CN112911208A - Forest coverage mountain field detection platform and method - Google Patents
Forest coverage mountain field detection platform and method Download PDFInfo
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- CN112911208A CN112911208A CN202011299143.9A CN202011299143A CN112911208A CN 112911208 A CN112911208 A CN 112911208A CN 202011299143 A CN202011299143 A CN 202011299143A CN 112911208 A CN112911208 A CN 112911208A
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- 238000001514 detection method Methods 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 14
- 230000007246 mechanism Effects 0.000 claims abstract description 58
- 238000012790 confirmation Methods 0.000 claims abstract description 7
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- 238000003384 imaging method Methods 0.000 claims description 11
- 230000033228 biological regulation Effects 0.000 claims description 6
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- 238000012935 Averaging Methods 0.000 claims description 5
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G06T5/70—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
Abstract
The invention relates to a forest coverage mountain field detection platform and a method, wherein the platform comprises: a real-time display mechanism, disposed in the vicinity of the tele-capture device, for displaying each received confirmation identification patch; the long-focus capturing device is arranged above the movable holder of the observation platform near the mountain peak and used for performing image capturing operations with different focal lengths in different directions on a mountain body covering a forest around under the operation of manual movement so as to obtain and output a mountain body capturing image; the tele-capture device is further configured to output a shooting view direction and a shooting focal length employed to obtain the mountain capture image. The forest coverage mountain field detection platform and the method are reliable in operation and convenient to control. Because the problem that the search and rescue of personnel cannot be carried out when the forest covers the mountain can be solved, the directional search and rescue of personnel in the forest mountain area is realized by adopting a targeted detection mode of firstly identifying green components and then detecting clothing of the personnel, and the on-site search and rescue efficiency is improved.
Description
Technical Field
The invention relates to the field of forest rescue, in particular to a forest coverage mountain field detection platform and a forest coverage mountain field detection method.
Background
The forest is a biological community taking woody plants as main bodies, is a total body of an ecological system formed by mutual restriction of concentrated arbors and interdependencies among other plants, animals, microorganisms and soil and mutual influence on the environment. It has rich species, complex structure and various functions. Forest is known as "the lung of the earth".
The forest and the non-biological environment of the space are organically combined together to form a complete ecological system. Forests are the largest terrestrial ecosystem on earth, and are an important ring in the biosphere of the world. It is a gene bank, a carbon reservoir, a water reservoir and an energy bank on the earth, plays a crucial role in maintaining the ecological balance of the whole earth, and is a resource and environment on which human beings live and develop.
At present, in order to explore or various purposes such as scientific research, people reach the depths of forests to carry out various relevant activities, can not avoid emergency such as getting lost, need professional and professional equipment to carry out the rescue of fixing a point to avoid disaster and accident to take place.
In the prior art, as mountain trees covered by forests are luxuriant, once accidents that accident personnel fall down to mountain bodies occur, the accident personnel are difficult to detect and position in a naked eye mode no matter in a mode of observation by a fixed observation station on the ground or in a mode of aerial observation by taking an aerial aircraft as a carrier.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a field detection platform for forest-covered mountains, which can overcome the problem that the forest-covered mountains cannot perform personnel search and rescue, and realizes the directional search and rescue of personnel in the forest-covered mountain areas by adopting a targeted detection mode of firstly identifying green components and then detecting clothing of the personnel, thereby improving the field search and rescue efficiency.
Therefore, the invention at least needs to have two key points:
(1) a visual detection system is arranged above a movable holder of an observation platform near a mountain peak and is used for executing personnel search and rescue operations of areas in different directions on mountains covered with forests around under the operation of manual movement so as to improve the mountain search and rescue efficiency;
(2) and performing field display operation on image blocks which are less in forest distribution and have clothing of the person to be searched and rescued in the customized imaging image of the forest mountain as image contents of the person to be searched and rescued.
According to an aspect of the invention, there is provided a forest-covered mountain field inspection platform, the platform comprising:
the real-time display mechanism is arranged near the long-focus capture equipment, is used for displaying each received confirmation identification block, and is also used for displaying the received shooting view field direction and the shooting focal length;
the long-focus capturing device is arranged above the movable holder of the observation platform near the mountain peak, is connected with the real-time display mechanism, and is used for executing image capturing operations of different focal lengths in different directions on the mountain body covered with the forest around under the operation of manual movement so as to obtain and output a mountain body capturing image;
the long-focus capturing device obtains and outputs the mountain captured image, and simultaneously outputs a shooting view field direction adopted for obtaining the mountain captured image and a shooting focal length;
the guide filtering device is arranged in a control box in the observation platform, is connected with the tele capturing device and is used for executing guide filtering processing on the received mountain captured image so as to obtain and output a corresponding first filtered image;
the sharpening processing equipment is connected with the guide filtering equipment and is used for executing geometric mean filtering processing on the received first filtering image so as to obtain and output a corresponding sharpening processing image;
the maximum filtering equipment is connected with the sharpening processing equipment and is used for executing maximum filtering processing on the received sharpening processing image so as to obtain and output a corresponding second filtering image;
a first identification mechanism, disposed in a control box in the observation station, connected to the maximum value filtering apparatus, for performing an averaging type segmentation operation on the second filtered image to obtain respective image blocks, and calculating an overall green component value of each image block;
the second identification mechanism is connected with the first identification mechanism and is used for taking the image blocks with the overall green component values lower than a preset component threshold value as the primary identification blocks;
the third identification mechanism is respectively connected with the real-time display mechanism, the first identification mechanism and the second identification mechanism and is used for executing the following processing to each preliminary identification block: and identifying the clothing target in the preliminary identification block based on the color imaging characteristics of the clothing of the person to be searched and rescued, and outputting the preliminary identification block as a confirmation identification block when the number of pixel points occupied by the identified clothing target exceeds a preset number threshold.
According to another aspect of the invention, a forest coverage mountain field detection method is further provided, and the method comprises the step of using the forest coverage mountain field detection platform as described above to realize directional search and rescue of personnel in a forest mountain area in a targeted detection mode of green component identification before personnel clothing detection.
The forest coverage mountain field detection platform and the method are reliable in operation and convenient to control. Because the problem that the search and rescue of personnel cannot be carried out when the forest covers the mountain can be solved, the directional search and rescue of personnel in the forest mountain area is realized by adopting a targeted detection mode of firstly identifying green components and then detecting clothing of the personnel, and the on-site search and rescue efficiency is improved.
Detailed Description
Embodiments of the forest-covering mountain field inspection platform and method of the present invention will be described in detail below.
The long focal length lens refers to a photographing lens having a longer focal length than that of a standard lens. The long focal length lens is classified into a general telephoto lens and an ultra telephoto lens. The focal length of a common telephoto lens is close to that of a standard lens, and the focal length of an ultra telephoto lens is far larger than that of the standard lens. Taking a 135 camera as an example, a photographing lens with a focal length of 85 mm-300 mm is a normal telephoto lens, and a super telephoto lens is more than 300 mm.
In the process of shooting distant objects, the shooting object cannot be zoomed in. The long-focus lens is needed, details of distant scenes can be well represented, and some shot objects which are not easy to access by people can be shot. Especially in wild animal shooting, a proper telephoto lens can be selected to give people a plurality of creation opportunities.
In the prior art, as mountain trees covered by forests are luxuriant, once accidents that accident personnel fall down to mountain bodies occur, the accident personnel are difficult to detect and position in a naked eye mode no matter in a mode of observation by a fixed observation station on the ground or in a mode of aerial observation by taking an aerial aircraft as a carrier.
In order to overcome the defects, the invention builds a forest covered mountain field detection platform and a method, and can effectively solve the corresponding technical problems.
The forest coverage mountain field detection platform shown according to the embodiment of the invention comprises:
the real-time display mechanism is arranged near the long-focus capture equipment, is used for displaying each received confirmation identification block, and is also used for displaying the received shooting view field direction and the shooting focal length;
the long-focus capturing device is arranged above the movable holder of the observation platform near the mountain peak, is connected with the real-time display mechanism, and is used for executing image capturing operations of different focal lengths in different directions on the mountain body covered with the forest around under the operation of manual movement so as to obtain and output a mountain body capturing image;
the long-focus capturing device obtains and outputs the mountain captured image, and simultaneously outputs a shooting view field direction adopted for obtaining the mountain captured image and a shooting focal length;
the guide filtering device is arranged in a control box in the observation platform, is connected with the tele capturing device and is used for executing guide filtering processing on the received mountain captured image so as to obtain and output a corresponding first filtered image;
the sharpening processing equipment is connected with the guide filtering equipment and is used for executing geometric mean filtering processing on the received first filtering image so as to obtain and output a corresponding sharpening processing image;
the maximum filtering equipment is connected with the sharpening processing equipment and is used for executing maximum filtering processing on the received sharpening processing image so as to obtain and output a corresponding second filtering image;
a first identification mechanism, disposed in a control box in the observation station, connected to the maximum value filtering apparatus, for performing an averaging type segmentation operation on the second filtered image to obtain respective image blocks, and calculating an overall green component value of each image block;
the second identification mechanism is connected with the first identification mechanism and is used for taking the image blocks with the overall green component values lower than a preset component threshold value as the primary identification blocks;
the third identification mechanism is respectively connected with the real-time display mechanism, the first identification mechanism and the second identification mechanism and is used for executing the following processing to each preliminary identification block: and identifying the clothing target in the preliminary identification block based on the color imaging characteristics of the clothing of the person to be searched and rescued, and outputting the preliminary identification block as a confirmation identification block when the number of pixel points occupied by the identified clothing target exceeds a preset number threshold.
Next, a detailed description will be given of a specific structure of the forest-cover mountain field inspection platform according to the present invention.
In the forest coverage mountain field detection platform:
and the third identification mechanism is also used for outputting the preliminary identification block as an in-doubt identification block when the number of the pixel points occupied by the identified clothing target does not exceed the preset number threshold.
In the forest coverage mountain field detection platform:
the color imaging characteristics of the clothing of the person to be searched and rescued are an overall green component value, an overall red component value and an overall blue component value of a factory picture of the clothing of the person to be searched and rescued.
In the forest coverage mountain field detection platform:
identifying the clothing target in the preliminary identification block based on the color imaging characteristics of the clothing of the person to be searched and rescued comprises: and taking the green component value in the preliminary identification block close to the whole green component value of the factory picture of the clothing of the person to be searched and rescued, the red component value in the preliminary identification block close to the whole red component value of the factory picture of the clothing of the person to be searched and rescued, and the blue component value in the preliminary identification block close to the whole blue component value of the factory picture of the clothing of the person to be searched and rescued as imaging pixel points of the clothing object.
In the forest coverage mountain field detection platform:
performing an averaging segmentation operation on the second filtered image to obtain image patches, and calculating an overall green component value for each image patch comprises: and acquiring the mean value of all green component values of all pixel points of each image block to be used as the integral green component value of the image block, wherein the green component value is the G component value in the RGB color space.
The forest coverage mountain field detection platform can further comprise:
the temperature regulation and control equipment is arranged inside the second identification mechanism and used for executing the regulation and control of the internal temperature of the second identification mechanism according to the internal temperature value of the second identification mechanism;
the second identification mechanism further comprises a temperature measurement quantum device connected with the temperature regulation and control device and used for providing an internal temperature value of the second identification mechanism.
In the forest coverage mountain field detection platform:
the first identification mechanism is provided on an integrated circuit board on which a voltage conversion device is provided at a position close to the first identification mechanism.
The forest coverage mountain field detection platform can further comprise:
the humidity measuring equipment is arranged on the shell of the first identification mechanism and used for measuring the humidity on the position of the shell of the first identification mechanism;
and the instant humidifying equipment is connected with the humidity measuring equipment and used for realizing corresponding humidifying action based on the received humidity.
In the forest coverage mountain field detection platform:
the third identification mechanism, the first identification mechanism and the second identification mechanism share the same user control interface, and the user control interface is realized by an SOC chip;
and a counter is arranged in the third identification mechanism and used for accumulating the operation times of the addition level of the third identification mechanism in real time.
Meanwhile, in order to overcome the defects, the invention also provides a forest coverage mountain field detection method, which comprises the step of using the forest coverage mountain field detection platform to realize directional search and rescue of personnel in the forest mountain area by adopting a specific detection mode of firstly identifying green components and then detecting clothing of the personnel.
In addition, in the forest coverage mountain field detection platform, image filtering, namely, suppressing the noise of a target image under the condition of keeping the detail characteristics of the image as much as possible, is an indispensable operation in image preprocessing, and the effectiveness and reliability of subsequent image processing and analysis are directly influenced by the quality of the processing effect. Due to the imperfections of the imaging system, the transmission medium, and the recording device, the digital images are often contaminated by various noises during the formation, transmission, and recording processes thereof. In addition, noise may also be 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 as an isolated pixel or block of pixels on the image that causes a strong visual effect. In general, the noise signal is not correlated with the object to be studied-it appears in the form of useless information, disturbing the observable information of the image. For digital image signals, the noise table is more or less extreme values, and the extreme values act on the real gray values of image pixels through addition and subtraction to cause bright and dark point interference on the image, so that the image quality is greatly reduced, and the follow-up work of image restoration, segmentation, feature extraction, image identification and the like is influenced. Two basic issues must be considered to construct an effective noise suppression filter: the noise in the target and the background can be effectively removed; meanwhile, the shape, the size and the specific geometric and topological structure characteristics of the image target can be well protected.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The utility model provides a forest cover massif witnessed inspections platform which characterized in that, the platform includes:
and the real-time display mechanism is arranged near the long-focus capture device and used for displaying each received confirmation identification block and displaying the received shooting view field direction and the shooting focal length.
2. The forest-covered mountain field inspection platform of claim 1, wherein the platform further comprises:
and the long-focus capturing device is arranged above the movable holder of the observation platform near the mountain peak, is connected with the real-time display mechanism, and is used for executing image capturing operations of different focal lengths in different directions on the mountain body covered with the forest around under the operation of manual movement so as to obtain and output a mountain body captured image.
3. The forest-covered mountain field inspection platform of claim 2, wherein:
the tele-capture device obtains and outputs the mountain-captured image, and simultaneously outputs a shooting view direction taken for obtaining the mountain-captured image together with a shooting focal length.
4. The forest-covered mountain field inspection platform of claim 3, wherein the platform further comprises:
the guide filtering device is arranged in a control box in the observation platform, is connected with the tele capturing device and is used for executing guide filtering processing on the received mountain captured image so as to obtain and output a corresponding first filtered image;
the sharpening processing equipment is connected with the guide filtering equipment and is used for executing geometric mean filtering processing on the received first filtering image so as to obtain and output a corresponding sharpening processing image;
the maximum filtering equipment is connected with the sharpening processing equipment and is used for executing maximum filtering processing on the received sharpening processing image so as to obtain and output a corresponding second filtering image;
a first identification mechanism, disposed in a control box in the observation station, connected to the maximum value filtering apparatus, for performing an averaging type segmentation operation on the second filtered image to obtain respective image blocks, and calculating an overall green component value of each image block;
the second identification mechanism is connected with the first identification mechanism and is used for taking the image blocks with the overall green component values lower than a preset component threshold value as the primary identification blocks;
the third identification mechanism is respectively connected with the real-time display mechanism, the first identification mechanism and the second identification mechanism and is used for executing the following processing to each preliminary identification block: identifying a clothing target in the preliminary identification block based on the color imaging characteristics of clothing of the person to be searched and rescued, and outputting the preliminary identification block as a confirmation identification block when the number of pixel points occupied by the identified clothing target exceeds a preset number threshold;
the third identification mechanism is further used for outputting the preliminary identification block as an in-doubt identification block when the number of the pixel points occupied by the identified clothing target does not exceed the preset number threshold;
the color imaging characteristics of the clothing of the person to be searched and rescued are an overall green component value, an overall red component value and an overall blue component value of a factory picture of the clothing of the person to be searched and rescued;
wherein identifying a clothing target in the preliminary identification block based on color imaging characteristics of clothing of the person to be searched for and rescued comprises: and taking the green component value in the preliminary identification block close to the whole green component value of the factory picture of the clothing of the person to be searched and rescued, the red component value in the preliminary identification block close to the whole red component value of the factory picture of the clothing of the person to be searched and rescued, and the blue component value in the preliminary identification block close to the whole blue component value of the factory picture of the clothing of the person to be searched and rescued as imaging pixel points of the clothing object.
5. The forest-covered mountain field inspection platform of claim 4, wherein:
performing an averaging segmentation operation on the second filtered image to obtain image patches, and calculating an overall green component value for each image patch comprises: and acquiring the mean value of all green component values of all pixel points of each image block to be used as the integral green component value of the image block, wherein the green component value is the G component value in the RGB color space.
6. The forest-covered mountain field inspection platform of claim 5, wherein the platform further comprises:
the temperature regulation and control equipment is arranged inside the second identification mechanism and used for executing the regulation and control of the internal temperature of the second identification mechanism according to the internal temperature value of the second identification mechanism;
the second identification mechanism further comprises a temperature measurement quantum device connected with the temperature regulation and control device and used for providing an internal temperature value of the second identification mechanism.
7. The forest-covered mountain field inspection platform of claim 6, wherein:
the first identification mechanism is provided on an integrated circuit board on which a voltage conversion device is provided at a position close to the first identification mechanism.
8. The forest-covered mountain field inspection platform of claim 7, wherein the platform further comprises:
the humidity measuring equipment is arranged on the shell of the first identification mechanism and used for measuring the humidity on the position of the shell of the first identification mechanism;
and the instant humidifying equipment is connected with the humidity measuring equipment and used for realizing corresponding humidifying action based on the received humidity.
9. The forest-covered mountain field inspection platform of claim 8, wherein:
the third identification mechanism, the first identification mechanism and the second identification mechanism share the same user control interface, and the user control interface is realized by an SOC chip;
and a counter is arranged in the third identification mechanism and used for accumulating the operation times of the addition level of the third identification mechanism in real time.
10. A forest coverage mountain field inspection method, the method comprising using the forest coverage mountain field inspection platform of any one of claims 1-9 to implement directional search and rescue of personnel in a forest mountain area using a green component recognition followed by a targeted detection mode of personnel garment detection.
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| CN202011299143.9A CN112911208A (en) | 2020-11-19 | 2020-11-19 | Forest coverage mountain field detection platform and method |
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| CN202011299143.9A CN112911208A (en) | 2020-11-19 | 2020-11-19 | Forest coverage mountain field detection platform and method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114708433A (en) * | 2022-04-04 | 2022-07-05 | 泰州镭昇光电科技有限公司 | State detection system based on cloud storage |
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| US20040005085A1 (en) * | 2002-07-04 | 2004-01-08 | Andersen Dan Keith | Method of aerial monitoring of forests |
| CN102610008A (en) * | 2012-03-31 | 2012-07-25 | 中国船舶重工集团公司第七一七研究所 | Ship borne light video searching and rescuing device |
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| CN111951160A (en) * | 2020-07-03 | 2020-11-17 | 广东工业大学 | Fire-fighting unmanned aerial vehicle image fusion method based on visible light and infrared thermal imaging |
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2020
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040005085A1 (en) * | 2002-07-04 | 2004-01-08 | Andersen Dan Keith | Method of aerial monitoring of forests |
| CN102610008A (en) * | 2012-03-31 | 2012-07-25 | 中国船舶重工集团公司第七一七研究所 | Ship borne light video searching and rescuing device |
| CN111272148A (en) * | 2020-01-20 | 2020-06-12 | 江苏方天电力技术有限公司 | Unmanned aerial vehicle autonomous inspection self-adaptive imaging quality optimization method for power transmission line |
| CN111951160A (en) * | 2020-07-03 | 2020-11-17 | 广东工业大学 | Fire-fighting unmanned aerial vehicle image fusion method based on visible light and infrared thermal imaging |
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Effective date of registration: 20211104 Address after: 214400 No. 22, Zhenyang Road, Qingyang Town, Jiangyin City, Wuxi City, Jiangsu Province Applicant after: Jiangsu youlanheng Environmental Protection Technology Co.,Ltd. Address before: Room 410, 1st floor, North building, No.18 factory building, co construction zone, hailing Industrial Park, Taizhou City, Jiangsu Province, 225300 Applicant before: Taizhou Radium Rising Photoelectric Technology Co.,Ltd. |
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| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210604 |