CN110084305A - A kind of adaptive crops time of infertility parameter inversion method based on polarization SAR - Google Patents
A kind of adaptive crops time of infertility parameter inversion method based on polarization SAR Download PDFInfo
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- CN110084305A CN110084305A CN201910349098.4A CN201910349098A CN110084305A CN 110084305 A CN110084305 A CN 110084305A CN 201910349098 A CN201910349098 A CN 201910349098A CN 110084305 A CN110084305 A CN 110084305A
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Abstract
The invention discloses a kind of adaptive crops time of infertility parameter inversion method based on polarization SAR includes the following steps: S1: extracting all kinds of vegetation indexs and SAR characteristic parameter in target area；S2: one group of experiment of design includes a variety of different rice phenological period dividing conditions；S3: the feature selecting algorithm inhibited based on Monte Carlo random sampling and correlation is established, optimal characteristics matrix is obtained；In optimal characteristics matrix, the optimal feature subset for identifying every a pair of of phenological period is contained；By comparing 6 kinds of different phenological period dividing conditions are analyzed in the present invention, optimal phenological period identifying schemes are that the entire growth cycle of rice is identified as 8 phenological periods；The optimal characteristics matrix in 8 phenological periods of identification is constructed in the present invention for the first time, wherein the optimal feature subset comprising the identification any two phenological period.It is worth noting that, identifying that the optimal feature subset in phenological period is different for rice transplanting dregs of rice rice field and for broadcasting sowing japonica rice field.
Description
Technical field
It is specially a kind of based on polarization SAR the invention belongs to crops time of infertility parametric inversion processing technology field
Adaptive crops time of infertility parameter inversion method.
Background technique
The monitoring of rice agriculture feelings includes many aspects.Wherein, Monitoring of Paddy Rice Plant Area statistics, phenological period identification and yield forecast
It is three big main application demands.The accurate up-to-date information for grasping rice (including dregs of rice rice and japonica rice) cultivated area understands timely
Rice Cropping distribution, governments at all levels formulate grain-production policy and macro adjustments and controls Rice regionalization important in inhibiting.Water
The identification of rice phenological period facilitates the movable timely development of the field management such as fertilising, irrigation, weeding, insect prevention, for a wide range of, scale
Precision agriculture provides technical support.Meanwhile phenological period information acts not only as the necessary input of yield forecast quantitative model, also
Important information can be provided for paddy field seasonality discharge of methane quantitative model, there is weight to scientific researches such as global environmental changes
Want meaning.In conjunction with Monitoring of Paddy Rice Plant Area and phenological period information, periodical, accuracy forecast is carried out to rice yield and directly affects political affairs
Reasonable grain-production, allotment and storage and transportation policy are formulated in mansion, provide important evidence for the scientific forecasting and control of provision price；
Traditional rice agriculture feelings monitoring method is typically all both to be wasted time based on the statistical analysis to ground data collection
And financial resources, and not can guarantee the real-time and accurate of monitoring result.In recent years, remote sensing technology is wide with its covering, revisiting period is short etc.
Feature has gradually replaced traditional field Field observation method, causes the great interest of related practitioner and administrative department；For
This, we are proposed a kind of adaptive crops time of infertility parameter inversion method based on polarization SAR.
Summary of the invention
It is an object of the invention to: it is wasted time and financial resources to solve traditional rice agriculture feelings monitoring method, and can not
The real-time and accurate technical problem for guaranteeing monitoring result provides a kind of adaptive crops based on polarization SAR and gives birth to entirely
Period parameters inversion method.
The technical solution adopted by the invention is as follows:
A kind of adaptive crops time of infertility parameter inversion method based on polarization SAR, it is characterised in that: including such as
Lower step:
S1: all kinds of vegetation indexs and SAR characteristic parameter in target area are extracted；
S2: one group of experiment of design includes a variety of different rice phenological period dividing conditions；
S3: the feature selecting algorithm inhibited based on Monte Carlo random sampling and correlation is established, optimal characteristics square is obtained
Battle array；In optimal characteristics matrix, the optimal feature subset for identifying every a pair of of phenological period is contained；
S4: being that classifier identifies the different rice phenological periods with multiclass Method Using Relevance Vector Machine (m RVM)；
S5: precision test is carried out using eighty percent discount cross validation method (two-fold cross-validation), to score
The rice phenological period recognition result under different situations is analysed, proposes that the rice phenological period identifies optimal case；
S6: the critical issue in rice phenological period identification process is further discussed.
It wherein, include 6 kinds of different rice phenological period dividing conditions in the S2, optimal phenological period identifying schemes are by water
The entire growth cycle of rice is identified as 8 phenological periods.
Wherein, the S3 includes the following steps: S301, establishes optimal feature selection standard Pas；S302, Monte Carlo with
Machine sampling algorithm；S303, correlation inhibit.
Wherein, physics/mathematical meaning of optimal characteristics matrix and optimal characteristics, analysis optimal characteristics ginseng are combined in the S5
The Response Mechanism of the significant growth characteristics of rice in several pairs of different phenologicals.
Wherein, recognition result optimal in order to obtain in the S4 considers 4 kinds of different kernel functions, to based on different IPs
The recognition result of function is compared analysis.
It wherein, include comparison optics vegetation index in the S6, optics vegetation index illustrates polarization SAR data in the phenological period
Superiority and inferiority in identification；It analyzes rice transplanting dregs of rice rice field and broadcasts sowing the influence that japonica rice field identifies the phenological period.
Wherein, it includes multidate HJ-1AB that all kinds of vegetation indexs and SAR characteristic parameter in target area are extracted in the S1
Multispectral data and complete polarization RADARSAT-2 data.
Wherein, the kernel function includes linear, polynomial, RBF and sigmoid.
In conclusion by adopting the above-described technical solution, the beneficial effects of the present invention are:
1, by comparing 6 kinds of different phenological period dividing conditions of analysis in the present invention, optimal phenological period identifying schemes are
The entire growth cycle of rice is identified as 8 phenological periods.
2, the optimal characteristics matrix in 8 phenological periods of identification is constructed in the present invention for the first time, wherein including identification any two
The optimal feature subset in phenological period.It is worth noting that, identifying the phenological period for rice transplanting dregs of rice rice field and for broadcasting sowing japonica rice field
Optimal feature subset is different.
3, the contribution that quantitative analysis optics vegetation index and radar signature parameter identify the phenological period in the present invention
With respective superiority and inferiority.
4, research has shown that the difference for considering rice transplanting dregs of rice rice field and broadcasting sowing between japonica rice field identifies knot to the phenological period in the present invention
Fruit is particularly important.
Detailed description of the invention
Fig. 1 is process simplified schematic diagram of the invention；
Fig. 2 is the detailed process schematic diagram of S3 in the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention.
A kind of adaptive crops time of infertility parameter inversion method based on polarization SAR referring to FIG. 1-2, including
Following steps:
S1: all kinds of vegetation indexs and SAR characteristic parameter in target area are extracted；It is extracted in the S1 all kinds of in target area
Vegetation index and SAR characteristic parameter include multidate HJ-1AB multispectral data and complete polarization RADARSAT-2 data.
S2: one group of experiment of design includes a variety of different rice phenological period dividing conditions；It include 6 kinds of differences in the S2
Rice phenological period dividing condition, optimal phenological period identifying schemes are that the entire growth cycle of rice is identified as 8 phenological periods.
S3: the feature selecting algorithm inhibited based on Monte Carlo random sampling and correlation is established, optimal characteristics square is obtained
Battle array；In optimal characteristics matrix, the optimal feature subset for identifying every a pair of of phenological period is contained；The S3 includes the following steps:
S301, optimal feature selection standard Pas is established；S302, Monte Carlo random sampling algorithm；S303, correlation inhibit.
S4: being that classifier identifies the different rice phenological periods with multiclass Method Using Relevance Vector Machine (m RVM)；It is terrible in the S4
To optimal recognition result, considers 4 kinds of different kernel functions, analysis is compared to the recognition result based on different kernel functions,
The kernel function includes linear, polynomial, RBF and sigmoid.
S5: precision test is carried out using eighty percent discount cross validation method (two-fold cross-validation), to score
The rice phenological period recognition result under different situations is analysed, proposes that the rice phenological period identifies optimal case；It is combined in the S5 optimal
Physics/mathematical meaning of eigenmatrix and optimal characteristics analyzes optimal characteristics parameter to the significant growth of rice in different phenological
The Response Mechanism of feature.
S6: further discussing the critical issue in rice phenological period identification process, includes comparison optics vegetation in the S6
Index, optics vegetation index illustrate superiority and inferiority of the polarization SAR data in phenological period identification；It analyzes rice transplanting dregs of rice rice field and broadcasts sowing japonica rice
The influence that field identifies the phenological period.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (9)
1. a kind of adaptive crops time of infertility parameter inversion method based on polarization SAR, it is characterised in that: including as follows
Step:
S1: all kinds of vegetation indexs and SAR characteristic parameter in target area are extracted；
S2: one group of experiment of design includes a variety of different rice phenological period dividing conditions；
S3: the feature selecting algorithm inhibited based on Monte Carlo random sampling and correlation is established, optimal characteristics matrix is obtained；?
In optimal characteristics matrix, the optimal feature subset for identifying every a pair of of phenological period is contained；
S4: being that classifier identifies the different rice phenological periods with multiclass Method Using Relevance Vector Machine (m RVM)；
S5: precision test is carried out using eighty percent discount cross validation method, the rice phenological period under comparative analysis different situations identifies knot
Fruit proposes that the rice phenological period identifies optimal case；
S6: the critical issue in rice phenological period identification process is further discussed.
2. a kind of adaptive crops time of infertility parameter inversion method based on polarization SAR as described in claim 1,
It is characterized in that: the entire growth cycle of rice being identified as 8 phenological periods in the S2.
3. a kind of adaptive crops time of infertility parameter inversion method based on polarization SAR as described in claim 1,
Be characterized in that: the S3 includes the following steps: S301, establishes optimal feature selection standard Pas；S302, Monte Carlo are taken out at random
Sample algorithm；S303, correlation inhibit.
4. a kind of adaptive crops time of infertility parameter inversion method based on polarization SAR as described in claim 1,
It is characterized in that: combining physics/mathematical meaning of optimal characteristics matrix and optimal characteristics in S5, analyze optimal characteristics parameter to difference
The Response Mechanism of the significant growth characteristics of rice in phenological period.
5. a kind of adaptive crops time of infertility parameter inversion method based on polarization SAR as described in claim 1,
Be characterized in that: recognition result optimal in order to obtain in the S4 considers 4 kinds of different kernel functions, to based on different kernel functions
Recognition result be compared analysis.
6. a kind of adaptive crops time of infertility parameter inversion method based on polarization SAR as described in claim 1,
It is characterized in that: including comparison optics vegetation index in the S6, optics vegetation index illustrates that polarization SAR data identify in the phenological period
In superiority and inferiority；It analyzes rice transplanting dregs of rice rice field and broadcasts sowing the influence that japonica rice field identifies the phenological period.
7. a kind of adaptive crops time of infertility parameter inversion method based on polarization SAR as described in claim 1,
Be characterized in that: it includes the multispectral number of multidate HJ-1AB that all kinds of vegetation indexs and SAR characteristic parameter in target area are extracted in S1
According to complete polarization RADARSAT-2 data.
8. a kind of adaptive crops time of infertility parameter inversion method based on polarization SAR as claimed in claim 5,
Be characterized in that: the kernel function includes linear, polynomial, RBF and sigmoid.
9. a kind of anti-including any adaptive crops time of infertility parameter based on polarization SAR of claim 1-8
Drill the Inversion System of method.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113657469A (en) * | 2021-07-30 | 2021-11-16 | 广东省生态气象中心（珠江三角洲环境气象预报预警中心） | Automatic observation method and system for phenological period of woody plant based on image recognition |
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| CN103983230A (en) * | 2014-05-29 | 2014-08-13 | 福州大学 | Verification method for indirect measurement of ground leaf area index |
| CN104199027A (en) * | 2014-08-29 | 2014-12-10 | 中国科学院遥感与数字地球研究所 | Method for realizing large-area near real-time monitoring on phenological period of rice based on compactly polarimetric radar |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103983230A (en) * | 2014-05-29 | 2014-08-13 | 福州大学 | Verification method for indirect measurement of ground leaf area index |
| CN104199027A (en) * | 2014-08-29 | 2014-12-10 | 中国科学院遥感与数字地球研究所 | Method for realizing large-area near real-time monitoring on phenological period of rice based on compactly polarimetric radar |
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| 杨知: "基于极化SAR的水稻物候期监测与参数反演研究", 《中国博士学位论文全文数据库农业科技辑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113657469A (en) * | 2021-07-30 | 2021-11-16 | 广东省生态气象中心（珠江三角洲环境气象预报预警中心） | Automatic observation method and system for phenological period of woody plant based on image recognition |
| CN113657469B (en) * | 2021-07-30 | 2024-01-05 | 广东省生态气象中心（珠江三角洲环境气象预报预警中心） | Automatic observation method and system for woody plant waiting period based on image recognition |
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