CN110147716A - Wave method for detecting area in a kind of SAR image combined based on frequency domain with airspace - Google Patents

Wave method for detecting area in a kind of SAR image combined based on frequency domain with airspace Download PDF

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CN110147716A
CN110147716A CN201910260644.7A CN201910260644A CN110147716A CN 110147716 A CN110147716 A CN 110147716A CN 201910260644 A CN201910260644 A CN 201910260644A CN 110147716 A CN110147716 A CN 110147716A
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wave
sar image
indicatrix
ocean
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CN110147716B (en
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陈天明
张俊青
章菲菲
梁若飞
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BEIJING POLYTECHNIC LEIKE ELECTRONIC INFORMATION TECHNOLOGY Co Ltd
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    • G06F18/22Matching criteria, e.g. proximity measures
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06T2207/10032Satellite or aerial image; Remote sensing
    • G06T2207/10044Radar image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
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    • G06T2207/30181Earth observation

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Abstract

The invention discloses wave method for detecting area in a kind of SAR image combined based on frequency domain with airspace, SAR image to be processed is divided into several sub-blocks according to the characteristic dimension of interior wave by SAR image piecemeal, image Power estimation is carried out to each SAR image sub-block, wave schlieren texture information in extracting carries out threshold test within the scope of the characteristic dimension of interior wave and obtains internal wave of ocean Rough Inspection altimetric image;Internal wave of ocean rough detection is a series of indicatrix of wave wave crest or trough in marks, since wave characteristic curve is discontinuous in the influence such as background, noise and there are part spurious curvilinearities, the rejecting with false characteristic curve is merged to peak line using planing method, obtains continuous and more clean background interior wave characteristic curve.Identification processing is carried out with wave background, water surface ship trace, oceanic front etc. according to obtained interior wave characteristic curve estimation song curvature of a curve, peak line spacing etc., and accordingly, finally obtains internal wave of ocean region mark image.

Description

Wave method for detecting area in a kind of SAR image combined based on frequency domain with airspace
Technical field
The invention belongs to image procossings and target area detection technology field, and in particular to one kind is based on frequency domain and airspace phase In conjunction with SAR image in wave method for detecting area.
Background technique
Internal wave of ocean is the fluctuation occurred inside stratification water body, and interior wave is in the substance, momentum and energy transmission of ocean Play key player.At the same time, internal wave of ocean also has with subjects such as marine acoustics, marine biology, military oceanographies It is closely connected.Underwater navigation, oceanographic observation are also had a significant impact.Therefore, the research of internal wave of ocean is to Marine Sciences, ocean Engineering and ocean military aspect have great significance.
The difficult point that SAR image internal wave of ocean detects automatically is mainly the complexity of internal wave of ocean unique characteristics, and complicated Marine background (including the complicated oceanographic phenomena such as wave, sea-floor relief, rainfall, target and tail, oceanic front), SAR image are serious Interference of the noise to internal wave of ocean feature.
Summary of the invention
In view of this, the object of the present invention is to provide wave regions in a kind of SAR image combined based on frequency domain with airspace It is high to calculate small, high-efficient, the interior wave extracted region accuracy rate of cost for detection method.
Wave method for detecting area in a kind of SAR image, which comprises the steps of:
Step 1 rejects land and neritic province domain in SAR image:
Step 2 carries out low frequency filtering to step 1 treated SAR image, realizes the inhibition to wave and noise;
Step 3, the Regional Characteristics scale according to internal wave of ocean, by step 2, treated that SAR image is divided into several sons Block, and obtain the frequency domain character image power spectrum in each sub-block region;
Step 4, the wave-length coverage according to internal wave of ocean estimate the normalized energy within the scope of corresponding wavelength, as ocean Interior Spectral Characteristic;
Step 5, using step 4 obtain internal wave of ocean spectrum signature as reference, based on step 3 calculating each sub-block region pair The frequency domain character image power spectrum answered, filtering out may be comprising the sub-block region in internal wave of ocean region;
The local feature line in each sub-block region that step 6, detecting step 5 filter out, and estimate the side of local feature line To and position;Calculate length, width, the curvature feature of local feature line in each sub-block region;
Similitude in terms of step 7, the width based on local feature line and direction and the proximity on position, will be similar The local feature line that property and proximity are all satisfied setting condition connects into indicatrix;To the indicatrix after connection, further Extract the attribute information of characteristic curve;
Indicatrix is organized into groups further according to the similitude of indicatrix attribute, and is estimated between every group of indicatrix Spacing;
Step 8, according to extract indicatrix group attribute information, determine whether each attribute information meets internal wave of ocean respectively Feature: if met, this feature curve group is internal wave of ocean;Calculate the area of this group of indicatrix Yu affiliated sub-block region Than when being greater than the set value, it is believed that there are internal wave of ocean regions in the sub-block region.
Preferably, the neritic province domain is the region that the depth of water is less than 30m.
Preferably, the sub-block region is 20 kilometers in step 3.
Preferably, the sub-block is interregional to be overlapped or is not overlapped in step 3.
Preferably, detecting local feature line using LSD algorithm in step 6.
Preferably, in step 6, using the direction and position of local feature line, by the image in sub-block region along local feature Line direction carries out projection accumulation, obtains the section waveform of local feature line, carries out morphological analysis to section waveform and further calculates Local feature line includes the attribute at ridge, paddy or edge.
Preferably, the spacing of indicatrix is characterized between the ridge of the section waveform of curve between distance or paddy in the step 7 Distance.
Preferably, local feature line is connected into spy using linear programming or probability relaxation planing method in the step 7 Levy curve.
Preferably, comprehensively consider in the step 7 including the collimation between indicatrix, the curvature of indicatrix, it is special Indicatrix is grouped in terms of sign curve attribute, curve width.
Preferably, the attribute information of the indicatrix group includes at least characteristic curve part width, song in the step 8 One of rate, indicatrix spacing, indicatrix spacing and part width ratio.
The invention has the following beneficial effects:
Wave method for detecting area in the SAR image combined based on frequency domain with airspace of the invention, for through overshoot school SAR image after just is aided with extra large land identification information and rejects land and neritic province domain, the subsequent sea for being only greater than certain depth to the depth of water Oceanic province domain SAR image is handled.If SAR image to be processed is divided by SAR image piecemeal according to the characteristic dimension of interior wave Dry sub-block carries out image Power estimation to each SAR image sub-block, interior wave schlieren texture information is extracted, in the characteristic dimension of interior wave Threshold test is carried out in range obtains internal wave of ocean Rough Inspection altimetric image.Internal wave of ocean rough detection be a series of marks in wave wave crest or The indicatrix of trough is utilized since wave characteristic curve is discontinuous in the influence such as background, noise and there are part spurious curvilinearities Planing method is merged to peak line and the rejecting of false characteristic curve, and it is bent to obtain continuous and more clean background interior wave characteristic Line.According to obtained interior wave characteristic curve estimation song curvature of a curve, peak line spacing etc., and accordingly with wave background, waterborne vessel Tail, oceanic front etc. carry out identification processing, finally obtain internal wave of ocean region mark image.
Detailed description of the invention
Fig. 1 is overview flow chart of the present invention;
Fig. 2 is the scene figure comprising land and interior wave region;
Fig. 3 is SAR image piecemeal result schematic diagram;
Fig. 4 is local feature line drawing result schematic diagram;
Fig. 5 (a) is to choose a sub-block region from SAR image to obtain section waveform;
Fig. 5 (b) is the local feature line section waveform diagram of Fig. 5 (a) chosen area;
Fig. 6 is interior wave extracted region result figure.
Specific embodiment
The present invention will now be described in detail with reference to the accompanying drawings and examples.
In general, marine environmental monitoring and the critical issue of underwater navigation first is that internal wave of ocean region detection, this Invention carries out internal wave of ocean region detection for SAR image.Overview flow chart of the present invention is as shown in Figure 1.With reference to the accompanying drawing and The present invention is described in further detail for example.
Step 1 rejects land and neritic province domain:
As shown in Fig. 2, it is less than the region 30m using extra large land identification information rejecting land area and the depth of water, it is subsequent only to the depth of water Sea area greater than 30m is handled.
Step 2, the wave based on low frequency filtering and noise suppressed
Smaller scale random seaway and SAR image noise are filtered using low frequency filtering, killed the sea and noise Interference.
Step 3, SAR image piecemeal and area image Power estimation
According to the Regional Characteristics scale of interior wave, SAR image to be processed is divided into several sub-blocks, is extended by interior wave and is grown Degree can 20 kilometers of initial setting sub-block size, can have overlapping between sub-block, piecemeal is non-overlapping in the invention, as shown in Figure 3.Utilize Fu In leaf transformation calculate the frequency domain character image power spectrum in each sub-block region.
Step 4, the estimation of internal wave of ocean spectrum signature
The wavelength of internal wave of ocean generally arrives kilometer grade at hundreds of meters, according to the wave-length coverage of internal wave of ocean, estimates corresponding wave Normalized energy in long range is as internal wave of ocean spectrum signature.
Step 5, the internal wave of ocean rough detection based on spectrum signature
According to the internal wave of ocean spectrum signature of extraction, screening determines that several may include the SAR image sub-block in interior wave region.
Step 6, local feature line drawing and fine-feature calculate
Using the local feature line in the sub-block region that LSD algorithm detection filters out, testing result is as shown in figure 4, and estimate Detect the direction and position of local feature line.Calculate length, width, the curvature of local feature line etc. in each sub-block region Fine-feature.Using the direction and position of local feature line, the SAR image of local window is subjected to projection accumulation along its direction, The section waveform of local feature line is obtained, the attribute (ridge that morphological analysis further calculates local feature line is carried out to section waveform Or paddy or edge, or the amount of the attribute can be described), as shown in Figure 5.
Feature assessment after step 7, the connection of local feature line and indicatrix marshalling
According to the proximity on the similitude of local feature line part width, direction etc. and spatial position, use Local feature line is connected into longer indicatrix by the methods of linear programming or probability relaxation planning, to longer after connection Indicatrix further extracts characteristic curve information.Consider curve between collimation, bent curvature of a curve, the ridge of curve or paddy or The similitude of edge attributes, curve width etc., it is one group that a plurality of indicatrix, which is compiled, is estimated between this group of indicatrix Spacing (distance between the section waveform of characteristic curve between ridge or paddy) contour level feature.
Step 8, interior wave characteristic differentiate and region mark
According to characteristic curve attribute information-part width of the indicatrix group of extraction, curvature, indicatrix spacing, feature Curve spacing and part width ratio etc., determine whether each attribute meets internal wave of ocean feature respectively, if met, the spy Sign curve group is internal wave of ocean;The area ratio of this group of indicatrix Yu affiliated sub-block region is calculated, when being greater than 20%, it is believed that the son There are internal wave of ocean regions in block region, carry out region mark, differentiate that result figure is as shown in Figure 6.
In conclusion the above is merely preferred embodiments of the present invention, being not intended to limit the scope of the present invention. All within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in of the invention Within protection scope.

Claims (10)

1. wave method for detecting area in a kind of SAR image, which comprises the steps of:
Step 1 rejects land and neritic province domain in SAR image:
Step 2 carries out low frequency filtering to step 1 treated SAR image, realizes the inhibition to wave and noise;
Step 3, the Regional Characteristics scale according to internal wave of ocean, by step 2, treated that SAR image is divided into several sub-blocks, And obtain the frequency domain character image power spectrum in each sub-block region;
Step 4, the wave-length coverage according to internal wave of ocean estimate the normalized energy within the scope of corresponding wavelength, as internal wave of ocean Spectrum signature;
Step 5, using step 4 obtain internal wave of ocean spectrum signature as reference, based on step 3 calculating each sub-block region it is corresponding Frequency domain character image power spectrum, filtering out may be comprising the sub-block region in internal wave of ocean region;
The local feature line in each sub-block region that step 6, detecting step 5 filter out, and estimate local feature line direction and Position;Calculate length, width, the curvature feature of local feature line in each sub-block region;
Similitude in terms of step 7, the width based on local feature line and direction and the proximity on position, by similitude and The local feature line that proximity is all satisfied setting condition connects into indicatrix;To the indicatrix after connection, further extract The attribute information of characteristic curve;
Indicatrix is organized into groups further according to the similitude of indicatrix attribute, and between estimating between every group of indicatrix Away from;
Step 8, according to extract indicatrix group attribute information, determine respectively each attribute information whether meet internal wave of ocean spy Sign: if met, this feature curve group is internal wave of ocean;Calculate the area of this group of indicatrix Yu affiliated sub-block region Than when being greater than the set value, it is believed that there are internal wave of ocean regions in the sub-block region.
2. wave method for detecting area in a kind of SAR image as described in claim 1, which is characterized in that the neritic province domain is The depth of water is less than the region of 30m.
3. wave method for detecting area in a kind of SAR image as described in claim 1, which is characterized in that in step 3, the son Block region is 20 kilometers.
4. wave method for detecting area in a kind of SAR image as described in claim 1, which is characterized in that in step 3, the son The interregional overlapping of block or not.
5. wave method for detecting area in a kind of SAR image as described in claim 1, which is characterized in that in step 6, utilize LSD Algorithm detects local feature line.
6. wave method for detecting area in a kind of SAR image as described in claim 1, which is characterized in that in step 6, utilize office The image in sub-block region is carried out projection accumulation along local feature line direction, obtains local spy by the direction and position of portion's characteristic curve The section waveform for levying line carries out morphological analysis to section waveform and further calculates the category that local feature line includes ridge, paddy or edge Property.
7. wave method for detecting area in a kind of SAR image as claimed in claim 6, which is characterized in that special in the step 7 Distance between distance or paddy between the ridge for the section waveform that the spacing of sign curve is characterized curve.
8. wave method for detecting area in a kind of SAR image as described in claim 1, which is characterized in that in the step 7, adopt Local feature line is connected into indicatrix with linear programming or probability relaxation planing method.
9. wave method for detecting area in a kind of SAR image as described in claim 1, which is characterized in that comprehensive in the step 7 It closes and considers to include the collimation between indicatrix, the curvature of indicatrix, indicatrix attribute, curve width aspect are to feature Curve is grouped.
10. wave method for detecting area in a kind of SAR image as described in claim 1, which is characterized in that in the step 8, institute State indicatrix group attribute information include at least characteristic curve part width, curvature, indicatrix spacing, indicatrix spacing with One of part width ratio.
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