CN109269993A - A kind of recognition methods of dissolved oxygen, device, storage medium and equipment - Google Patents

A kind of recognition methods of dissolved oxygen, device, storage medium and equipment Download PDF

Info

Publication number
CN109269993A
CN109269993A CN201811197880.0A CN201811197880A CN109269993A CN 109269993 A CN109269993 A CN 109269993A CN 201811197880 A CN201811197880 A CN 201811197880A CN 109269993 A CN109269993 A CN 109269993A
Authority
CN
China
Prior art keywords
dissolved oxygen
black
water body
image
water
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201811197880.0A
Other languages
Chinese (zh)
Inventor
韩留生
周成虎
杨骥
李勇
杨传训
张晨
赵倩
王树详
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Institute of Geography of GDAS
Original Assignee
Guangzhou Institute of Geography of GDAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangzhou Institute of Geography of GDAS filed Critical Guangzhou Institute of Geography of GDAS
Priority to CN201811197880.0A priority Critical patent/CN109269993A/en
Publication of CN109269993A publication Critical patent/CN109269993A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/55Specular reflectivity
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N2021/1793Remote sensing

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The present invention relates to a kind of recognition methods of dissolved oxygen, device, storage medium and equipment, comprising: obtain the dissolved oxygen content of ground black and odorous water sampled point, ground black and odorous water sampled point each wave band water body reflectivity;Obtain the water body reflectivity of black and odorous water sampled point each wave band in unmanned plane multispectral remote sensing photographic device;The water body reflectivity of the dissolved oxygen content of ground black and odorous water sampled point, black and odorous water sampled point each wave band in unmanned plane multispectral remote sensing photographic device is subjected to correlation analysis, determines the water body reflectivity of optimal bands combined;The dissolved oxygen content of water body reflectivity in optimal bands combined is fitted, determines relational model;Obtain the black and odorous water image in region to be measured;According to relational model and black and odorous water image, the distribution of dissolved oxygen is determined.The present invention is not necessarily to region field survey to be measured, without chemical assay is carried out, realizes the quick identification to the dissolved oxygen of the black and odorous water of extensive area.

Description

A kind of recognition methods of dissolved oxygen, device, storage medium and equipment
Technical field
The present invention relates to dissolved oxygen detection fields, more particularly to a kind of recognition methods of dissolved oxygen, device, storage medium And equipment.
Background technique
Chief component of the surface water body as water resource, being distributed, investigate, administer, planning and monitoring to it also has Significance.And in the process of city prosperity, industry, agricultural and sanitary wastewater make the surface water body in completed region of the city not It is limpid again, or even there is the smelly problem that blacks, become the black and odorous water in city.The original that these black and odorous waters are formed Because be by the dissolved oxygen content in water body it is too low caused by, therefore, by being detected to the dissolved oxygen in black and odorous water, to rear The distribution and detection of continuous black and odorous water have great directive function.
Inventor has found that the detection to the dissolved oxygen of black and odorous water is usually from ground in carrying out innovation and creation of the invention Face region to be measured directly acquires the sample of black and odorous water, and is directly obtained by the chemical detection of the sample to black and odorous water molten The distribution situation of oxygen is solved, this mode is only limited to the research in small range region, and researcher is needed to reach region to be measured It is acquired, requires chemical detection every time to obtain dissolved oxygen, operate inconvenient.Therefore, how to realize to a wide range of The dissolution oxygen distribution of the black and odorous water in region is identified, urgent problem to be solved is become.
Summary of the invention
Based on this, the object of the present invention is to provide a kind of recognition methods of dissolved oxygen, have without arriving region to be measured Field survey is carried out, without progress chemical assay, it can be achieved that the quick knowledge of the dissolved oxygen to the black and odorous water of extensive area Other advantage.
A kind of recognition methods of dissolved oxygen, includes the following steps:
The dissolved oxygen content and ground black and odorous water sampled point for obtaining ground black and odorous water sampled point are in each wave band Water body reflectivity;
According to the ground black and odorous water sampled point in the water body reflectivity of each wave band, obtains black and odorous water sampled point and exist The water body reflectivity of each wave band in unmanned plane multispectral remote sensing photographic device;
The dissolved oxygen content of the ground black and odorous water sampled point and the black and odorous water sampled point is more in unmanned plane The water body reflectivity of each wave band carries out correlation analysis in spectral remote sensing photographic device, determines the best band of characterization dissolved oxygen Combined water body reflectivity;
Dissolved oxygen content under the water body reflectivity of optimal bands combined is fitted, determine dissolved oxygen content with most The relational model of the water body reflectivity of good band combination;Wherein, the water body of the dissolution oxygen distribution and optimal bands combined reflects The relationship of rate meets: the concentration of dissolved oxygen linearly increases with the increase of the water body reflectivity of optimal bands combined;
The unmanned plane multispectral image in region to be measured is obtained, and determines black and odorous water image;
According to the relational model and the black and odorous water image, the distribution of dissolved oxygen is determined.
By determining the dissolved oxygen of ground black and odorous water sampled point and the best wave of unmanned plane multispectral remote sensing photographic device The relational model of the water body reflectivity of Duan Zuhe, and then divided according to the space that the black and odorous water in region to be measured can be obtained dissolved oxygen Cloth, without chemical assay is carried out, is realized to the black smelly of extensive area without carrying out field survey to region to be measured The quick identification of the dissolved oxygen of water body.
In one embodiment, by will be described anti-in the water body of each wave band according to the ground black and odorous water sampled point It penetrates rate and carries out convolution algorithm mapping, obtain black and odorous water sampled point each wave band in unmanned plane multispectral remote sensing photographic device Water body reflectivity, wherein the mode of the convolution algorithm mapping are as follows:
In formula, λ indicates wavelength, and λ min is the start wavelength of unmanned plane multispectral remote sensing photographic device, and λ max is nobody The termination wavelength of machine multispectral remote sensing photographic device;R (λ) is the water body reflectivity that ground black and odorous water sampled point is λ in wavelength; F (λ) is spectral response functions;The water body reflectivity of R expression unmanned plane multispectral remote sensing photographic device.
In one embodiment, the table of the relational model of the water body reflectivity of the dissolved oxygen content and optimal bands combined Show mode are as follows: y=111.514x+6.1708, wherein x indicates that the water body reflectivity of optimal bands combined, y indicate that dissolved oxygen contains Amount;The water body reflectivity of the optimal bands combined is the water body reflectivity at wave band 660nm and the water at wave band 735nm The difference of volume reflectivity.
In one embodiment, the unmanned plane multispectral image for obtaining region to be measured, and determine black and odorous water image The step of, comprising:
Obtain the unmanned plane multispectral image in region to be measured;Wherein, the multispectral image includes shooting to region to be measured Several continuous unmanned plane multispectral images;
Several continuous unmanned plane multispectral images are spliced, the global image in region to be measured is obtained;
Radiant correction is carried out to the global image, the global image after being corrected;
The global image after correction is handled by sobel operator, obtains global gradient image;
8 field connected domain calculations are used to the global gradient image, the global gradient image are divided into more A connected domain;
The area that each connected domain is counted by histogram method obtains the connection area of each connected domain, if connected domain Connection area is not up to preset connection area threshold, then the connected domain is determined as non-black and odorous water image;
If connected domain area reaches preset connection area threshold, according to suspension bed sediment inversion method, the company is calculated The Suspended Sedimentation Concentration in logical domain;The connected domain is rejected if Suspended Sedimentation Concentration is greater than 100mg/L;Otherwise, by the connected domain It is determined as black and odorous water image, wherein the calculation formula of the suspension bed sediment inversion method are as follows: y=2570x2-6531x+ 3748;Wherein x=lg [R (660)]/lg [R (550)], R (660) indicate that central wavelength is the reflectivity of wave band at 660nm, R (550) indicate that central wavelength is the reflectivity of wave band at 550nm;Y is concentration of suspension.
By combining sobel operator and Connected area disposal$ mode, the quick determination to black and odorous water is realized.
In one embodiment, the unmanned plane multispectral image in the region to be measured are as follows: multispectral by UAV flight Several continuous multispectral images that remote sensing photographic device obtains.
In one embodiment, the unmanned plane multispectral image in the region to be measured is that UAV flight's multispectral remote sensing is taken the photograph The image of the green channel and red channel that are obtained as device, by green channel and red channel with by black and odorous water and other Atural object is effectively distinguished.
In one embodiment, described according to the relational model and the black and odorous water image, determine point of dissolved oxygen After cloth, the concentration according to dissolution oxygen distribution is further comprised the steps of:, is that dissolved oxygen lacks area and dissolution by region division to be measured The normal area of oxygen, and lack area's setting aerator in dissolved oxygen and increase dissolved oxygen content.
The present invention also provides a kind of identification devices of dissolved oxygen, comprising:
Sample point data obtains module, and the dissolved oxygen content and ground for obtaining ground black and odorous water sampled point are black Water body reflectivity of the smelly water body sampled point in each wave band;
Water body reflectivity obtains module, reflects for the water body according to the ground black and odorous water sampled point in each wave band Rate obtains the water body reflectivity of black and odorous water sampled point each wave band in unmanned plane multispectral remote sensing photographic device;
Wave band determining module, for by the dissolved oxygen content of the ground black and odorous water sampled point and the black smelly water The water body reflectivity of sampler body point each wave band in unmanned plane multispectral remote sensing photographic device carries out correlation analysis, determines table Levy the water body reflectivity of the optimal bands combined of dissolved oxygen;
Relational model determining module, for intending the dissolved oxygen content under the water body reflectivity of optimal bands combined It closes, determines the relational model of the water body reflectivity of dissolved oxygen content and optimal bands combined;Wherein, the dissolved oxygen content with most The relationship of the water body reflectivity of good band combination meets: the content of dissolved oxygen with the water body reflectivity of optimal bands combined increasing Add linear growth;
Black and odorous water image collection module for obtaining the unmanned plane multispectral image in region to be measured, and determines black smelly water Body image;
Oxygen distribution determining module is dissolved, for determining dissolved oxygen according to the relational model and the black and odorous water image Distribution.
By determining the dissolved oxygen of ground black and odorous water sampled point and the best wave of unmanned plane multispectral remote sensing photographic device The relational model of the water body reflectivity of Duan Zuhe, and then divided according to the space that the black and odorous water in region to be measured can be obtained dissolved oxygen Cloth, without chemical assay is carried out, is realized to the black smelly of extensive area without carrying out field survey to region to be measured The quick identification of the dissolved oxygen of water body.
The present invention also provides a kind of computer readable storage mediums, store computer program thereon, the computer program The step of recognition methods of dissolved oxygen described in above-mentioned any one is realized when being executed by processor.
The present invention also provides a kind of computer equipment, including reservoir, processor and it is stored in the reservoir simultaneously The computer program that can be executed by the processor, the processor are realized when executing the computer program as above-mentioned any one The step of recognition methods of the item dissolved oxygen.
In order to better understand and implement, the invention will now be described in detail with reference to the accompanying drawings.
Detailed description of the invention
Fig. 1 is the flow chart of the recognition methods of dissolved oxygen in the embodiment of the present invention.
Specific embodiment
Referring to Fig. 1, its flow chart for the recognition methods of dissolved oxygen in the embodiment of the present invention, the identification of the dissolved oxygen Method includes the following steps:
Step S1: the dissolved oxygen content and ground black and odorous water sampled point for obtaining ground black and odorous water sampled point are each The water body reflectivity of a wave band.
Wherein, the dissolved oxygen content is the content of the molecular oxygen in the air being dissolved in water, and is usually denoted as DO, is used The milligram number of oxygen indicates in every liter of water.Oxygen in water number be measure water body self-purification ability an index.It is described to obtain The step of taking the dissolved oxygen of the black and odorous water of ground sampled point are as follows: by the water body of acquisition ground black and odorous water sampled point, then lead to It crosses chemical detection mode and obtains dissolved oxygen in black and odorous water.
Wherein, the water body reflectivity is water body to the reflected energy of sunlight and the ratio of projectile energy, and in difference The reflectivity of wave band water body is different.
Wherein, the black and odorous water of the sampled point is directly existing using ASD spectrometer in the water body reflectivity of each wave band Field measurement collects corresponding unmanned plane wave band by spectral response functions.Ground surface reflectance is the foundation of modeling, can basis The data on ground establish corresponding model, are directly used in multispectral image and generate dissolved oxygen concentration spatial distribution map.
Step S2: according to the ground black and odorous water sampled point in the water body reflectivity of each wave band, black and odorous water is obtained The water body reflectivity of sampled point each wave band in unmanned plane multispectral remote sensing photographic device.
Wherein, the black and odorous water obtained from ground each wave band water body reflectivity, and by multispectral in unmanned plane The black and odorous water in multi-spectral remote sensing image that remote sensing photographic device obtains is different in the water body reflectivity of each wave band, still, There are mapping relations for the two water body reflectivity, therefore, anti-in the water body of each wave band according to the black and odorous water of the sampled point Rate is penetrated, can get the water body reflectivity of black and odorous water each wave band in multi-spectral remote sensing image.
Wherein, unmanned plane multispectral remote sensing resolution of photographic device is high, and is protected from weather influences, and can be used for tiny river The identification of the water pollutions parameter such as TP.
Step S3: the dissolved oxygen content of the ground black and odorous water sampled point and the black and odorous water sampled point are existed The water body reflectivity of each wave band carries out correlation analysis in unmanned plane multispectral remote sensing photographic device, determines characterization dissolved oxygen The water body reflectivity of optimal bands combined;
Step S4: the dissolved oxygen content under the water body reflectivity of optimal bands combined is fitted, determines dissolved oxygen The relational model of the water body reflectivity of content and optimal bands combined;Wherein, the dissolved oxygen content and optimal bands combined The relationship of water body reflectivity meets: the content of dissolved oxygen linearly increases with the increase of the water body reflectivity of optimal bands combined It is long.
Step S5: the unmanned plane multispectral image in region to be measured is obtained, and determines black and odorous water image;
Step S6: according to the relational model and the black and odorous water image, the distribution of dissolved oxygen is determined.
By determining the dissolved oxygen of ground black and odorous water sampled point and the best wave of unmanned plane multispectral remote sensing photographic device The relational model of the water body reflectivity of Duan Zuhe, and then divided according to the space that the black and odorous water in region to be measured can be obtained dissolved oxygen Cloth, without chemical assay is carried out, is realized to the black smelly of extensive area without carrying out field survey to region to be measured The quick identification of the dissolved oxygen of water body.
In one embodiment, in step s 2, by by it is described according to the ground black and odorous water sampled point each The water body reflectivity of wave band carries out convolution algorithm mapping, obtains black and odorous water sampled point in unmanned plane multispectral remote sensing photographic device In each wave band water body reflectivity the step of, wherein the mode of convolution algorithm mapping are as follows:
In formula, λ indicates wavelength, and λ min is the start wavelength of unmanned plane multispectral remote sensing photographic device, and λ max is nobody The termination wavelength of machine multispectral remote sensing photographic device;R (λ) is the water body reflectivity that ground black and odorous water sampled point is λ in wavelength; F (λ) is spectral response functions;The water body reflectivity of R expression unmanned plane multispectral remote sensing photographic device.
In one embodiment, at the water body reflectivity of the optimal bands combined, the content of dissolved oxygen is more, preferably , the water body reflectivity of the optimal bands combined is the water body reflectivity at wave band 660nm and the water at wave band 735nm The difference of volume reflectivity.
In one embodiment, the table of the relational model of the water body reflectivity of the dissolved oxygen content and optimal bands combined Show mode are as follows: y=111.514x+6.1708, wherein x indicates that the water body reflectivity of optimal bands combined, y indicate that dissolved oxygen contains Amount;The water body reflectivity of the optimal bands combined is the water body reflectivity at wave band 660nm and the water at wave band 735nm The difference of volume reflectivity.
In one embodiment, the unmanned plane multispectral image for obtaining region to be measured, and determine black and odorous water image The step of, comprising:
Step S51: the unmanned plane multispectral image in region to be measured is obtained, wherein the multispectral image includes to be measured Several continuous unmanned plane multispectral images of region shooting.
In one embodiment, the unmanned plane multispectral image in the region to be measured is that UAV flight's multispectral remote sensing is taken the photograph Several the continuous multispectral images shot as device.
In one embodiment, inventor has found in carrying out innovation and creation of the invention, by using multispectral remote sensing Black and odorous water and other atural objects can be carried out more apparent area by the image that the green channel and red channel of photographic device obtain Point, therefore, for convenience of subsequent determining black and odorous water image, pass through the green channel and red channel of multispectral remote sensing photographic device Multispectral image of the image of acquisition as region to be measured.
Step S52: several continuous unmanned plane multispectral images are spliced, the global image in region to be measured is obtained.
Step S53: radiant correction is carried out to the global image, the global image after being corrected.
Step S54: being handled the global image after correction by sobel operator, obtains global gradient image.
Wherein, Sobel Operator (Sobel operator, referred to as " sobel operator ") is the upper of pixel each in image The gray value weighted difference in lower four field of left and right, in the global gradient image that edge can reach extreme value and obtain.
Step S55: using 8 field connected domain calculations to the global gradient image, by the global gradient image It is divided into multiple connected domains;
Step S56: counting the area of each connected domain by histogram method, obtains the connection area of each connected domain, if The connection area of connected domain is not up to preset connection area threshold, then the connected domain is determined as non-black and odorous water image; If connected domain area reaches preset connection area threshold, according to suspension bed sediment inversion method, the outstanding of the connected domain is calculated Floating sediment concentration;The connected domain is rejected if Suspended Sedimentation Concentration is greater than 100mg/L;Otherwise, the connected domain is determined as black Smelly water body image, wherein the calculation formula of the suspension bed sediment inversion method are as follows: y=2570x2-6531x+3748;Wherein x= Lg [R (660)]/lg [R (550)], R (660) indicate that central wavelength is the reflectivity of wave band at 660nm, and R (550) indicates center Wavelength is the reflectivity of wave band at 550nm;Y is concentration of suspension.Wherein, the central wavelength of sensor specific band, represents The reflectivity of one wave band, the application indicate a certain wave band with central wavelength.
In one embodiment, in step s 6, described according to the relational model and the black and odorous water image, it determines The step of distribution of dissolved oxygen are as follows: obtain black and odorous water image in the water body reflectivity of the optimal bands combined, further according to most The water body reflectivity of good band combination calculates the content of dissolved oxygen in black and odorous water.
In one embodiment, the dissolved oxygen in black and odorous water is effectively treated to realize, it is described according to the pass It is model and the black and odorous water image, further includes step S8 after the distribution for determining dissolved oxygen: is described according to the relationship mould Type and the black and odorous water image after the distribution for determining dissolved oxygen, further comprise the steps of: the intensive journey according to dissolution oxygen distribution Region division to be measured is that dissolved oxygen lacks area and the normal area of dissolved oxygen, and lacks area's setting aerator in dissolved oxygen and increase by degree Dissolved oxygen content.
The present invention also provides a kind of identification devices of dissolved oxygen, comprising:
Sample point data obtains module, and the dissolved oxygen content and ground for obtaining ground black and odorous water sampled point are black Water body reflectivity of the smelly water body sampled point in each wave band;
Water body reflectivity obtains module, reflects for the water body according to the ground black and odorous water sampled point in each wave band Rate obtains the water body reflectivity of black and odorous water sampled point each wave band in unmanned plane multispectral remote sensing photographic device;
Wave band determining module, for by the dissolved oxygen content of the ground black and odorous water sampled point and the black smelly water The water body reflectivity of sampler body point each wave band in unmanned plane multispectral remote sensing photographic device carries out correlation analysis, determines table Levy the water body reflectivity of the optimal bands combined of dissolved oxygen;
Relational model determining module, for intending the dissolved oxygen content under the water body reflectivity of optimal bands combined It closes, determines the relational model of the water body reflectivity of dissolved oxygen content and optimal bands combined;Wherein, the dissolved oxygen content with most The relationship of the water body reflectivity of good band combination meets: the content of dissolved oxygen with the water body reflectivity of optimal bands combined increasing Add linear growth;
Black and odorous water image collection module for obtaining the unmanned plane multispectral image in region to be measured, and determines black smelly water Body image;
Oxygen distribution determining module is dissolved, for determining dissolved oxygen according to the relational model and the black and odorous water image Distribution.
By determining the dissolved oxygen of ground black and odorous water sampled point and the best wave of unmanned plane multispectral remote sensing photographic device The relational model of the water body reflectivity of Duan Zuhe, and then divided according to the space that the black and odorous water in region to be measured can be obtained dissolved oxygen Cloth, without chemical assay is carried out, is realized to the black smelly of extensive area without carrying out field survey to region to be measured The quick identification of the dissolved oxygen of water body.
In one embodiment, the water body reflectivity obtains module, for by will be described black smelly according to the ground Water body sampled point carries out convolution algorithm mapping in the water body reflectivity of each wave band, and it is more in unmanned plane to obtain black and odorous water sampled point In spectral remote sensing photographic device the step of the water body reflectivity of each wave band, wherein the mode of the convolution algorithm mapping are as follows:
In formula, λ indicates wavelength, and λ min is the start wavelength of unmanned plane multispectral remote sensing photographic device, and λ max is nobody The termination wavelength of machine multispectral remote sensing photographic device;R (λ) is the water body reflectivity that ground black and odorous water sampled point is λ in wavelength; F (λ) is spectral response functions;The water body reflectivity of R expression unmanned plane multispectral remote sensing photographic device.
In one embodiment, in the water body reflectivity of the optimal bands combined, the content of dissolved oxygen is more, preferably , the water body reflectivity of the optimal bands combined is the water body reflectivity at wave band 660nm and the water at wave band 735nm The difference of volume reflectivity.
In one embodiment, the table of the relational model of the water body reflectivity of the dissolved oxygen content and optimal bands combined Show mode are as follows: y=111.514x+6.1708, wherein x indicates that the water body reflectivity of optimal bands combined, y indicate that dissolved oxygen contains Amount;The water body reflectivity of the optimal bands combined is the water body reflectivity at wave band 660nm and the water at wave band 735nm The difference of volume reflectivity.
In one embodiment, the black and odorous water image collection module includes:
Area image to be measured obtains module, for obtaining the unmanned plane multispectral image in region to be measured, wherein the mostly light Spectrum image includes several continuous unmanned plane multispectral images to region to be measured shooting.
Global image obtains module, for splicing several continuous unmanned plane multispectral images, obtains region to be measured Global image.
Correction module, for carrying out radiant correction to the global image, the global image after being corrected.
Global gradient image obtains module, for being handled by sobel operator the global image after correction, obtains Global gradient image.
Connected domain division module will be described complete for using 8 field connected domain calculations to the global gradient image Office's gradient image is divided into multiple connected domains;
Judgment module obtains the connected surface of each connected domain for counting the area of each connected domain by histogram method Product, if the connection area of connected domain is not up to preset connection area threshold, is determined as non-black and odorous water for the connected domain Image;If connected domain area reaches preset connection area threshold, according to suspension bed sediment inversion method, the connected domain is calculated Suspended Sedimentation Concentration;The connected domain is rejected if Suspended Sedimentation Concentration is greater than 100mg/L;Otherwise, the connected domain is determined For black and odorous water image, wherein the calculation formula of the suspension bed sediment inversion method are as follows: y=2570x2-6531x+3748;Its Middle x=lg [R (660)]/lg [R (550)], R (660) indicate that central wavelength is the reflectivity of wave band at 660nm, and R (550) is indicated Central wavelength is the reflectivity of wave band at 550nm;Y is concentration of suspension.Wherein, the central wavelength of sensor specific band, generation The table reflectivity of one wave band, the application indicate a certain wave band with central wavelength.
In one embodiment, the dissolved oxygen in black and odorous water is effectively treated to realize, it is described according to the pass It is model and the black and odorous water image, further includes step S8 after the distribution for determining dissolved oxygen: is described according to the relationship mould Type and the black and odorous water image after the distribution for determining dissolved oxygen, further comprise the steps of: the intensive journey according to dissolution oxygen distribution Region division to be measured is that dissolved oxygen lacks area and the normal area of dissolved oxygen, and lacks area's setting aerator in dissolved oxygen and increase by degree Dissolved oxygen content.
The present invention also provides a kind of computer readable storage mediums, store computer program thereon, the computer program It is realized when being executed by processor as described in any of the above-described the step of the recognition methods of dissolved oxygen.
The present invention also provides a kind of computer equipment, including reservoir, processor and it is stored in the reservoir simultaneously The computer program that can be executed by the processor, the processor are realized when executing the computer program such as any of the above-described institute The step of stating the recognition methods of dissolved oxygen.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection of the invention Range.

Claims (10)

1. a kind of recognition methods of dissolved oxygen, which comprises the steps of:
Water body of the dissolved oxygen content and ground black and odorous water sampled point of acquisition ground black and odorous water sampled point in each wave band Reflectivity;
According to the ground black and odorous water sampled point in the water body reflectivity of each wave band, black and odorous water sampled point is obtained at nobody The water body reflectivity of each wave band in machine multispectral remote sensing photographic device;
The dissolved oxygen content of the ground black and odorous water sampled point and the black and odorous water sampled point is multispectral in unmanned plane The water body reflectivity of each wave band carries out correlation analysis in remote sensing photographic device, determines the optimal bands combined of characterization dissolved oxygen Water body reflectivity;
The dissolved oxygen content of water body reflectivity in optimal bands combined is fitted, determines dissolved oxygen content and best band The relational model of combined water body reflectivity;Wherein, the pass of the water body reflectivity of the dissolved oxygen content and optimal bands combined System meets: the content of dissolved oxygen linearly increases with the increase of the water body reflectivity of optimal bands combined;
The unmanned plane multispectral image in region to be measured is obtained, and determines black and odorous water image;
According to the relational model and the black and odorous water image, the distribution of dissolved oxygen is determined.
2. the recognition methods of dissolved oxygen according to claim 1, which is characterized in that by will be described black according to the ground Smelly water body sampled point carries out convolution algorithm mapping in the water body reflectivity of each wave band, obtains black and odorous water sampled point in unmanned plane The water body reflectivity of each wave band in multispectral remote sensing photographic device, wherein the mode of the convolution algorithm mapping are as follows:
In formula, λ indicates wavelength, and λ min is the start wavelength of unmanned plane multispectral remote sensing photographic device, and λ max is that unmanned plane is more The termination wavelength of spectral remote sensing photographic device;R (λ) is the water body reflectivity that ground black and odorous water sampled point is λ in wavelength;f(λ) For spectral response functions;The water body reflectivity of R expression unmanned plane multispectral remote sensing photographic device.
3. the recognition methods of dissolved oxygen according to claim 1, which is characterized in that the dissolved oxygen content and best band The representation of the relational model of combined water body reflectivity are as follows: y=111.514x+6.1708, wherein x indicates best band Combined water body reflectivity, y indicate dissolved oxygen content;The water body reflectivity of the optimal bands combined is at wave band 660nm Water body reflectivity and water body reflectivity at wave band 735nm difference.
4. the recognition methods of dissolved oxygen according to claim 1, which is characterized in that the unmanned plane for obtaining region to be measured Multispectral image, and the step of determining black and odorous water image, comprising:
Obtain the unmanned plane multispectral image in region to be measured;Wherein, the unmanned plane multispectral image includes clapping region to be measured Several the continuous unmanned plane multispectral images taken the photograph;
Several continuous unmanned plane multispectral images are spliced, the global image in region to be measured is obtained;
Radiant correction is carried out to the global image, the global image after being corrected;
The global image after correction is handled by sobel operator, obtains global gradient image;
8 field connected domain calculations are used to the global gradient image, the global gradient image is divided into multiple companies Logical domain;
The area that each connected domain is counted by histogram method obtains the connection area of each connected domain, if the connection of connected domain Area is not up to preset connection area threshold, then the connected domain is determined as non-black and odorous water image;
If connected domain area reaches preset connection area threshold, according to suspension bed sediment inversion method, the connected domain is calculated Suspended Sedimentation Concentration;The connected domain is rejected if Suspended Sedimentation Concentration is greater than 100mg/L;Otherwise, the connected domain is determined For black and odorous water image, wherein the calculation formula of the suspension bed sediment inversion method are as follows: y=2570x2-6531x+3748;Its Middle x=lg [R (660)]/lg [R (550)], R (660) indicate that central wavelength is the reflectivity of wave band at 660nm, and R (550) is indicated Central wavelength is the reflectivity of wave band at 550nm;Y is concentration of suspension.
5. the recognition methods of dissolved oxygen according to claim 1, which is characterized in that the unmanned plane mostly light in the region to be measured Compose image are as follows: several the continuous multispectral images obtained by UAV flight's multispectral remote sensing photographic device.
6. the recognition methods of dissolved oxygen according to claim 1, which is characterized in that the unmanned plane mostly light in the region to be measured Spectrum image is the image of the green channel and red channel that are obtained by UAV flight's multispectral remote sensing photographic device.
7. the recognition methods of dissolved oxygen according to claim 1, which is characterized in that described according to the relational model and institute Black and odorous water image is stated, after the distribution for determining dissolved oxygen, further comprises the steps of: the concentration according to dissolution oxygen distribution, it will be to Surveying region division is that dissolved oxygen lacks area and the normal area of dissolved oxygen, and lacks area's setting aerator increase dissolved oxygen in dissolved oxygen and contain Amount.
8. a kind of identification device of dissolved oxygen characterized by comprising
Sample point data obtains module, the black smelly water of dissolved oxygen content and ground for obtaining ground black and odorous water sampled point Water body reflectivity of the sampler body point in each wave band;
Water body reflectivity obtain module, for according to the ground black and odorous water sampled point each wave band water body reflectivity, Obtain the water body reflectivity of black and odorous water sampled point each wave band in unmanned plane multispectral remote sensing photographic device;
Wave band determining module, for adopting the dissolved oxygen content of the ground black and odorous water sampled point and the black and odorous water The water body reflectivity of sampling point each wave band in unmanned plane multispectral remote sensing photographic device carries out correlation analysis, determines that characterization is molten Solve the water body reflectivity of the optimal bands combined of oxygen;
Relational model determining module, for the dissolved oxygen content under the water body reflectivity of optimal bands combined to be fitted, Determine the relational model of the water body reflectivity of dissolved oxygen content and optimal bands combined;Wherein, the dissolved oxygen content and best The relationship of the water body reflectivity of band combination meets: the concentration of dissolved oxygen with the water body reflectivity of optimal bands combined increase It is linear to increase;
Black and odorous water image collection module for obtaining the unmanned plane multispectral image in region to be measured, and determines black and odorous water figure Picture;
Oxygen distribution determining module is dissolved, for determining point of dissolved oxygen according to the relational model and the black and odorous water image Cloth.
9. a kind of computer readable storage medium, stores computer program thereon, which is characterized in that the computer program is located It manages and is realized when device executes as described in any one of claim 1 to 7 the step of the recognition methods of dissolved oxygen.
10. a kind of computer equipment, which is characterized in that including reservoir, processor and be stored in the reservoir and can The computer program executed by the processor, the processor realize such as claim 1 to 7 when executing the computer program Any one of described in dissolved oxygen recognition methods the step of.
CN201811197880.0A 2018-10-15 2018-10-15 A kind of recognition methods of dissolved oxygen, device, storage medium and equipment Pending CN109269993A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811197880.0A CN109269993A (en) 2018-10-15 2018-10-15 A kind of recognition methods of dissolved oxygen, device, storage medium and equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811197880.0A CN109269993A (en) 2018-10-15 2018-10-15 A kind of recognition methods of dissolved oxygen, device, storage medium and equipment

Publications (1)

Publication Number Publication Date
CN109269993A true CN109269993A (en) 2019-01-25

Family

ID=65196177

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811197880.0A Pending CN109269993A (en) 2018-10-15 2018-10-15 A kind of recognition methods of dissolved oxygen, device, storage medium and equipment

Country Status (1)

Country Link
CN (1) CN109269993A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115035112A (en) * 2022-08-11 2022-09-09 宿迁市万尚新材料科技股份有限公司 Preparation process control method of environment-friendly electrochemical aluminum laser colorant
CN115100215A (en) * 2022-08-29 2022-09-23 南通市赛孚环保科技有限公司 Method and system for predicting dissolved oxygen content in sewage treatment process

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006134329A2 (en) * 2005-06-13 2006-12-21 Wireless Fibre Systems Ltd Underwater remote sensing
CN105300864A (en) * 2015-12-07 2016-02-03 广州地理研究所 Quantitative remote sensing method of suspended sediment
CN105488488A (en) * 2015-12-10 2016-04-13 中国科学院遥感与数字地球研究所 Remote sensing recognition method and apparatus for black and odorous water body in city
CN106442420A (en) * 2016-09-21 2017-02-22 河海大学 Qualitative and quantitative combination water quality monitoring method
CN106918559A (en) * 2017-05-04 2017-07-04 环境保护部卫星环境应用中心 A kind of method and device for detecting Water quality
CN108333148A (en) * 2018-01-11 2018-07-27 中国科学院遥感与数字地球研究所 A kind of recognition methods of black and odorous water and device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006134329A2 (en) * 2005-06-13 2006-12-21 Wireless Fibre Systems Ltd Underwater remote sensing
CN105300864A (en) * 2015-12-07 2016-02-03 广州地理研究所 Quantitative remote sensing method of suspended sediment
CN105488488A (en) * 2015-12-10 2016-04-13 中国科学院遥感与数字地球研究所 Remote sensing recognition method and apparatus for black and odorous water body in city
CN106442420A (en) * 2016-09-21 2017-02-22 河海大学 Qualitative and quantitative combination water quality monitoring method
CN106918559A (en) * 2017-05-04 2017-07-04 环境保护部卫星环境应用中心 A kind of method and device for detecting Water quality
CN108333148A (en) * 2018-01-11 2018-07-27 中国科学院遥感与数字地球研究所 A kind of recognition methods of black and odorous water and device

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
杨骥: "《黑臭水体遥感检测技术及应用》", 31 July 2018, 中国水利水电出版社 *
贾永红: "《数字图像处理》", 1 October 2003, 武汉大学出版社 *
陈燕: "渤海湾近岸海域悬浮泥沙浓度遥感反演模型研究", 《中国优秀硕士学位论文全文数据库 基础科学辑》 *
韩宝平: "《矿区环境污染与防治》", 30 June 2008, 中国矿业大学出版社 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115035112A (en) * 2022-08-11 2022-09-09 宿迁市万尚新材料科技股份有限公司 Preparation process control method of environment-friendly electrochemical aluminum laser colorant
CN115100215A (en) * 2022-08-29 2022-09-23 南通市赛孚环保科技有限公司 Method and system for predicting dissolved oxygen content in sewage treatment process

Similar Documents

Publication Publication Date Title
Gavazzi et al. Evaluation of seabed mapping methods for fine-scale classification of extremely shallow benthic habitats–application to the Venice Lagoon, Italy
Dierssen et al. Ocean color remote sensing of seagrass and bathymetry in the Bahamas Banks by high‐resolution airborne imagery
Lacharité et al. Multisource multibeam backscatter data: Developing a strategy for the production of benthic habitat maps using semi-automated seafloor classification methods
Malambo et al. Automated detection and measurement of individual sorghum panicles using density-based clustering of terrestrial lidar data
Vastaranta et al. Airborne laser scanning and digital stereo imagery measures of forest structure: Comparative results and implications to forest mapping and inventory update
Mazur et al. An object-based SAR image iceberg detection algorithm applied to the Amundsen Sea
Purkis et al. Integrating in situ reef-top reflectance spectra with Landsat TM imagery to aid shallow-tropical benthic habitat mapping
KR102450019B1 (en) Water Quality Monitoring Method and System for Using Unmanned Aerial Vehicle
US20130064420A1 (en) Automated system and method for optical cloud shadow detection over water
CN109269988A (en) A kind of recognition methods of ammonia nitrogen, device, storage medium and equipment
Qing et al. Improving remote sensing retrieval of water clarity in complex coastal and inland waters with modified absorption estimation and optical water classification using Sentinel-2 MSI
Vahtmäe et al. Airborne mapping of shallow water bathymetry in the optically complex waters of the Baltic Sea
CN109269989A (en) A kind of recognition methods of dissolved oxygen, device, storage medium and equipment
CN109269990A (en) A kind of recognition methods of total phosphorus, device, storage medium and equipment
Collin et al. Benthic classifications using bathymetric LIDAR waveforms and integration of local spatial statistics and textural features
CN109269993A (en) A kind of recognition methods of dissolved oxygen, device, storage medium and equipment
Millan et al. Vineyard pruning weight assessment by machine vision: towards an on-the-go measurement system: This article is published in cooperation with the 21th GIESCO International Meeting, June 23-28 2019, Thessaloniki, Greece. Guests editors: Stefanos Koundouras and Laurent Torregrosa
CN113176211A (en) Day cloud detection method based on HSV color space model transformation
Darke et al. Measurement of beach surface moisture using surface brightness
CN109269994A (en) A kind of recognition methods of COD, device, storage medium and equipment
Legleiter et al. An introduction to the physical basis for deriving river information by optical remote sensing
Liu et al. High-frequency optical measurements in shallow Lake Taihu, China: Determining the relationships between hydrodynamic processes and inherent optical properties
CN114386828A (en) Sea island landscape three-dimensional index construction method
Martinez-Sanchez et al. Skyline variations allow estimating distance to trees on landscape photos using semantic segmentation
Pu et al. Developing hyperspectral vegetation indices for identifying seagrass species and cover classes

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190125