CN105930847A - Combined edge detection-base SAR image linear feature extraction method - Google Patents
Combined edge detection-base SAR image linear feature extraction method Download PDFInfo
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- CN105930847A CN105930847A CN201610211874.0A CN201610211874A CN105930847A CN 105930847 A CN105930847 A CN 105930847A CN 201610211874 A CN201610211874 A CN 201610211874A CN 105930847 A CN105930847 A CN 105930847A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/457—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by analysing connectivity, e.g. edge linking, connected component analysis or slices
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Abstract
The invention discloses a combined edge detection-base SAR image linear feature extraction method. The method comprises the following steps that: a Frost algorithm is adopted to perform filtering preprocessing on an image; a compromise is made between speckle noise removal and edge information reservation; a Canny operator and ROA operator-based edge detection algorithm is adopted to carry out image edge detection, wherein the Canny operator and ROA operator-based edge detection algorithm has a great edge positioning ability when maintaining a constant false alarm rate; an improved Radon method is adopted to carry out linear support set extraction, the least square method is adopted to fit a linear support set so as to obtain linear primitives; and fractured linear primitives are connected together based on a point heuristic type connection thought, and extracted linear features can be further improved. With the combined edge detection-base SAR image linear feature extraction method of the invention adopted, man-machine interaction, accuracy and convenience of SAR image detection can be detected.
Description
Technical field
The present invention relates to image co-registration field, be specifically related to a kind of SAR image line based on combination of edge detection
Property feature extracting method.
Background technology
SAR image linear characteristic extracting method generally comprises 3 steps: be first filtered SAR image
Deng pretreatment；Then neighborhood of pixels is detected and marginal point is separated with background area, referred to as rim detection；
Finally the marginal point in units of pixel is connected into straight line and describes its line structure, referred to as edge marshalling.Limit
Edge detection is Pixel-level computing.In the rim detection of optical imagery, generally use Canny or zero crossing etc.
Gradient operator.Wherein, Canny operator has preferable edge stationkeeping ability, and operand is moderate, but for
It it is Additive noise model.And the noise of SAR image is the multiplicative noise that approximation obeys Gamma distribution, therefore,
Difference gradient operator is no longer CFAR for SAR image.Touzi et al. proposes, ratio of averages
(Ratio Of Average, ROA) operator has the characteristic of CFAR in the coherent spot that Gamma is distributed,
But ROA operator edge stationkeeping ability is poor, it is impossible to the edge inspection being directly used in during linear character automatically extracts
Survey.Edge marshalling is generally divided into two steps: line primitives extracts and line primitives connects.Line primitives extract typically have with
Lower several method: the extraction of phase coding sequences, line primitives based on template, Radon conversion etc..From line primitives
From the point of view of extraction ratio, correctness, extraction quality etc., the extraction performance of Radon conversion is best, and Radon
Convert the directional information without using marginal point, overcome low resolution SAR image edge direction location inaccurate
Problem.Often there is defect and deviation in the rectilinear after line primitives extracts, needs the line base of fracture for this
Unit couples together.
Summary of the invention
For solving the problems referred to above, the invention provides a kind of SAR image based on combination of edge detection the most special
Levy extracting method, add man-machine interaction, accuracy and convenience during SAR image detection.
For achieving the above object, the technical scheme that the present invention takes is:
SAR image linear characteristic extracting method based on combination of edge detection, comprises the steps:
S1, employing Frost algorithm are filtered pretreatment to image；Remove speckle noise and keep edge
Traded off between information.
S2, employing edge detection algorithm based on Canny operator and ROA operator carry out Image Edge-Detection；
This algorithm has preferable edge stationkeeping ability while keeping CFAR.
The Radon method that S3, employing improve carries out straight line support collection and extracts and use least square method to directly
Line support collection is fitted, and obtains line primitives；
S4, the line primitives of fracture is coupled together based on putting heuristic connection thought, the most perfect extract
Linear feature.It is demonstrated experimentally that new lines detection method preferably describes the linear spy in SAR image
Levy.
Wherein, described step S4 specifically includes following steps: first design is suitable for the adaptation of Radon conversion
Degree function, then regards line primitives marginal point (i.e. node) as, the extreme coordinates of line primitives, slope etc. is believed
Cease the state as node, utilize fitness function to be coupled together by the node with least disadvantage path.
The method have the advantages that
For the feature of low signal-to-noise ratio SAR image, have chosen a kind of new linear character being suitable to Project Realization
Extracting method.Canny operator and the edge detection algorithm of ROA operator is merged, it is achieved that detection by using
CFAR also overcomes line interruption, and detection algorithm has higher edge stationkeeping ability.Radon is utilized to convert
Extract line primitives, it is not necessary to CONSIDERING EDGE direction, overcome edge direction location that low signal-to-noise ratio brings inaccurate
Problem.Heuristic connection thought based on point, defines fitness function based on Radon conversion, it is achieved
Being reliably connected of line primitives.By the form of software, method is showed, user-friendly, soft
Part operation result shows: the linear character accurate description of the extraction linear structure of SAR image, the line obtained
Property feature can be used for the aspect such as automatic target detection and scene matching aided navigation.
Accompanying drawing explanation
Fig. 1 is the stream of the SAR image linear characteristic extracting method that the embodiment of the present invention detects based on combination of edge
Cheng Tu.
The SAR image linear characteristic extracting method that Fig. 2 is the embodiment of the present invention to be detected based on combination of edge walks
The flow chart of rapid S4.
Detailed description of the invention
In order to make objects and advantages of the present invention clearer, below in conjunction with embodiment, the present invention is carried out
Further describe.Should be appreciated that specific embodiment described herein only in order to explain the present invention,
It is not intended to limit the present invention.
As it is shown in figure 1, embodiments provide SAR image linear character based on combination of edge detection
Extracting method, comprises the steps:
S1, employing Frost algorithm are filtered pretreatment to image；Remove speckle noise and keep edge
Traded off between information.
S2, employing edge detection algorithm based on Canny operator and ROA operator carry out Image Edge-Detection；
This algorithm has preferable edge stationkeeping ability while keeping CFAR.
The Radon method that S3, employing improve carries out straight line support collection and extracts and use least square method to directly
Line support collection is fitted, and obtains line primitives；
S4, the line primitives of fracture is coupled together based on putting heuristic connection thought, the most perfect extract
Linear feature.It is demonstrated experimentally that new lines detection method preferably describes the linear spy in SAR image
Levy.
Owing to SAR image existing coherent speckle noise, long line interruption is usually made to become several sections.In order to obtain
Complete linear character, needs to couple together the straightway of fracture.This process is referred to as line primitives and connects.
Line primitives connection establishment is on the basis of extracting more complete line primitives.
SAR image signal to noise ratio is low, coherent spot strong, typically can not draw the accurate direction of marginal point.The present invention
The algorithm with certain geometry analyticity is used marginal point to be gathered into straight line support collection, then to straight line support
Collection is fitted realizing line primitives and extracts.Radon conversion has clear geometry analyticity, certain resisting is done
Disturb ability and be prone to the advantages such as parallel processing, and, compared with Hough transform, Radon transformation calculations amount
Little, need not the biggest memory space.So, the present invention uses Radon conversion to realize straight line support collection and extracts.
Heuristic connection is usually the Edge track of figure, and edge graph Shang You edge is all node, the width at edge
Degree and phase place are the state of node, and attended operation is the set of node having least disadvantage path in search graph.Minimum
The definition of loss is relevant with fitness function used, also relevant with concrete task.Not only to consider existing
The relation of node and next both candidate nodes, it is also contemplated that the situation of the upper node that it is connected with existing node.
The present invention uses the thought of heuristic connection to be coupled together by the line primitives of fracture, as in figure 2 it is shown, tool
Body comprises the steps: first to design the fitness function of applicable Radon conversion, is then regarded as by line primitives
Marginal point (i.e. node), using information such as the extreme coordinates of line primitives, slopes as the state of node, utilizes suitable
The node with least disadvantage path is coupled together by response function.
The above is only the preferred embodiment of the present invention, it is noted that common for the art
For technical staff, under the premise without departing from the principles of the invention, it is also possible to make some improvements and modifications,
These improvements and modifications also should be regarded as protection scope of the present invention.
Claims (2)
1. SAR image linear characteristic extracting method based on combination of edge detection, it is characterised in that include
Following steps:
S1, employing Frost algorithm are filtered pretreatment to image；
S2, employing edge detection algorithm based on Canny operator and ROA operator carry out Image Edge-Detection；
The Radon method that S3, employing improve carries out straight line support collection and extracts and use least square method to directly
Line support collection is fitted, and obtains line primitives；
S4, the line primitives of fracture is coupled together based on putting heuristic connection thought, the most perfect extract
Linear feature.
SAR image Linear feature extraction side based on combination of edge detection the most according to claim 1
Method, it is characterised in that described step S4 specifically includes following steps: first design is suitable for Radon conversion
Fitness function, then regard line primitives as marginal point, by information such as the extreme coordinates of line primitives, slopes
As the state of node, fitness function is utilized to be coupled together by the node with least disadvantage path.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107016397A (en) * | 2017-04-25 | 2017-08-04 | 深圳市大德激光技术有限公司 | Local template intelligently inspires global image matching process |
| CN107886505A (en) * | 2017-11-08 | 2018-04-06 | 电子科技大学 | A kind of synthetic aperture radar airfield detection method based on line primitives polymerization |
| CN110782471A (en) * | 2019-10-16 | 2020-02-11 | 中国矿业大学 | Multi-scale SAR image edge detection method |
Citations (2)
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| CN102521802A (en) * | 2011-11-28 | 2012-06-27 | 广东省科学院自动化工程研制中心 | Mathematical morphology and LoG operator combined edge detection algorithm |
| CN104200442A (en) * | 2014-09-19 | 2014-12-10 | 西安电子科技大学 | Improved canny edge detection based non-local means MRI (magnetic resonance image) denoising method |
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| 安成锦等: "基于融合边缘检测的SAR图像线性特征提取算法", 《电子与信息学报》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107016397A (en) * | 2017-04-25 | 2017-08-04 | 深圳市大德激光技术有限公司 | Local template intelligently inspires global image matching process |
| CN107886505A (en) * | 2017-11-08 | 2018-04-06 | 电子科技大学 | A kind of synthetic aperture radar airfield detection method based on line primitives polymerization |
| CN110782471A (en) * | 2019-10-16 | 2020-02-11 | 中国矿业大学 | Multi-scale SAR image edge detection method |
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