CN109596616A - A kind of soil salt monitoring method, system and equipment - Google Patents
A kind of soil salt monitoring method, system and equipment Download PDFInfo
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Abstract
This application discloses a kind of soil salt monitoring method, system and equipment, the second remote sensing estimation model for carrying out remote-sensing inversion is obtained according to the first remote sensing estimation model, first image is imported into second remote sensing estimation model and carries out remote sensing image the second image of acquisition, first image is pretreated soil remote sensing image, second image is the pretreated soil remote sensing image by the soil remote sensing image after second remote sensing estimation model, second image is shown according to salinity designatorization, and second image shows salt distribution；Soil salt monitoring is carried out according to second image.Determine optimal remote sensing estimation model, then pretreated soil remote sensing image is imported into remote sensing estimation model, it is final to obtain the image for being identified with salinity designatorization display and distribution, and then soil salt content multiple spot and area distribution monitoring may be implemented, it solves the problems, such as to be limited only to a monitoring in the prior art.
Description
Technical field
This application involves soil salt monitoring technical fields, and in particular to a kind of soil salt monitoring method, system and sets
It is standby.
Background technique
The soil salinization is also known as " salinization of soil " abbreviation " salt marsh (alkali) change ", refers to the salinity of soil bottom or underground water
Rising to earth's surface after moisture evaporation with capillary makes process of the salt accumulation in topsoil.The soil salinization is most common
One of land deterioration process, be the serious problems that many countries face.
With the development of economic society and mankind's activity, the exploitation of Resource of Saline Soil is concerned, and improvement salinized soil can have
Effect solves the current insufficient contradiction of land supply, improves soil environment.In recent years, salinized soil quantitative remote sensing is studied much
And make remarkable progress, constructed salinized soil quantitative remote sensing a series of estimation and inverse model achieves a large amount of achievement.
Quantitative Monitoring method in traditional technology about salinized soil is the soil salt estimation mould based on ground spectrum mostly
Type, but this method is limited only to the salinity analysis to point scale, can not achieve the salinity monitoring to regional scale.
Apply for content
In order to solve the above-mentioned technical problem the application provides, the application is achieved by the following technical solution:
In a first aspect, the embodiment of the present application provides a kind of soil salt monitoring method, it is based on remote sensing image inverting, it is described
Method includes: that the second remote sensing estimation model for carrying out remote-sensing inversion is obtained according to the first remote sensing estimation model, first remote sensing
Inverse model is any standard remote sensing estimation model, and second remote sensing estimation model is according to first remote sensing estimation model
It carries out parameter modification or model deletes the remote sensing estimation model obtained；By the first image import second remote sensing estimation model into
Row remote sensing image obtains the second image, and first image is pretreated soil remote sensing image, and second image is described
Pretreated soil remote sensing image passes through the soil remote sensing image after second remote sensing estimation model, the second image root
It is shown according to salinity designatorization, and second image shows salt distribution；Soil salt is carried out according to second image
Monitoring.
Using above-mentioned implementation, optimal remote sensing estimation model is determined, then lead pretreated soil remote sensing image
Enter into remote sensing estimation model, it is final to obtain the image for being identified with the display of salinity designatorization, and then soil salt may be implemented
Divide content multiple spot and area distribution monitoring, solves the problems, such as to be limited only to a monitoring in the prior art.
With reference to first aspect, in a first possible implementation of that first aspect, described according to the first remote-sensing inversion mould
It includes: to obtain all standard remote-sensing inversion moulds for being used for remote-sensing inversion that type, which obtains and carries out the second remote sensing estimation model of remote-sensing inversion,
Type；The parameter of the standard remote sensing estimation model is modified according to the requirement of remote-sensing inversion or deletes part of standards remote-sensing inversion mould
Type.
The first possible implementation with reference to first aspect, in a second possible implementation of that first aspect, institute
Stating the first image importing the second remote sensing estimation model progress remote sensing image second image of acquisition includes: by first shadow
Picture and corresponding wave band import second remote sensing estimation model；It is calculated according to second remote sensing estimation model and the wave band
Out in first image each pixel salt score value；First image is handled according to the salt score value of each pixel,
It include: to carry out the display of salinity designatorization in first image according to soil salt grade, and it will be after visualization
Image output.
Second of possible implementation with reference to first aspect, in first aspect in the third possible implementation, institute
Stating and carrying out soil salt monitoring according to second image includes: the position that selection needs to detect soil salt；According to selection
Realize the monitoring to soil salt in position, comprising: single-point monitoring, multiple spot monitoring and the area monitoring of soil salt.
Second aspect, the embodiment of the present application provides a kind of soil salt monitoring system, is based on remote sensing image inverting, described
System includes: acquisition module, for obtaining the second remote sensing estimation model for carrying out remote-sensing inversion according to the first remote sensing estimation model,
First remote sensing estimation model is any standard remote sensing estimation model, and second remote sensing estimation model is according to described first
Remote sensing estimation model carries out parameter modification or model deletes the remote sensing estimation model obtained；Remote-sensing inversion module is used for first
Image imports second remote sensing estimation model and carries out remote sensing image the second image of acquisition, and first image is pretreated soil
Earth remote sensing image, second image are the pretreated soil remote sensing image by after second remote sensing estimation model
Soil remote sensing image, second image according to salinity designatorization show, and second image show salt distribution；
Salinity monitoring modular, for carrying out soil salt monitoring according to second image.
With reference to first aspect, in a first possible implementation of that first aspect, the acquisition module includes: that model obtains
Unit is taken, all standard remote sensing estimation models for being used for remote-sensing inversion are obtained；Model treatment unit, according to the requirement of remote-sensing inversion
It modifies the parameter of the standard remote sensing estimation model or deletes part of standards remote sensing estimation model.
The first possible implementation with reference to first aspect, in a second possible implementation of that first aspect, institute
Stating remote-sensing inversion module includes: import unit, anti-for first image and corresponding wave band to be imported second remote sensing
Drill model；Inverting unit, it is every in first image for being calculated according to second remote sensing estimation model and the wave band
The salt score value of a pixel；Image process unit is wrapped for being handled according to the salt score value of each pixel first image
It includes: carrying out the display of salinity designatorization in first image according to soil salt grade, and will be after visualization
Image output.
Second of possible implementation with reference to first aspect, in first aspect in the third possible implementation, institute
Stating salinity monitoring modular includes: selecting unit, for selecting to need to detect the position of soil salt；Salinity monitoring unit, is used for
The monitoring to soil salt is realized according to the position of selection, comprising: single-point monitoring, multiple spot monitoring and the region prison of soil salt
It surveys.
The third aspect, the embodiment of the present application provide a kind of soil salt monitoring device, comprising: processor；Memory is used
In storage computer executable instructions；When the processor executes the computer executable instructions, the processor is executed
Such as above-mentioned first aspect and the soil salt monitoring method of any implementation of first aspect, obtained according to the first remote sensing estimation model
The second remote sensing estimation model for carrying out remote-sensing inversion is taken, the first image is imported into second remote sensing estimation model and carries out remote sensing shadow
As obtaining the second image, first image is pretreated soil remote sensing image, and second image is described pretreated
Soil remote sensing image passes through the soil remote sensing image after second remote sensing estimation model, and second image is according to salinity etc.
Grade visualization, and second image shows salt distribution；Soil salt monitoring is carried out according to second image.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of soil salt monitoring method provided by the embodiments of the present application；
Fig. 2 is the structural schematic diagram that a kind of soil salt provided by the embodiments of the present application monitors system；
Fig. 3 is a kind of structural schematic diagram of soil salt monitoring device provided by the embodiments of the present application.
Specific embodiment
For that can understand the technical solution for illustrating this programme, this programme is explained with specific embodiment with reference to the accompanying drawing
It states.
Fig. 1 is a kind of flow diagram of soil salt monitoring method provided by the embodiments of the present application, described referring to Fig. 1
Soil salt monitoring method includes:
S101 obtains the second remote sensing estimation model for carrying out remote-sensing inversion according to the first remote sensing estimation model.
First remote sensing estimation model is any standard remote sensing estimation model, according to second remote sensing estimation model
First remote sensing estimation model carries out parameter modification or model deletes the remote sensing estimation model obtained.Specifically, the present embodiment
It is middle to obtain all standard remote sensing estimation models for being used for remote-sensing inversion, it is anti-that the standard remote sensing is modified according to the requirement of remote-sensing inversion
It drills the parameter of model or deletes part of standards remote sensing estimation model.
One illustrative examples selects remote sensing estimation model (y=a-bx1-cx2) as the model for participating in remote-sensing inversion
Or 3 parameters of modification model can also be used as the inverting that remote sensing estimation model participates in salinity as needed.
Preferably, using multiple linear regression model as remote sensing estimation model, multiple linear regression model is research
One variable (Y) and multiple variable (X1, X2... ..., Xk) between quantitative relationship method, regression model are as follows: Y=β0+β1X1
+……+βKXK+ε。
Wherein β is fixed unknown parameter, referred to as regression coefficient；ε is mean value 0, variance σ2The random error of (σ > 0),
Represent the influence that other enchancement factors generate dependent variable Y.In conjunction with the principle of multiple linear regression model and the reality of this method
Demand obtains remote sensing estimation model, model modification will be carried out based on the inverse model, model deletes the realization of function.
First image is imported second remote sensing estimation model and carries out remote sensing image the second image of acquisition by S102.
First image is the Landsat8 remote sensing image pre-processed, and second image is the pretreated soil
Earth remote sensing image passes through the soil remote sensing image after second remote sensing estimation model, and pixel value is soil salt content, institute
It states the second image to be shown according to salinity designatorization, and second image shows salt distribution.
First image and corresponding wave band are imported into second remote sensing estimation model；It is anti-according to second remote sensing
It drills model and the wave band calculates the salt score value of each pixel in first image.According to the salt score value of each pixel to institute
It states the first image to be handled, comprising: it is aobvious to carry out salinity designatorization in first image according to soil salt grade
Show, and by the image output after visualization.
The second remote sensing estimation model for loading the remote sensing image pre-processed and setting parameter selects image after inverting
Then the position of storage carries out inverting and requires symbolism classification display according to soil salt is graduate to the later image of inverting
It is final to save result.
In the present embodiment, salinity inverting is counted i.e. based on the remote sensing image pre-processed using remote sensing estimation model
Calculation obtains salt score value.Firstly, research area Landsat8 remote sensing image is precisely corrected reflectivity and is asked by radiation calibration, geometry
Calculation, noise processed, image enhancement and etc. complete pretreatment, by image introduction method after pre-process, first to image progress
Then wave band and remote sensing estimation model are carried out operation and calculate each pixel value, that is, salt score value by the reading of wave band, anti-by what is obtained
It drills image to fall into 5 types in total according to the graduate requirement progress symbolism classification display of soil salt: non-salty-soil, slight salt marsh
Soil, moderate salinized soil, severe salinized soil, solonchak, are made Distribution of soil salinity figure and carry out output preservation.
S103 carries out soil salt monitoring according to second image.
Selection needs to detect the position of soil, realizes the monitoring to soil salt according to the position of selection, comprising: soil salt
Single-point monitoring, multiple spot monitoring and the area monitoring divided.
In the present embodiment, the later image loaded and displayed of inverting is clicked inverting using salinity monitoring function by salinity monitoring
The ranks number of the position in the picture are searched in any position of later image in inverted image, then according to ranks number, so that it may
To obtain the salt score value of selection position.It can not only realize the observation to single monitoring point salt score value but also be able to achieve to big model
Inner salt score value is enclosed to monitor in real time.
As can be seen from the above embodiments, a kind of soil salt monitoring method provided in this embodiment is based on remote sensing image inverting,
The second remote sensing estimation model for carrying out remote-sensing inversion is obtained according to the first remote sensing estimation model, first remote sensing estimation model is
Any standard remote sensing estimation model, second remote sensing estimation model are to carry out parameter according to first remote sensing estimation model to repair
Change or model deletes the remote sensing estimation model obtained；First image is imported into second remote sensing estimation model and carries out remote sensing image
The second image is obtained, first image is the Landsat8 remote sensing image pre-processed, and second image is the pre- place
The soil remote sensing image of reason passes through the soil remote sensing image after second remote sensing estimation model, and pixel value contains for soil salt
Amount, second image are shown according to salinity designatorization, and second image shows salt distribution；According to described second
Image carries out soil salt monitoring.It determines optimal remote sensing estimation model, then imported into pretreated soil remote sensing image
It is final to obtain the image for being identified with salinity designatorization display and distribution in remote sensing estimation model, and then soil may be implemented
The monitoring of multiple spot and area distribution solves the problems, such as to be limited only to a monitoring in the prior art.
Corresponding with soil salt monitoring method provided by the above embodiment, the embodiment of the present application also provides a kind of soil
Salinity monitors system, and referring to fig. 2, the soil salt monitoring system 20 includes: to obtain module 201,202 and of remote-sensing inversion module
Salinity monitoring modular 203.
Module 201 is obtained, for obtaining the second remote-sensing inversion mould for carrying out remote-sensing inversion according to the first remote sensing estimation model
Type, first remote sensing estimation model are any standard remote sensing estimation model, and second remote sensing estimation model is according to
First remote sensing estimation model carries out parameter modification or model deletes the remote sensing estimation model obtained.Remote-sensing inversion module 202, is used for
First image is imported into second remote sensing estimation model and carries out remote sensing image the second image of acquisition, first image is pre- place
The soil remote sensing image of reason, second image are that the pretreated soil remote sensing image passes through the second remote-sensing inversion mould
Soil remote sensing image after type, second image are shown according to salinity designatorization, and second image shows salt
Distribution.Salinity monitoring modular 203, for carrying out soil salt monitoring according to second image.
One illustrative examples, the acquisition module 201 includes: model acquiring unit and model treatment unit.Wherein,
The model acquiring unit obtains all standard remote sensing estimation models for being used for remote-sensing inversion.The model treatment unit, according to
The requirement of remote-sensing inversion modifies the parameter of the standard remote sensing estimation model or deletes part of standards remote sensing estimation model.
Remote-sensing inversion module 202 includes: import unit, inverting unit and image process unit.
The import unit, for first image and corresponding wave band to be imported second remote sensing estimation model.
Inverting unit, for calculating each pixel in first image according to second remote sensing estimation model and the wave band
Salt score value.Image process unit, for being handled according to the salt score value of each pixel first image, comprising: according to
Soil salt grade carries out the display of salinity designatorization in first image, and the image after visualization is defeated
Out.
Salinity monitoring modular 203 includes: selecting unit and salinity monitoring unit.
The selecting unit, for selecting to need to detect the position of soil.The salinity monitoring unit, for according to selection
Position realize monitoring to soil salt, comprising: single-point monitoring, multiple spot monitoring and the area monitoring of soil salt.
The present embodiment additionally provides a kind of soil salt monitoring device, as shown in figure 3, the soil salt monitoring device 30
It include: processor 301, memory 302 and communication interface 303.
In Fig. 3, processor 301, memory 302 and communication interface 303 can be connected with each other by bus；Bus can be with
It is divided into address bus, data/address bus, control bus etc..Only to be indicated with a thick line in Fig. 3 convenient for indicating, it is not intended that
Only a bus or a type of bus.
Processor 301 be usually controlling terminal 30 allomeric function, such as soil salt monitoring device 30 starting and
Soil salt monitoring device 30 is monitored soil salt after starting.In addition, processor 301 can be general processor,
For example, central processing unit (English: central processing unit, abbreviation: CPU), network processing unit (English:
Network processor, abbreviation: NP) or CPU and NP combination.Processor is also possible to microprocessor (MCU).Processing
Device can also include hardware chip.Above-mentioned hardware chip can be specific integrated circuit (ASIC), programmable logic device (PLD)
Or combinations thereof.Above-mentioned PLD can be Complex Programmable Logic Devices (CPLD), field programmable gate array (FPGA) etc..
Memory 302 is configured as storage computer executable instructions to support the operation of 30 data of terminal.Memory 301
It can be realized by any kind of volatibility or non-volatile memory device or their combination, such as static random access memory
Device (SRAM), electrically erasable programmable read-only memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM) can be compiled
Journey read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, disk or CD.
After starting soil salt monitoring device 30, processor 301 and memory 302 are powered on, and processor 301 reads and executes
The computer executable instructions being stored in memory 302 are complete in above-mentioned soil salt monitoring method embodiment to complete
Portion or part steps.
Communication interface 303 transmits data for soil salt monitoring device 30, such as realizes and soil image capture device
Between data communication.Communication interface 303 includes wired communication interface, can also include wireless communication interface.Wherein, cable modem
Believe that interface includes USB interface, Micro USB interface, can also include Ethernet interface.Wireless communication interface can connect for WLAN
Mouthful, cellular network communication interface or combinations thereof etc..
In one exemplary embodiment, soil salt monitoring device 30 provided by the embodiments of the present application further includes power supply group
Part, power supply module provide electric power for the various assemblies of soil salt monitoring device 30.Power supply module may include power management system
System, one or more power supplys and other with for soil salt monitoring device 30 generate, manage, and distribute associated group of electric power
Part.
Communication component, communication component are configured to facilitate wired between soil salt monitoring device 30 and other equipment or nothing
The communication of line mode.Soil salt monitoring device 30 can access the wireless network based on communication standard, such as WiFi, 2G or 3G,
Or their combination.Communication component receives broadcast singal or broadcast correlation from external broadcasting management system via broadcast channel
Information.Communication component further includes near-field communication (NFC) module, to promote short range communication.For example, radio frequency can be based in NFC module
(RFID) technology of identification, Infrared Data Association (IrDA) technology, ultra wide band (UWB) technology, bluetooth (BT) technology and other technologies
To realize.
In one exemplary embodiment, soil salt monitoring device 30 can be by the dedicated integrated electricity of one or more application
Road (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), scene
Programmable gate array (FPGA), controller, microcontroller, processor or other electronic components are realized.
The same or similar parts between the embodiments can be referred to each other in present specification.Especially for system
And for apparatus embodiments, since method therein is substantially similar to the embodiment of method, so be described relatively simple, it is related
Place is referring to the explanation in embodiment of the method.
It should be noted that, in this document, the relational terms of such as " first " and " second " or the like are used merely to one
A entity or operation with another entity or operate distinguish, without necessarily requiring or implying these entities or operation it
Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant are intended to
Cover non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or setting
Standby intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in the process, method, article or apparatus that includes the element.
Certainly, above description is also not limited to the example above, technical characteristic of the application without description can by or
It is realized using the prior art, details are not described herein；The technical solution that above embodiments and attached drawing are merely to illustrate the application is not
It is the limitation to the application, Tathagata substitutes, and the application is described in detail only in conjunction with and referring to preferred embodiment, ability
Domain it is to be appreciated by one skilled in the art that those skilled in the art were made in the essential scope of the application
Variations, modifications, additions or substitutions also should belong to claims hereof protection scope without departure from the objective of the application.
Claims (9)
1. a kind of soil salt monitoring method is based on remote sensing image inverting, which is characterized in that the described method includes:
The second remote sensing estimation model for carrying out remote-sensing inversion, the first remote-sensing inversion mould are obtained according to the first remote sensing estimation model
Type is any standard remote sensing estimation model, and second remote sensing estimation model is to be joined according to first remote sensing estimation model
Number modification or model delete the remote sensing estimation model obtained；
First image is imported into second remote sensing estimation model and carries out remote sensing image the second image of acquisition, first image is
Pretreated soil remote sensing image, second image are that the pretreated soil remote sensing image is anti-by second remote sensing
The soil remote sensing image after model is drilled, second image is shown according to salinity designatorization, and second image is aobvious
Show salt distribution；
Soil salt monitoring is carried out according to second image.
2. the method according to claim 1, wherein described obtained according to the first remote sensing estimation model carries out remote sensing
Second remote sensing estimation model of inverting includes:
Obtain all standard remote sensing estimation models for being used for remote-sensing inversion；
The parameter of the standard remote sensing estimation model is modified according to the requirement of remote-sensing inversion or deletes part of standards remote-sensing inversion
Model.
3. according to the method described in claim 2, it is characterized in that, described import the second remote-sensing inversion mould for the first image
Type carries out remote sensing image the second image of acquisition
First image and corresponding wave band are imported into second remote sensing estimation model；
The salt score value of each pixel in first image is calculated according to second remote sensing estimation model and the wave band；
First image is handled according to the salt score value of each pixel, comprising: according to soil salt grade described
The display of salinity designatorization is carried out in one image, and by the image output after visualization.
4. according to the method described in claim 3, it is characterized in that, described carry out soil salt monitoring according to second image
Include:
Selection needs to detect the position of soil；
The monitoring to soil salt is realized according to the position of selection, comprising: single-point monitoring, multiple spot monitoring and the region of soil salt
Monitoring.
5. a kind of soil salt monitors system, it is based on remote sensing image inverting, which is characterized in that the system comprises:
Module is obtained, it is described for obtaining the second remote sensing estimation model for carrying out remote-sensing inversion according to the first remote sensing estimation model
First remote sensing estimation model is any standard remote sensing estimation model, and second remote sensing estimation model is according to first remote sensing
Inverse model carries out parameter modification or model deletes the remote sensing estimation model obtained；
Remote-sensing inversion module carries out remote sensing image the second shadow of acquisition for the first image to be imported second remote sensing estimation model
Picture, first image are pretreated soil remote sensing image, and second image is the pretreated soil remote sensing image
By the soil remote sensing image after second remote sensing estimation model, second image is aobvious according to salinity designatorization
Show, and second image shows salt distribution；
Salinity monitoring modular, for carrying out soil salt monitoring according to second image.
6. system according to claim 5, which is characterized in that the acquisition module includes:
Model acquiring unit obtains all standard remote sensing estimation models for being used for remote-sensing inversion；
Model treatment unit modifies the parameter of the standard remote sensing estimation model according to the requirement of remote-sensing inversion or deletes part
Standard remote sensing estimation model.
7. system according to claim 6, which is characterized in that the remote-sensing inversion module includes:
Import unit, for first image and corresponding wave band to be imported second remote sensing estimation model；
Inverting unit, for calculating each picture in first image according to second remote sensing estimation model and the wave band
The salt score value of member；
Image process unit, for being handled according to the salt score value of each pixel first image, comprising: according to soil
Salt graduation carries out the display of salinity designatorization in first image, and the image output after visualization is protected
It deposits.
8. system according to claim 7, which is characterized in that the salinity monitoring modular includes:
Selecting unit needs to detect the position of soil for being selected in；
Salinity monitoring unit, for realizing the monitoring to soil salt according to the position of selection, comprising: the single-point of soil salt is supervised
Survey, multiple spot monitoring and area monitoring.
9. a kind of soil salt monitoring device characterized by comprising
Processor；
Memory, for storing computer executable instructions；
When the processor executes the computer executable instructions, the processor perform claim requires any one of 1-4 institute
The soil salt monitoring method stated obtains the second remote sensing estimation model for carrying out remote-sensing inversion according to the first remote sensing estimation model,
First image is imported into second remote sensing estimation model and carries out remote sensing image the second image of acquisition, first image is pre- place
The soil remote sensing image of reason, second image are that the pretreated soil remote sensing image passes through the second remote-sensing inversion mould
Soil remote sensing image after type, second image are shown according to salinity designatorization, and second image shows salt
Distribution；Soil salt monitoring is carried out according to second image.
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| 李焕 等: "基于WEBGIS 与三库一体模式的土壤盐渍化监测预警系统平台研发", 《地质与勘探》 * |
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