CN110926430B - Air-ground integrated mangrove forest monitoring system and control method - Google Patents
Air-ground integrated mangrove forest monitoring system and control method Download PDFInfo
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- CN110926430B CN110926430B CN201911157247.3A CN201911157247A CN110926430B CN 110926430 B CN110926430 B CN 110926430B CN 201911157247 A CN201911157247 A CN 201911157247A CN 110926430 B CN110926430 B CN 110926430B
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Abstract
The invention belongs to the technical field of monitoring systems, and discloses an air-ground integrated mangrove forest monitoring system and a control method, wherein a high-resolution aerial image of a statistical target area is obtained through an unmanned aerial vehicle or other aerial means, and the structural distribution of a mangrove forest is analyzed; detecting meteorological hydrology in the region by acquiring hydrological and meteorological environment factors; opening the image by using high-resolution image crown extraction software according to the data detected in the first step for processing, comparing the image with the original image, and determining the number of mangroves; estimating the mangrove forest pest condition according to the data detected in the first step by combining the image spectrum and the texture characteristics; and (3) carrying out species statistics on wild animals in the mangrove forest of the single block region by utilizing a statistical system sampling principle, and evaluating the motion species in the whole mangrove forest according to the detected animal species quantity to obtain the animal species. The invention adopts the remote sensing information technology to monitor the mangrove forest and transmit the information, thereby improving the monitoring quality and efficiency.
Description
Technical Field
The invention belongs to the technical field of monitoring systems, and particularly relates to an air-ground integrated mangrove forest monitoring system and a control method.
Background
At present, mangrove forest refers to tidal flat wetland civil biological community which is formed by evergreen shrubs or trees which grow on the upper part of the intertidal zone of the tropical and subtropical low-energy coast and are submerged by periodic tidal waters and mainly comprise mangrove plants. In the prior art, a mangrove forest is monitored by using a remote sensing technology; however, by the remote sensing monitoring technology, the monitored data is not comprehensive enough and the state of the mangrove forest cannot be correctly reflected; mangrove forest monitoring adopts traditional monitoring mode, and not only the content of monitoring is less, and the degree of accuracy of monitoring is lower moreover, leads to maintenance department to have more obstacle in the in-process of maintenance.
In summary, the problems of the prior art are as follows:
through the remote sensing monitoring technology, the monitored data is not comprehensive enough, and the state of the mangrove forest cannot be correctly reflected.
Mangrove forest monitoring adopts traditional monitoring mode, and not only the content of monitoring is less, and the degree of accuracy of monitoring is lower moreover, leads to maintenance department to have more obstacle in the in-process of maintenance.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an air-to-ground integrated mangrove forest monitoring system and a control method.
The invention is realized in this way, a monitoring method of an air-ground integrated mangrove forest monitoring system, which specifically comprises the following steps:
acquiring a high-resolution aerial image of a statistical target area through an unmanned aerial vehicle or other aerial means, and analyzing the structural distribution of a mangrove forest; detecting meteorological hydrology in the region by acquiring hydrological and meteorological environment factors; meanwhile, satellite images and data of mangrove forest pest conditions are investigated on the spot;
step two, opening an image by using high-resolution image crown extraction software for processing according to the data detected in the step one, and comparing the image with the original image to determine the number of mangroves;
thirdly, estimating the mangrove forest pest situation by adopting a multivariate stepwise regression analysis method according to the data detected in the first step and combining the image spectrum and the texture characteristics; meanwhile, by utilizing a statistical system sampling principle, carrying out species statistics on wild animals in the mangrove forest of a single block area, and evaluating the action species in the whole mangrove forest according to the detected animal species quantity to obtain the animal species;
and step four, the control system transmits the detected data and the obtained result to a display screen for displaying.
Further, in the third step, a specific process of extracting the image texture is as follows:
classifying the insect pest characteristic segment images, and extracting appropriate geometric characteristic indexes from the classified images;
according to a certain elimination rule, characteristic elements irrelevant to the plant diseases and insect pests are eliminated from the classified images to obtain characteristic elements relevant to the plant diseases and insect pests, and analysis is carried out according to the corresponding characteristic elements of the plant diseases and insect pests.
Further, in the step one, a specific process of analyzing the mangrove forest structure distribution is as follows:
firstly, setting a corresponding sample plot in a mangrove forest, and selecting characteristics on the mangrove forest;
shooting the structure distribution of the mangrove forest by utilizing high-altitude shooting of an unmanned aerial vehicle, and carrying out statistical analysis on the structure frequency of the mangrove forest according to the shot image information;
the statistical distribution hypothesis testing function in statistical software is selected for testing, 5 continuous distributions are selected from 12 test distributions provided by the software, and the testing methods are all chi-square tests.
Further, in the third step, the action types in the whole mangrove forest are evaluated according to the number of the detected animal types, and the specific process of the animal types is obtained as follows:
selecting a proper wild animal investigation place in the mangrove forest, and performing on a diagonal line of a surrounded sample by adopting a sample line investigation method;
meanwhile, according to the activity habits of different animals, respectively advancing at a certain speed in the sample ground lines of dusk, noon and evening, counting encountered animals, corpses, hairs and excrement, and recording the distance and the number of the animals from the sample ground lines;
and (4) compiling the category directory of the animals into an attached table, calculating the number of individuals according to a corresponding formula in minutes, and recording the result in a corresponding database.
Another object of the present invention is to provide an open-air integrated mangrove forest monitoring system for implementing the monitoring method of the open-air integrated mangrove forest monitoring system, comprising:
the mangrove forest number monitoring module is connected with the transmission module, acquires a high-resolution aerial image of a statistical target area through an unmanned aerial vehicle or other aerial means, opens the image for processing by using high-resolution image crown extraction software, compares the image with an original image, and determines the mangrove forest number;
the mangrove forest region hydrological meteorological monitoring module is connected with the transmission module and is used for detecting the meteorological hydrology of the region by acquiring hydrological and meteorological environment factors;
the mangrove pest monitoring module is connected with the transmission module, the satellite image and the data of the mangrove pest situation are investigated on the spot, and the mangrove pest situation is estimated by adopting a multivariate stepwise regression analysis method in combination with the image spectrum and the texture characteristics;
the mangrove forest structure distribution monitoring module is connected with the transmission module, shoots the mangrove forest structure distribution through high-altitude shooting by an unmanned aerial vehicle and transmits the mangrove forest structure distribution to the transmission module;
mangrove forest wild animal species monitoring module is connected with the transmission module, and by utilizing the sampling principle of a statistical system, species statistics is carried out on wild animals in mangrove forest of a single block area, and according to the number of detected animal species, the action species in the whole mangrove forest are evaluated to obtain the animal species.
Further, the transmission module is connected with the display module, and the display screen is used for displaying the related detection information of the mangrove forest;
and the transmission module is connected with the transmission module, processes the collected mangrove forest data by utilizing the data processor, and coordinates the operation of each module.
Further, the transmission module for processing the collected mangrove forest data by using the data processor and coordinating the operation of each module comprises:
the mangrove forest related data receiving module receives various data information related to the mangrove forest, which is collected by the detection terminals in the modules, by using related programs;
the mangrove forest related data statistical analysis module is used for carrying out common analysis and classified summarization on a large amount of stored data by utilizing a distributed database;
the mangrove forest related data mining module inputs related data extraction features in calculation and performs feature matching extraction on information in the database;
and the mangrove forest related data import module imports the extracted information into a display module terminal for display.
Further, the transmission module for processing the collected mangrove forest data by using the data processor and coordinating the operation of each module comprises:
the mangrove image gray level enhancement module is used for carrying out color gray level processing on the whole mangrove image according to the set image enhancement parameters;
the mangrove image histogram enhancement module is used for scanning pixel points of the image and carrying out gray level statistics on the width and the height of the mangrove original image according to the set image enhancement parameters; according to the scanning result, histogram equalization and specification are carried out;
the mangrove image filtering module is used for carrying out smoothing or sharpening filtering on the collected mangrove image according to the set image enhancement parameters;
further, mangrove region hydrology meteorological monitoring module that carries out the detection of meteorological hydrology to the region of place through gathering hydrology, meteorological environment factor includes:
the mangrove sample plot temperature and humidity detection module detects the temperature and the humidity in air or soil by utilizing the temperature and the humidity and transmits detected data information to the control module;
the mangrove sample plot wind speed and direction detection module is used for installing corresponding wind speed sensors in all directions of the mangrove sample plot, detecting the wind speeds in all directions, solving the average value of the collected data and transmitting the detected data information to the control module;
the mangrove sample plot rainfall detection module is used for setting a corresponding rainfall gauge in the mangrove sample plot, adopting corresponding rainfall information and transmitting the detected data information to the control module.
Further, mangrove insect pest monitoring module includes:
mangrove insect pest image transformation module, through the image transformation method, for example: fourier transform, discrete cosine transform, converting the spatial domain into transform domain processing.
And the mangrove forest insect pest image compression module compresses the mangrove forest insect pest images in the variable domains by using an image compression program.
The mangrove insect image enhancement and restoration module restores and strengthens the compressed image, analyzes the mangrove insect image, denoises the mangrove, and improves the definition of the image.
The mangrove pest image segmentation module analyzes the restored and enhanced mangrove pest image by utilizing a segmentation technology and extracts corresponding pest characteristic fragments.
And the mangrove insect pest image description module is used for describing the texture image by adopting two-dimensional texture characteristics for the insect pest characteristic fragment image.
The invention has the advantages and positive effects that:
the invention adopts the remote sensing information technology to monitor the mangrove forest and transmit the information, thereby not only improving the monitoring quality, but also improving the monitoring efficiency, adding a pest monitoring module and greatly providing the convenience for preventing and controlling pests for the maintenance department.
The transmission module utilizes the image gray level and the histogram to carry out image enhancement, so that the analyzed image is convenient to extract corresponding characteristics, and analysis is carried out according to the extracted characteristic data; meanwhile, smoothing or sharpening filtering is carried out on the collected mangrove forest image in a transmission module, smaller details can be filtered and removed or small breaks in the targets can be connected before a larger target is extracted, and the blurred details or the edges of scenes in the image are enhanced. According to the invention, the high-resolution aerial image of the statistical target area is obtained by the unmanned aerial vehicle or other aerial photographing means, the image is opened by the high-resolution image crown extraction software for processing, and compared with the original image, the number of mangroves is determined, and the detection precision is improved. The method and the device can be used for detecting the meteorological hydrology in the region by collecting the hydrological and meteorological environment factors, so that the obtained data are more comprehensive and accurate.
The invention estimates the pest condition of mangrove forest by satellite images and field investigation of the pest condition data of mangrove forest by adopting a multivariate stepwise regression analysis method in combination with image spectra and texture characteristics. The invention utilizes the sampling principle of a statistical system to carry out species statistics on wild animals in mangrove forests in a single block area, and can carry out correct evaluation on the types of actions in the whole mangrove forests according to the number of the detected animal species to obtain the animal species.
Drawings
FIG. 1 is a schematic structural diagram of an air-to-ground integrated mangrove forest monitoring system provided in an embodiment of the present invention;
fig. 2 is a flowchart of a monitoring method of an air-to-ground integrated mangrove forest monitoring system according to an embodiment of the present invention.
In the figure: 1. a display module; 2. a transmission module; 3. mangrove forest quantity monitoring module; 4. mangrove forest region hydrological meteorological monitoring module; 5. mangrove pest monitoring module; 6. mangrove forest structure distribution monitoring module; 7. mangrove wild animal species monitoring module.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.
The structure of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the air-to-ground integrated mangrove forest monitoring system provided in the embodiment of the present invention includes:
and the display module 1 is connected with the transmission module 2 and displays the detection information related to the mangrove forest by utilizing the display screen.
And the transmission module 2 is connected with the transmission module 2, processes the collected mangrove forest data by utilizing a data processor, and coordinates the operation of each module.
Mangrove quantity monitoring module 3 is connected with transmission module 2, acquires the high resolution aerial image of statistics target area through unmanned aerial vehicle or other means of taking photo by plane, draws the software with high resolution image crown and opens the image and handle, compares with original image, confirms mangrove quantity.
Mangrove region hydrology meteorological monitoring module 4 is connected with transmission module 2, carries out the detection of meteorological hydrology to the region of being in through gathering hydrology, meteorological environment factor.
The mangrove insect pest monitoring module 5 is connected with the transmission module 2, the satellite images and the data of the mangrove insect pest situation of field investigation are combined with the image spectrum and the texture characteristics, and the mangrove insect pest situation is estimated by adopting a multivariate stepwise regression analysis method.
Mangrove structure distribution monitoring module 6 is connected with transmission module 2, shoots the structure distribution of mangrove through unmanned aerial vehicle high altitude to shoot, and transmit transmission module 2.
Mangrove forest wildlife species monitoring module 7 is connected with the transmission module 2, and utilizes the sampling principle of a statistical system to perform species statistics on wildlife in mangrove forest of a single block area, and estimates the action species in the whole mangrove forest according to the detected animal species number to obtain the animal species.
The transmission module 2, which is provided by the embodiment of the invention and used for processing the collected mangrove forest data by using the data processor and coordinating the operation of each module, comprises:
the mangrove forest related data receiving module receives various data information related to the mangrove forest, which is collected by the detection terminals in the modules, by using related programs.
The mangrove forest related data statistical analysis module utilizes the distributed database to perform common analysis and classified collection on a large amount of stored data.
And the mangrove forest related data mining module inputs related data extraction features in calculation and performs feature matching extraction on the information in the database.
And the mangrove forest related data import module imports the extracted information into a display module terminal for display.
The transmission module 2, which is provided by the embodiment of the invention and used for processing the collected mangrove forest data by using the data processor and coordinating the operation of each module, comprises:
the mangrove image gray level enhancement module is used for carrying out color gray level processing on the whole mangrove image according to the set image enhancement parameters;
the mangrove image histogram enhancement module is used for scanning pixel points of the image and carrying out gray level statistics on the width and the height of the mangrove original image according to the set image enhancement parameters; based on the results of the scan, the histogram is equalized and specified.
And the mangrove image filtering module is used for carrying out smoothing or sharpening filtering on the collected mangrove image according to the set image enhancement parameters.
The mangrove forest region hydrological meteorological monitoring module 4 for detecting meteorological hydrology in a region by collecting hydrological and meteorological environment factors, provided by the embodiment of the invention, comprises:
mangrove sample plot humiture detection module utilizes the humiture in humiture detection air or soil to will detect data message and transmit control module.
And the mangrove sample plot wind speed and direction detection module is used for installing corresponding wind speed sensors in all directions of the mangrove sample plot, detecting the wind speeds in all directions, averaging the acquired data and transmitting the detected data information to the control module.
The mangrove sample plot rainfall detection module is used for setting a corresponding rainfall gauge in the mangrove sample plot, adopting corresponding rainfall information and transmitting the detected data information to the control module.
The mangrove forest pest monitoring module 5 provided by the embodiment of the invention comprises:
mangrove insect pest image transformation module, through the image transformation method, for example: fourier transform, discrete cosine transform, converting the spatial domain into transform domain processing.
And the mangrove forest insect pest image compression module compresses the mangrove forest insect pest images in the variable domains by using an image compression program.
The mangrove insect image enhancement and restoration module restores and strengthens the compressed image, analyzes the mangrove insect image, denoises the mangrove, and improves the definition of the image.
The mangrove pest image segmentation module analyzes the restored and enhanced mangrove pest image by utilizing a segmentation technology and extracts corresponding pest characteristic fragments.
And the mangrove insect pest image description module is used for describing the texture image by adopting two-dimensional texture characteristics for the insect pest characteristic fragment image.
The specific process of the mangrove forest insect pest image description module for extracting the image texture is as follows:
classifying the insect pest characteristic segment images, and extracting appropriate geometric characteristic indexes from the classified images; according to a certain elimination rule, characteristic elements irrelevant to the plant diseases and insect pests are eliminated from the classified images to obtain characteristic elements relevant to the plant diseases and insect pests, and analysis is carried out according to the corresponding characteristic elements of the plant diseases and insect pests.
The specific process of analyzing the mangrove forest structure distribution by the mangrove forest structure distribution monitoring module 6 provided by the embodiment of the invention is as follows:
firstly, setting a corresponding sample plot in a mangrove forest, and selecting characteristics on the mangrove forest;
shooting the structure distribution of the mangrove forest by utilizing high-altitude shooting of an unmanned aerial vehicle, and carrying out statistical analysis on the structure frequency of the mangrove forest according to the shot image information;
the statistical distribution hypothesis testing function in statistical software is selected for testing, 5 continuous distributions are selected from 12 test distributions provided by the software, and the testing methods are all chi-square tests.
The invention utilizes the sampling principle of a statistical system, a mangrove forest wild animal species monitoring module 7 for carrying out species statistics on wild animals in mangrove forests in a single block area, and evaluates the action species in the whole mangrove forests according to the detected animal species quantity to obtain the specific process of the animal species, which comprises the following steps:
selecting a proper wild animal investigation place in the mangrove forest, and performing on a diagonal line of a surrounded sample by adopting a sample line investigation method;
meanwhile, according to the activity habits of different animals, respectively advancing at a certain speed in the sample ground lines of dusk, noon and evening, counting encountered animals, corpses, hairs and excrement, and recording the distance and the number of the animals from the sample ground lines;
and (4) compiling the category directory of the animals into an attached table, calculating the number of individuals according to a corresponding formula in minutes, and recording the result in a corresponding database.
As shown in the drawings, the monitoring method of the air-ground integrated mangrove forest monitoring system provided by the embodiment of the invention specifically comprises the following steps:
s101: acquiring a high-resolution aerial image of a statistical target area through an unmanned aerial vehicle or other aerial means, and analyzing the structural distribution of the mangrove forest; detecting meteorological hydrology in the region by acquiring hydrological and meteorological environment factors; meanwhile, the satellite images and data of the mangrove forest pest situation are investigated on the spot.
S102: and (4) opening the image by using high-resolution image crown extraction software according to the data detected in the step one, processing the image, comparing the image with the original image, and determining the number of mangroves.
S103: estimating the mangrove forest pest condition by a multivariate stepwise regression analysis method according to the data detected in the first step and combining the image spectrum and the texture characteristics; meanwhile, the species statistics of wild animals is carried out on the mangrove forest in a single block area by utilizing the sampling principle of a statistical system, and the types of actions in the whole mangrove forest are evaluated according to the number of the detected animal species to obtain the animal species.
S104: and the control system transmits the detected data and the obtained result to a display screen for displaying.
The working principle of the invention is as follows:
the mangrove forest number monitoring module 3 acquires high-resolution aerial images of the statistical target area through an unmanned aerial vehicle or other aerial photographing means, and the high-resolution aerial images are processed by opening images through high-resolution image crown extraction software and compared with original images to determine the mangrove forest number. The mangrove forest region hydrological meteorological monitoring module 4 detects the meteorological hydrology of the region by collecting hydrological and meteorological environment factors. And satellite images in the mangrove forest pest monitoring module 5 and data of the mangrove forest pest situation are investigated on the spot, and the mangrove forest pest situation is estimated by adopting a multivariate stepwise regression analysis method in combination with image spectra and texture characteristics. Mangrove structure distribution monitoring module 6 shoots the structure distribution of mangrove through unmanned aerial vehicle high altitude shooting to transmit transmission module 2. The mangrove forest wild animal species monitoring module 7 carries out species statistics on wild animals in the mangrove forest of a single block area by utilizing a statistical system sampling principle, and evaluates the motion species in the whole mangrove forest according to the detected animal species quantity to obtain the animal species.
According to the monitoring data, the transmission module 2 processes the collected mangrove forest data by using a data processor and coordinates the operation of each module. The display module 1 displays mangrove forest related detection information by using a display screen.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.
Claims (9)
1. The monitoring method of the air-to-ground integrated mangrove forest monitoring system is characterized by comprising the following steps:
acquiring a high-resolution aerial image of a statistical target area through an unmanned aerial vehicle or other aerial means, and analyzing the structural distribution of a mangrove forest; detecting meteorological hydrology in the region by acquiring hydrological and meteorological environment factors; meanwhile, satellite images and data of mangrove forest pest conditions are investigated on the spot;
step two, opening an image by using high-resolution image crown extraction software for processing according to the data detected in the step one, and comparing the image with the original image to determine the number of mangroves;
thirdly, estimating the mangrove forest pest situation by adopting a multivariate stepwise regression analysis method according to the data detected in the first step and combining the image spectrum and the texture characteristics; meanwhile, by utilizing a statistical system sampling principle, carrying out species statistics on wild animals in the mangrove forest of a single block area, and evaluating the action species in the whole mangrove forest according to the detected animal species quantity to obtain the animal species;
step four, the control system transmits the detected data and the obtained result to a display screen for displaying;
in the third step, the specific process of extracting the image texture is as follows:
classifying the insect pest characteristic segment images, and extracting appropriate geometric characteristic indexes from the classified images;
according to a certain elimination rule, characteristic elements irrelevant to the plant diseases and insect pests are eliminated from the classified images to obtain characteristic elements relevant to the plant diseases and insect pests, and analysis is carried out according to the corresponding characteristic elements of the plant diseases and insect pests.
2. The method for monitoring the air-to-ground integrated mangrove forest monitoring system according to claim 1, wherein in the first step, the specific process of analyzing the mangrove forest structure distribution is as follows:
firstly, setting a corresponding sample plot in a mangrove forest, and selecting characteristics on the mangrove forest;
shooting the structure distribution of the mangrove forest by utilizing high-altitude shooting of an unmanned aerial vehicle, and carrying out statistical analysis on the structure frequency of the mangrove forest according to the shot image information;
the statistical distribution hypothesis testing function in statistical software is selected for testing, 5 continuous distributions are selected from 12 test distributions provided by the software, and the testing methods are all chi-square tests.
3. The method for monitoring the open-air integrated mangrove forest monitoring system according to claim 1, wherein in the third step, the action types in the whole mangrove forest are evaluated according to the number of the detected animal types, and the specific process of the animal types is obtained as follows:
selecting a proper wild animal investigation place in the mangrove forest, and performing on a diagonal line of a surrounded sample by adopting a sample line investigation method;
meanwhile, according to the activity habits of different animals, respectively advancing at a certain speed in the sample ground lines of dusk, noon and evening, counting encountered animals, corpses, hairs and excrement, and recording the distance and the number of the animals from the sample ground lines;
and (4) compiling the category directory of the animals into an attached table, calculating the number of individuals according to a corresponding formula in minutes, and recording the result in a corresponding database.
4. An air-to-ground integrated mangrove monitoring system for implementing the monitoring method of any one of claims 1 to 3, wherein the air-to-ground integrated mangrove monitoring system comprises:
the mangrove forest number monitoring module is connected with the transmission module, acquires a high-resolution aerial image of a statistical target area through an unmanned aerial vehicle or other aerial means, opens the image for processing by using high-resolution image crown extraction software, compares the image with an original image, and determines the mangrove forest number;
the mangrove forest region hydrological meteorological monitoring module is connected with the transmission module and is used for detecting the meteorological hydrology of the region by acquiring hydrological and meteorological environment factors;
the mangrove pest monitoring module is connected with the transmission module, the satellite image and the data of the mangrove pest situation are investigated on the spot, and the mangrove pest situation is estimated by adopting a multivariate stepwise regression analysis method in combination with the image spectrum and the texture characteristics;
the mangrove forest structure distribution monitoring module is connected with the transmission module, shoots the mangrove forest structure distribution through high-altitude shooting by an unmanned aerial vehicle and transmits the mangrove forest structure distribution to the transmission module;
mangrove forest wild animal species monitoring module is connected with the transmission module, and by utilizing the sampling principle of a statistical system, species statistics is carried out on wild animals in mangrove forest of a single block area, and according to the number of detected animal species, the action species in the whole mangrove forest are evaluated to obtain the animal species.
5. The air-to-ground integrated mangrove forest monitoring system of claim 4, wherein the transmission module is connected with the display module to display the mangrove forest related detection information by using the display screen;
and the transmission module is connected with the transmission module, processes the collected mangrove forest data by utilizing the data processor, and coordinates the operation of each module.
6. The air-to-ground integrated mangrove forest monitoring system of claim 4, wherein the transmission module for processing the collected mangrove forest data by using the data processor and coordinating the operation of each module comprises:
the mangrove forest related data receiving module receives various data information related to the mangrove forest, which is collected by the detection terminals in the modules, by using related programs;
the mangrove forest related data statistical analysis module is used for carrying out common analysis and classified summarization on a large amount of stored data by utilizing a distributed database;
the mangrove forest related data mining module inputs related data extraction features in calculation and performs feature matching extraction on information in the database;
and the mangrove forest related data import module imports the extracted information into a display module terminal for display.
7. The air-to-ground integrated mangrove forest monitoring system of claim 4, wherein the transmission module for processing the collected mangrove forest data by using the data processor and coordinating the operation of each module comprises:
the mangrove image gray level enhancement module is used for carrying out color gray level processing on the whole mangrove image according to the set image enhancement parameters;
the mangrove image histogram enhancement module is used for scanning pixel points of the image and carrying out gray level statistics on the width and the height of the mangrove original image according to the set image enhancement parameters; according to the scanning result, histogram equalization and specification are carried out;
and the mangrove image filtering module is used for carrying out smoothing or sharpening filtering on the collected mangrove image according to the set image enhancement parameters.
8. The air-ground integrated mangrove forest monitoring system of claim 4, wherein the mangrove forest regional hydrological meteorological monitoring module for detecting meteorological hydrology in the region by collecting hydrological and meteorological environmental factors comprises:
the mangrove sample plot temperature and humidity detection module detects the temperature and the humidity in air or soil by utilizing the temperature and the humidity and transmits detected data information to the control module;
the mangrove sample plot wind speed and direction detection module is used for installing corresponding wind speed sensors in all directions of the mangrove sample plot, detecting the wind speeds in all directions, solving the average value of the collected data and transmitting the detected data information to the control module;
the mangrove sample plot rainfall detection module is used for setting a corresponding rainfall gauge in the mangrove sample plot, adopting corresponding rainfall information and transmitting the detected data information to the control module.
9. An air-to-ground integrated mangrove forest monitoring system according to claim 4, wherein the mangrove forest pest monitoring module comprises:
mangrove insect pest image transformation module, through the image transformation method, for example: fourier transform and discrete cosine transform, and the spatial domain is converted into transform domain for processing;
the mangrove forest insect pest image compression module compresses the transformed mangrove forest insect pest image by using an image compression program;
the mangrove pest image enhancement and restoration module is used for restoring and enhancing the compressed image, analyzing the mangrove pest image, denoising the mangrove, and improving the definition of the image;
the mangrove pest image segmentation module analyzes the restored and enhanced mangrove pest image by utilizing a segmentation technology and extracts a corresponding pest characteristic segment;
and the mangrove insect pest image description module is used for describing the texture image by adopting two-dimensional texture characteristics for the insect pest characteristic fragment image.
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