matching the homomorphic filtering image with a window reference contour to obtain one or more matching parts in the homomorphic filtering image and outputting the matching parts as one or more suspicious pixel blocks, wherein the window reference contour comprises reference outlines of various types of windows.
Preferably, the pixel block analysis device is connected to the pixel block traversing device and the size extraction device, respectively, and is configured to receive a total number of abrupt pixels of one or more suspicious pixel blocks and receive a length and a width of each suspicious pixel block, and perform the following operations for each suspicious pixel block: multiplying the length and the width of the suspicious pixel block to obtain a pixel block area of the suspicious pixel block, and dividing the total number of abrupt pixels of the suspicious pixel block by the pixel block area of the suspicious pixel block to obtain the abrupt degree of the suspicious pixel block.
Compared with the prior art, the invention has the beneficial effects that: the pixel block traversing device is connected with the pixel block dividing device and is used for receiving one or more suspicious pixel blocks and the homomorphic filtered image, dividing each suspicious pixel block by adopting 45-degree diagonal lines which are mutually spaced by 1 pixel point to obtain a plurality of pixel lines composed of pixel points, carrying out traversing analysis in a 45-degree downward direction on the pixel points of each pixel line, taking the pixel point with the pixel value exceeding the average pixel value of the front pixel point and the rear pixel point as a mutation pixel point, adding the mutation pixel point numbers of all the pixel lines to obtain the total mutation pixel points of the corresponding suspicious pixel blocks, outputting the total mutation pixel point number of one or more suspicious pixel blocks by the pixel block traversing device, the average pixel value of the front pixel point and the rear pixel point is a value obtained by dividing the sum of the pixel value of 2 pixel points in the 45-degree direction in the oblique direction of the pixel line of the pixel point and the pixel value of 2 pixel points in the 45-degree direction in the oblique direction of the pixel line of the pixel point by 4, the pixel value takes R color channel data in three color channels of the pixel point RGB, a pixel block analysis device is used, and the pixel block analysis device is respectively connected with the pixel block traversing device and the size extraction device and is used for receiving the total number of abrupt pixel points of one or more suspicious pixel blocks and the length and the width of each suspicious pixel block, and the following operations are carried out for each suspicious pixel block: multiplying the length and the width of the suspicious pixel block to obtain a pixel block area of the suspicious pixel block, dividing the total number of abrupt pixels of the suspicious pixel block by the pixel block area of the suspicious pixel block to obtain the degree of abrupt changes of the suspicious pixel block, and a pixel block analysis device connected with the pixel block traversing device and the size extraction device respectively and used for receiving the total number of abrupt pixels of one or more suspicious pixel blocks and the length and the width of each suspicious pixel block, and executing the following operations for each suspicious pixel block: the length and the width of the suspicious pixel block are multiplied to obtain the pixel block area of the suspicious pixel block, and the total number of abrupt pixel points of the suspicious pixel block is divided by the pixel block area of the suspicious pixel block to obtain the abrupt degree of the suspicious pixel block. In addition, noise is also introduced into the resulting image at some point in the image processing when the input image object is not as expected. These noises often appear on the image as an isolated pixel or block of pixels that causes a strong visual effect. In general, the noise signal is uncorrelated with the object to be studied and it appears as unwanted information, disturbing the observable information of the image. For digital image signals, the noise table is a larger or smaller extreme value, and the extreme values act on the true gray values of the image pixels through addition and subtraction, so that bright and dark point interference is caused to the image, the image quality is greatly reduced, and the follow-up work such as image restoration, segmentation, feature extraction, image recognition and the like is affected. Two basic problems must be considered to construct a filter that effectively suppresses noise: noise in the target and the background can be effectively removed; meanwhile, the shape, size and specific geometric and topological structure characteristics of an image target can be well protected, one of the common image filtering modes is a nonlinear filter, generally speaking, when a signal spectrum is aliased with a noise spectrum or when a signal contains non-superimposed noise, such as noise caused by system nonlinearity or non-Gaussian noise exists, and the like, and the traditional linear filtering technology, such as Fourier transform, generally obscures image details, such as edges and the like in a certain way while filtering noise, so that the positioning precision of the linear characteristics and the extractability of the characteristics are reduced. The nonlinear filter is based on a nonlinear mapping relation to the input signal, and can often map a specific noise to zero approximately while retaining the essential characteristics of the signal, so that the nonlinear filter can overcome the defects of the linear filter to a certain extent.
Drawings
FIG. 1 is a schematic diagram of the overall structure of the present invention;
fig. 2 is a schematic diagram of the connection of each module of the high-definition aerial photographing unit according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 and 2, the present invention provides the following technical solutions: the system comprises an image acquisition unit and a high-definition aerial photographing unit, wherein the image acquisition unit comprises an image acquisition module and an image generation and transmission module, the high-definition aerial photographing unit comprises a power supply module, an automatic heat dissipation module, a temperature detection module and a high-definition aerial photographing module, and the image generation and transmission module at least comprises a control circuit, a display circuit connected with the control circuit, a communication circuit and a power supply circuit; the image generating and transmitting module also comprises a circuit capable of realizing other functions. Preferably, in this embodiment, the image generating and sending module is a computer, a pixel block traversing device is connected to the pixel block dividing device, and is configured to receive one or more suspicious pixel blocks and receive the homomorphic filtered image, segment each suspicious pixel block by using 45-degree diagonal lines with a mutual interval of 1 pixel point, so as to obtain a plurality of pixel lines composed of pixel points, perform traversing analysis in a 45-degree direction obliquely downward for the pixel point of each pixel line, take the pixel point with a pixel value exceeding the average pixel value of the front and rear pixel points as abrupt pixel points, add the number of abrupt pixel points of each pixel line to obtain the total number of abrupt pixel points of the corresponding suspicious pixel block, and the pixel block traversing device outputs the total number of abrupt pixel points of the one or more suspicious pixel blocks, where the average pixel value of the front and rear pixel points is a channel value obtained by adding the pixel value of 2 pixel points in the 45-degree direction obliquely upward for the pixel line to the pixel value of the pixel point and the pixel value of 2 pixels in the 45-degree direction obliquely upward for the pixel point, and the color value of the pixel point in the RGB channel value of the pixel line is obtained by dividing the color value by the channel value of the RGB value of the pixel point of the pixel line by 4.
Referring to fig. 1 and 2, an image acquisition unit is configured to acquire an image of an aircraft;
referring to fig. 1, the system further comprises a remote control center, wherein the remote control center is used for storing the images and realizing airplane inspection and fault diagnosis by displaying the images;
referring to fig. 1, the system further includes a data communication network, where the data communication network is connected to the image acquisition unit and the remote control center, and is used to implement communication between the image acquisition unit and the remote processing control center;
referring to fig. 2, the temperature detecting unit is configured to detect a real-time temperature in the protective cover, and the automatic heat dissipating unit is connected to the temperature detecting unit and includes a metal heat sink, an expansion structure, and a heat dissipating fan, and is configured to control the expansion structure to expand the metal heat sink when the real-time temperature is higher than a first temperature threshold and lower than or equal to a second temperature threshold, and is configured to start the heat dissipating fan when the real-time temperature is higher than the second temperature threshold, and is further configured to control the expansion structure to contract the metal heat sink when the real-time temperature is lower than or equal to the first temperature threshold; the high-definition aerial photographing unit is used for carrying out high-definition aerial photographing on the scene so as to obtain and output high-definition aerial photographing images;
referring to fig. 2, a homomorphic filtering device is connected to the high-definition aerial photography unit, and is configured to receive the high-definition aerial photography image, and perform homomorphic filtering on the high-definition aerial photography image to obtain and output a homomorphic filtered image;
referring to fig. 2, the pixel block segmentation device is connected to the homomorphic filtering device, and is configured to receive the homomorphic filtered image, match the homomorphic filtered image with a window reference contour, so as to obtain one or more matching parts in the homomorphic filtered image and output the matching parts as one or more suspicious pixel blocks, where the window reference contour includes reference contours of various types of windows;
referring to fig. 2, the pixel block analysis device is connected to the pixel block traversing device and the size extraction device, and is configured to receive a total number of abrupt pixels of one or more suspicious pixel blocks and a length and a width of each suspicious pixel block, and perform the following operations for each suspicious pixel block: multiplying the length and the width of the suspicious pixel block to obtain the pixel block area of the suspicious pixel block, and dividing the total number of abrupt pixel points of the suspicious pixel block by the pixel block area of the suspicious pixel block to obtain the abrupt degree of the suspicious pixel block;
working principle: the pixel block traversing device is connected with the pixel block dividing device and is used for receiving one or more suspicious pixel blocks and the homomorphic filtered image, dividing each suspicious pixel block by adopting 45-degree diagonal lines which are mutually spaced by 1 pixel point to obtain a plurality of pixel lines composed of pixel points, carrying out traversing analysis in a 45-degree downward direction on the pixel points of each pixel line, taking the pixel point with the pixel value exceeding the average pixel value of the front pixel point and the rear pixel point as a mutation pixel point, adding the mutation pixel point numbers of all the pixel lines to obtain the total mutation pixel points of the corresponding suspicious pixel blocks, outputting the total mutation pixel point number of one or more suspicious pixel blocks by the pixel block traversing device, the average pixel value of the front pixel point and the rear pixel point is a value obtained by dividing the sum of the pixel value of 2 pixel points in the 45-degree direction in the oblique direction of the pixel line of the pixel point and the pixel value of 2 pixel points in the 45-degree direction in the oblique direction of the pixel line of the pixel point by 4, the pixel value takes R color channel data in three color channels of the pixel point RGB, a pixel block analysis device is used, and the pixel block analysis device is respectively connected with the pixel block traversing device and the size extraction device and is used for receiving the total number of abrupt pixel points of one or more suspicious pixel blocks and the length and the width of each suspicious pixel block, and the following operations are carried out for each suspicious pixel block: multiplying the length and the width of the suspicious pixel block to obtain a pixel block area of the suspicious pixel block, dividing the total number of abrupt pixels of the suspicious pixel block by the pixel block area of the suspicious pixel block to obtain the degree of abrupt changes of the suspicious pixel block, and a pixel block analysis device connected with the pixel block traversing device and the size extraction device respectively and used for receiving the total number of abrupt pixels of one or more suspicious pixel blocks and the length and the width of each suspicious pixel block, and executing the following operations for each suspicious pixel block: the length and the width of the suspicious pixel block are multiplied to obtain the pixel block area of the suspicious pixel block, and the total number of abrupt pixel points of the suspicious pixel block is divided by the pixel block area of the suspicious pixel block to obtain the abrupt degree of the suspicious pixel block. In addition, noise is also introduced into the resulting image at some point in the image processing when the input image object is not as expected. These noises often appear on the image as an isolated pixel or block of pixels that causes a strong visual effect. In general, the noise signal is uncorrelated with the object to be studied and it appears as unwanted information, disturbing the observable information of the image. For digital image signals, the noise table is a larger or smaller extreme value, and the extreme values act on the true gray values of the image pixels through addition and subtraction, so that bright and dark point interference is caused to the image, the image quality is greatly reduced, and the follow-up work such as image restoration, segmentation, feature extraction, image recognition and the like is affected. Two basic problems must be considered to construct a filter that effectively suppresses noise: noise in the target and the background can be effectively removed; meanwhile, the shape, size and specific geometric and topological structure characteristics of an image target can be well protected, one of the common image filtering modes is a nonlinear filter, generally speaking, when a signal spectrum is aliased with a noise spectrum or when a signal contains non-superimposed noise, such as noise caused by system nonlinearity or non-Gaussian noise exists, and the like, and the traditional linear filtering technology, such as Fourier transform, generally obscures image details, such as edges and the like in a certain way while filtering noise, so that the positioning precision of the linear characteristics and the extractability of the characteristics are reduced. The nonlinear filter is based on a nonlinear mapping relation to the input signal, and can often map a specific noise to zero approximately while retaining the essential characteristics of the signal, so that the nonlinear filter can overcome the defects of the linear filter to a certain extent.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. An aircraft external landscape transmission system and method based on real-time picture transmission comprises an image acquisition unit and a high-definition aerial photographing unit, and is characterized in that: the image acquisition unit comprises an image acquisition module and an image generation and transmission module, and the high-definition aerial photographing unit comprises a power supply module, an automatic heat dissipation module, a temperature detection module and a high-definition aerial photographing module.
2. The system and method for transferring external views of an aircraft based on real-time frame transmission according to claim 1, wherein: the image acquisition unit is used for acquiring the image of the airplane.
3. The system and method for transferring external views of an aircraft based on real-time frame transmission according to claim 1, wherein: the system also comprises a remote control center, wherein the remote control center is used for storing the images and realizing airplane inspection and fault diagnosis by displaying the images.
4. The system and method for transferring external views of an aircraft based on real-time frame transmission according to claim 1, wherein: the system also comprises a data communication network, wherein the data communication network is connected with the image acquisition unit and the remote control center and is used for realizing the communication between the image acquisition unit and the remote processing control center.
5. The system and method for transferring external views of an aircraft based on real-time frame transmission according to claim 1, wherein: the automatic heat dissipation unit is connected with the temperature detection unit and comprises a metal heat dissipation sheet, an unfolding structure and a heat dissipation fan, wherein the temperature detection unit is used for detecting the real-time temperature in the protective cover, the automatic heat dissipation unit is used for controlling the unfolding structure to unfold the metal heat dissipation sheet when the real-time temperature is higher than a first temperature threshold and lower than or equal to a second temperature threshold, and is also used for controlling the unfolding structure to shrink the metal heat dissipation sheet when the real-time temperature is higher than the second temperature threshold; the high-definition aerial photographing unit is used for carrying out high-definition aerial photographing on the scene so as to obtain and output high-definition aerial photographing images.
6. The system and method for transferring external views of an aircraft based on real-time frame transmission according to claim 1, wherein: the homomorphic filtering device is connected with the high-definition aerial photographing unit and is used for receiving the high-definition aerial photographing image and performing homomorphic filtering on the high-definition aerial photographing image so as to obtain and output a homomorphic filtering image.
7. The system and method for transferring external views of an aircraft based on real-time frame transmission according to claim 1, wherein: the pixel block segmentation device is connected with the homomorphic filtering device and is used for receiving the homomorphic filtering image, matching the homomorphic filtering image with a window reference contour to obtain one or more matching parts in the homomorphic filtering image and outputting the matching parts as one or more suspicious pixel blocks, wherein the window reference contour comprises reference contours of various types of windows.
8. The system and method for transferring external views of an aircraft based on real-time frame transmission according to claim 1, wherein: the pixel block analysis device is respectively connected with the pixel block traversing device and the size extraction device, and is used for receiving the total number of abrupt pixel points of one or more suspicious pixel blocks and the length and the width of each suspicious pixel block, and executing the following operations for each suspicious pixel block: multiplying the length and the width of the suspicious pixel block to obtain a pixel block area of the suspicious pixel block, and dividing the total number of abrupt pixels of the suspicious pixel block by the pixel block area of the suspicious pixel block to obtain the abrupt degree of the suspicious pixel block.
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