CN106501790B - A kind of shallow sea submarine target EO-1 hyperion parameter characteristic extracting method - Google Patents
A kind of shallow sea submarine target EO-1 hyperion parameter characteristic extracting method Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
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Abstract
A kind of shallow sea submarine target EO-1 hyperion parameter characteristic extracting method, the present invention relates to shallow sea submarine target EO-1 hyperion parameter characteristic extracting methods.The deficient in stability when present invention is to solve the problems, such as the prior art directly using full spectrum or single wavelength reflectivity as feature.Step of the present invention is：Step 1：Submarine target is established from water radiance simulation model；Step 2：Determining makes target from water radiance simulation value and the submarine target of actual measured value error minimum from water radiance simulation model input parameter；Step 3：Target state estimator depth in the input parameter that step 2 is determined is with reflectivity as the high-spectrum remote-sensing feature of target.The present invention proposes that receiving signal by spectrometer estimates that depth related with submarine target attribute and reflectivity are used as feature, improves the stability of feature, improves submarine target EO-1 hyperion detectivity while so that target signature is had physical significance.The present invention is applied to optical remote sensing field of signal processing.
Description
Technical field
The present invention relates to shallow sea submarine target EO-1 hyperion parameter characteristic extracting methods.
Background technology
Shallow Water Target is detected has important meaning with identification for marine monitoring, marine resources development and maritime search and rescue etc.
Justice, but neritic environment Underwater Target Detection is currently a problem.Traditional detecting devices, such as radar and sonar, in Detecting Shallow Sea
It is much limited when submarine target：Although radar can form target very high spatial resolution, electromagnetic wave can not be worn
Pervious bed；Sonar can utilize the submarine target of acoustic resonance identification unlike material, but by the shadow of the strong interface reverberation in shallow sea
It rings, detection performance is had a greatly reduced quality.In addition to these reasons, with the development of material, propulsion and information technology, modern subaqueous target
All have certain electromagnetism stealth and Sound stealth ability, this further improves the difficulty of Underwater Target Detection.Therefore, develop
Optical detection means, especially hyperspectral technique become the new solution route of current neritic environment Underwater Target Detection.
Hyperspectral technique has due to the main problem that Underwater Target Detection faces at present：1) marine background radiation spectrum easily by
Marine Environment Factors are influenced and are changed；2) light round trip in water layer is propagated, and target scattering spectrum will produce uncertain
The radiance absolute value difference of distortion, target and marine background is smaller.These problems cause using full spectrum or single wave band
Deficient in stability when reflectivity is radiated from water radiation with marine background as feature differentiation submarine target.
Invention content
The present invention is to lack when solving the prior art directly using full spectrum or single wavelength reflectivity as feature
The problem of stability, and a kind of shallow sea submarine target EO-1 hyperion parameter characteristic extracting method proposed.
A kind of shallow sea submarine target EO-1 hyperion parameter characteristic extracting method is realized according to the following steps：
Step 1：Submarine target is established from water radiance simulation model；
Step 2：Determining makes target from water radiance simulation value and the submarine target of actual measured value error minimum from water spoke
Penetrate rate simulation model input parameter；
Step 3：Target state estimator depth in the input parameter that step 2 is determined is with reflectivity as the EO-1 hyperion of target
Remote sensing features.
Invention effect：
In view of the problems of the existing technology, the present invention proposes to receive signal estimation and submarine target attribute by spectrometer
Related depth and reflectivity improve the stability of feature, carry as feature while so that target signature is had physical significance
High submarine target EO-1 hyperion detectivity lacks steady when solving directly using full spectrum or single wavelength reflectivity as feature
Qualitative problem.
Description of the drawings
Fig. 1 is to radiate simulation model technical solution figure from water；
Fig. 2 is submarine target from water radiation parameter feature extraction conceptual scheme；
Fig. 3 is the albedo image for emulating the detection of submarine target EO-1 hyperion in 530nm；
Fig. 4 is target sample and distribution map of the marine background sample in two-dimensional feature space under artificial water.
Specific implementation mode
Specific implementation mode one：A kind of shallow sea submarine target EO-1 hyperion parameter characteristic extracting method includes the following steps：
Step 1：Submarine target is established from water radiance simulation model；
Step 2：Determining makes target from water radiance simulation value and the submarine target of actual measured value error minimum from water spoke
Penetrate rate simulation model input parameter；
Step 3：Target state estimator depth in the input parameter that step 2 is determined is with reflectivity as the EO-1 hyperion of target
Remote sensing features.
Submarine target from water radiate simulation model technical solution as shown in Figure 1, sea from water radiance by Absorption by Sea Water
Rate, reflectivity of sea water and sub-bottom reflection rate determine that Absorption by Sea Water rate in water in phytoplankton chlorophyll concentration, water by being dissolved with
Machine object absorptivity and full sea water absorptivity determine that reflectivity of sea water is determined by suspended particulate reflectivity in water and full sea water reflectivity
Fixed, sub-bottom reflection rate is determined by submarine sedimentary strata material；Error of the sea from water radiance simulation value and actual measured value is calculated,
Full spectrum is divided into two wavelength bands according to the spectral window of seawater, is 400-600nm and 600-715nm respectively, is introduced flat
The radiance absolute value difference of two wavelength bands of equalization parameter that weigh；Search makes submarine target from water radiance simulation value and reality
The input parameter of measurement error minimum, extraction reflectivity and high-spectrum remote-sensing feature of the target depth as submarine target.
Specific implementation mode two：The present embodiment is different from the first embodiment in that：Water is established in the step 1
Detailed process of the lower target from water radiance simulation model be：
Sea determines from water radiance by Absorption by Sea Water rate, reflectivity of sea water and sub-bottom reflection rate, and light is transmitted through sea
Can be affected when water-air interface, interface upper surface from water radiance RrsWith the uplink radiation rate r of lower surfacersHave following
Relationship：
Wherein rrsSemi-analytical model be：
Wherein a is total absorptivity, bbFor total back reflection rate, θwFor the zenith angle of the sun, H is depth, and ρ is sub-bottom reflection
Rate,B is the sub-bottom reflection rate at 550nm,It is using B as the seabed being normalized with reference to value
Reflectance curve；
The total absorptivity of seawater dissolves organic in the absorption of chlorophyll and water contained by the absorption of full sea water, phytoplankton
The absorption three of object codetermines, i.e.,：
A=aw+aφ+ag (3)
Wherein awFor the absorptivity of full sea water, obtained by tabling look-up；aφFor the absorptivity of phytoplankton chlorophyll, agFor water
The absorptivity of middle dissolved organic matter, computational methods are respectively：
aφ(λ)=[a0(λ)+a1(λ)ln(P)]P (4)
P=aφ(440)=0.06 [chl-a]0.65 (5)
ag(λ)=Gexp [- 0.015 (λ -440)] (6)
Wherein λ represents wavelength, G=ag(440), i.e., dissolved organic matter absorptivity in the water at wavelength 440nm；
The total reflectivity b of seawaterbBy the backscattering ratio of suspended particulate in the backscattering ratio and water of two full sea waters,
I.e.：
bb=bbw+bbp (7)
Wherein bbwFor the reflectivity of full sea water, obtained by tabling look-up；bbpIt is the backscattering ratio of suspended particulates in water, meter
Calculating formula is：
bbp(λ)=[chl-a]0.62550/λ (8)。
Other steps and parameter are same as the specific embodiment one.
Specific implementation mode three：The present embodiment is different from the first and the second embodiment in that：In the step 2 really
So that target is inputted from water radiance simulation model from water radiance simulation value and the submarine target of actual measured value error minimum surely
The detailed process of parameter is：
Fig. 2 is submarine target from water radiation parameter feature extraction scheme schematic diagram.According to from water radiance simulation model,
The absorptivity a of full sea waterwWith reflectivity bbwIt is to determine, marine phytoplankton absorptivity aφ, suspended particulate reflectivity b in waterbp
It is related with water Determination of Chlorophyll density chl-a, dissolved organic matter absorptivity a in watergHave with its reference absorptivity G at 440nm
It closes, sub-bottom reflection rate ρ is related with its reference reflectivity B at 550nm.From water radiance simulation model, there are four input ginsengs altogether
Number, i.e.,：
Rrs(λ)=F (aw(λ),bbw(λ),chl-a,G,B,H) (9)
It brings different parameters into sea and obtains simulation result of the sea from water radiance from the semi-analytical model that water radiates,
By the error of computer sim- ulation result and actual measured results, corresponding parameter value when error minimum is obtained；Sea is radiated from water
Shown in the simulation result of rate and the error of actual measured results such as formula (10)：
Wherein, Rrs(λ) is actual measured results of the sea from water radiance,It is emulation of the sea from water radiance
As a result；It represents to wave band λ1-λ2Radiance in range is averaged, and parameter ω is to balance from water radiance in λ1-λ2
With λ3-λ4Strength difference in range；
Search for formula (11) it is minimum from water radiance simulation model input parameter, the seabed at 550nm therein is anti-
Rate B and depth H are penetrated as target signature.
Other steps and parameter are the same as one or two specific embodiments.
Specific implementation mode four：Unlike one of present embodiment and specific implementation mode one to three：Described is 400-
600nm, λ3-λ4For 600-710nm.
Other steps and parameter are identical as one of specific implementation mode one to three.
Embodiment one：
Fig. 3 is the albedo image for emulating the detection of submarine target EO-1 hyperion in 530nm, from marine background radiation areas and water
Respectively 50 pixels of random selection pass through above-mentioned flow as marine background sample and submarine target sample for lower target region
The estimation reflectivity of each pixel and estimating depth are extracted as the corresponding feature of the pixel, Fig. 4 is submarine target sample and sea
Foreign background sample is in estimation reflectivity and the distribution in the two-dimensional feature space of estimating depth composition, the estimation reflection of submarine target
Rate is all higher than marine background sample with estimating depth, and the two has different and respective metastable distributed area in feature space
Domain has reached the purpose of the present invention to realize the high-spectrum remote-sensing feature extraction of submarine target stabilization.
Claims (3)
1. a kind of shallow sea submarine target EO-1 hyperion parameter characteristic extracting method, which is characterized in that the shallow sea submarine target is high
Spectrum parameter feature extracting method includes the following steps：
Step 1：Submarine target is established from water radiance simulation model；
Step 2：Determining makes target from water radiance simulation value and the submarine target of actual measured value error minimum from water radiance
Simulation model input parameter；
Step 3：Target state estimator depth in the input parameter that step 2 is determined is with reflectivity as the high-spectrum remote-sensing of target
Feature；
Detailed process of the submarine target from water radiance simulation model is established in the step 1 is：
Sea determines from water radiance by Absorption by Sea Water rate, reflectivity of sea water and sub-bottom reflection rate, and light is transmitted through seawater-sky
It can be affected when vapor interface, the upper surface of seawater-Air Interface is from water radiance RrsWith the uplink radiation rate r of lower surfacersHave
Following relationship：
Wherein rrsSemi-analytical model be：
Wherein a is total absorptivity, bbFor total back reflection rate, θwFor the zenith angle of the sun, H is depth, and ρ is sub-bottom reflection rate,B is the sub-bottom reflection rate at 550nm,It is anti-using B as the seabed being normalized with reference to value
Penetrate rate curve；
Dissolved organic matter in the total absorptivity of seawater absorption of chlorophyll and water contained by the absorption of full sea water, phytoplankton
It absorbs three to codetermine, i.e.,：
A=aw+aφ+ag (3)
Wherein awFor the absorptivity of full sea water, aφFor the absorptivity of phytoplankton chlorophyll, agFor the absorption of dissolved organic matter in water
Rate, computational methods are respectively：
aφ(λ)=[a0(λ)+a1(λ)ln(P)]P (4)
P=aφ(440)=0.06 [chl-a]0.65 (5)
ag(λ)=Gexp [- 0.015 (λ -440)] (6)
Wherein λ represents wavelength, G=ag(440), i.e., dissolved organic matter absorptivity in the water at wavelength 440nm；
The total reflectivity b of seawaterbBy the backscattering ratio of suspended particulate in the backscattering ratio and water of two full sea waters, i.e.,：
bb=bbw+bbp (7)
Wherein bbwFor the reflectivity of full sea water, bbpIt is the backscattering ratio of suspended particulates in water, calculation formula is：
bbp(λ)=[chl-a]0.62550/λ (8)。
2. a kind of shallow sea submarine target EO-1 hyperion parameter characteristic extracting method according to claim 1, which is characterized in that
Being determined in the step 2 makes target be radiated from water from water radiance simulation value and the submarine target of actual measured value error minimum
The detailed process of rate simulation model input parameter is：
According to from water radiance simulation model, the absorptivity a of full sea waterwWith reflectivity bbwIt is to determine, is emulated from water radiance
There are four input parameters altogether for model, i.e.,：
Rrs(λ)=F (aw(λ), bbw(λ), chl-a, G, B, H) (9)
It brings different parameters into sea and obtains simulation result of the sea from water radiance from the semi-analytical model that water radiates, pass through
The error of computer sim- ulation result and actual measured results obtains corresponding parameter value when error minimum；Sea is from water radiance
Shown in the error of simulation result and actual measured results such as formula (10)：
Wherein, Rrs(λ) is actual measured results of the sea from water radiance,It is emulation knot of the sea from water radiance
Fruit；It represents to wave band λ1-λ2Radiance in range is averaged, and parameter ω is to balance from water radiance in λ1-λ2With
λ3-λ4Strength difference in range；
Search for formula (11) it is minimum from water radiance simulation model input parameter, by the sub-bottom reflection rate B at 550nm therein
And depth H is as target signature.
3. a kind of shallow sea submarine target EO-1 hyperion parameter characteristic extracting method according to claim 2, which is characterized in that
The λ1-λ2For 400-600nm, λ3-λ4For 600-710nm.
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