CN104077777A - Sea surface vessel target detection method - Google Patents
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Abstract
The invention relates to a sea surface vessel target detection method which comprises the following steps that (1) a sea-land template automatic partitioning method based on scanning line detecting is used, and a sea-land partitioning template with the same size as an original remote sensing image is generated; (2) the sea-land partitioning template is used for being matched with an original port remote sensing image, and a minimum enclosing rectangle of each communication zone is obtained; and (3) the minimum enclosing rectangles of the communication zones obtained from the step (2) are subjected to screening, and a sea surface vessel target is determined. According to the sea surface vessel target detection method, the obtained sea-land partitioning template is matched with the original remote sensing image, sea surface target separation can be well carried out, sea surface vessel target detection is achieved quickly and accurately, the method is suitable for quick extraction of high-definition remote sensing images under a complex sea-land background, and the problem of invalid pixels caused by image correction in the prior art is avoided. The sea surface vessel target detection method can be widely used in a sea surface vessel target detection process in high-definition port remote sensing images in various civil and military fields.
Description
Technical field
The present invention relates to a kind of detection method, particularly about a kind of sea Ship Target Detection method of extra large land template automatic division method detecting based on sweep trace.
Background technology
Utilize remotely-sensed data to carry out Ship Target Detection and have huge realistic meaning in civilian and military field.Along with the continuous enhancing of data retrieval capabilities of remote sensing images and the raising of resolution, utilization and development remote sensing image interpretation technology are extremely urgent.Comprehensive domestic and international ongoing research, the naval vessel testing process based on remote sensing image mainly comprises pre-service (Hai Lu is cut apart, cloud and mist rejecting etc.), object candidate area extracts and false-alarm targets is rejected three key steps.Wherein to cut apart be important preprocessing means to extra large land template, and the auto Segmentation of extra large land template is the basis of harbour Ship Target identification.
The existing sea Ship Target Detection method based on extra large land template auto Segmentation, in the time realizing the separation of extra large land, generally all adopts based on Threshold segmentation or the method based on Texture Segmentation.In the time processing the abundant remote sensing images of high-resolution, background complexity, details, the extra large land template automatic division method based on Threshold segmentation exists that extra large land boundary alignment precision is low, the problems such as hole easily appear in sea and land area; And extra large land template auto Segmentation speed in the time of texture feature extraction based on Texture Segmentation is very slow, the problem that also have that positioning precision is poor simultaneously, hole easily appears in sea and land area.Therefore for high-resolution, extra large land background complexity, remote sensing images that details is abundant, existingly often can not obtain desirable result based on Threshold segmentation and the extra large land template dividing method based on Texture Segmentation, existing detection method can not realize the detection of the sea Ship Target of high definition remote sensing images under the background of Complex Sea land quickly and accurately simultaneously.
Summary of the invention
For the problems referred to above, the object of this invention is to provide a kind of sea Ship Target Detection method that can realize quickly and accurately high definition remote sensing images under the background of Complex Sea land.
For achieving the above object, the present invention takes following technical scheme: a kind of sea Ship Target Detection method, and it comprises the following steps:
1) adopt the extra large land template automatic division method detecting based on sweep trace, generate the Hai Lu onesize with former remote sensing images and cut apart template, it comprises: 1. input High Resolution Visible Light harbour remote sensing images to be detected, according to based on the relevant resampling disposal route of elemental area, carry out resampling processing; 2. for resampling harbour after treatment remote sensing images, adopt region, the sea Seed Points detection method based on sweep trace, detect region, sea Seed Points; 3. region, the sea initial seed point 2. obtaining according to step, utilize region growing algorithm to search the point that all gray-scale values meet the following conditions in connected region: this pixel grey scale with adjoin Seed Points gray scale difference value in 2 and with initial seed point gray scale difference value in 8, the pixel that mark meets this condition is region, sea, and other region is set to land area; 4. to step 3) region, extra large land that obtains carries out binaryzation, is set to 255 by land area gray-scale value, and sea area grayscale codomain is set to 0; 5. binary conversion treatment result is carried out to morphology processing, i.e. once corrosion operation and an expansive working, obtains harbour remote sensing images and adopts resampling Hai Lu after treatment to cut apart template; 6. the resampling 5. being obtained by step Hai Lu after treatment is cut apart to template, according to based on the relevant resampling disposal route interpolation of elemental area, obtain the Hai Lu onesize with former remote sensing images and cut apart template;
2) utilizing step 1) Hai Lu that obtains cuts apart template former harbour remote sensing images mated, obtain the minimum boundary rectangle of each connected region, it comprises: 1. Hai Lu is cut apart to the part that is labeled as land in template, the land area gray-scale value corresponding at former harbour remote sensing images is set to 0; And Hai Lu is cut apart to the part that is labeled as sea in template, the sea area grayscale value corresponding at former harbour remote sensing images remains unchanged, and obtains thus sea area image; 2. on the area image of sea, adopt region growing algorithm to carry out mark to seawater part; 3. by binaryzation, the seawater region gray-scale value of mark is set to 0, other parts gray-scale value is set to 255, obtains the image of sea object; 4. utilize connected region disposal route, obtain each candidate's sea-surface target connected region; 5. utilize the minimum boundary rectangle method of searching connected region, obtain the minimum boundary rectangle of each connected region;
3) to through step 2) obtain the minimum boundary rectangle of each connected region, screen, determine sea Ship Target, it comprises: the 1. parameter using width, length and the length breadth ratio parameter of minimum boundary rectangle as connected region; 2. the threshold restriction of setting three characteristic parameters of shape of width, length breadth ratio and the connected region of the minimum boundary rectangle of connected region, the sea separate targets connected region that meets above three screening parameter threshold restrictions is sea Ship Target.
Wherein step 1) step 2. in, the process of region, described detection sea Seed Points comprises the following steps: a, the resampling harbour after treatment remote sensing images of lining by line scan from top to bottom, first scan the first row; The number of inactive pixels point in b, this row of judgement scanning, wherein N is this row pixel count: if the number of inactive pixels point is more than or equal to N/10, this row is decided to be to inactive line, scanning next line, gets back to step b; If the number of inactive pixels point is less than N/10, this row gray scale is done to difference after by forward direction, current pixel point gray-scale value deducts the gray-scale value of a rear pixel, and the absolute value of its difference is difference value, and the difference value of every last pixel of row is set to 0; C, investigation difference result, in the result of difference, if difference value is less than 2, be set to 0; D, judge difference value is whether 0 contiguous pixels number exceedes N/5: if exceeded, think and occur continuous flat site, be region, sea, get pixel now as region, sea initial seed point, enter step 1) step 3.; Otherwise scanning next line, gets back to step b, until complete the scanning of last column.
Wherein step 3) step 1. or step 2. in, the form parameter F of described connected region is defined as follows: F=||B||
2/ 4 π A; Wherein, the girth that B is connected region, the area that A is connected region.
Wherein step 3) step 2. in, the threshold restriction of three characteristic parameters of shape of width, length breadth ratio and the connected region of the minimum boundary rectangle of described setting connected region, is the priori according to Ship Target.
The present invention is owing to taking above technical scheme, it has the following advantages: 1, the present invention has proposed a kind of extra large land template automatic division method detecting based on sweep trace in the process of sea Ship Target Detection, the present invention has applied the method for region, the sea detection Seed Points of high definition remote sensing images under the background of Complex Sea land in the method, the method in region, calmodulin binding domain CaM growing method mark sea, realize the method for extra large land template auto Segmentation by binaryzation and morphology processing, process the method for interpolation etc. by resampling, obtain rapidly and accurately the Hai Lu onesize with former remote sensing images and cut apart template.2, the present invention, by adopting the extra large land that obtains of the inventive method to divide mating of partiting template and former remote sensing images, can carry out better sea-surface target separation, and then realize rapidly and accurately the goal of the invention of sea of the present invention Ship Target Detection.3, the inventive method is not only applicable to the rapid extraction of the high definition remote sensing images under the background of Complex Sea land, and has evaded satellite image and proofreaied and correct the problem of bringing inactive pixels.The present invention can be widely used in the sea Ship Target Detection process in the remote sensing images of high definition harbour, various civilian and militaries field.
Brief description of the drawings
Fig. 1 is the schematic flow sheet that the present invention detects Ship Target
Fig. 2 is the present invention's High Resolution Visible Light to be detected harbour remote sensing images schematic diagram
Fig. 3 is the schematic flow sheet that the present invention is based on region, the sea Seed Points detection method of sweep trace
Fig. 4 is that the present invention obtains the Hai Lu onesize with former remote sensing images and cuts apart template schematic diagram
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in detail.
As shown in Figure 1, sea of the present invention Ship Target Detection method comprises the following steps (as shown in Figure 1):
1) adopt the extra large land template automatic division method detecting based on sweep trace, generate the Hai Lu onesize with former remote sensing images and cut apart template, it comprises:
1. input High Resolution Visible Light harbour remote sensing images (as shown in Figure 2) to be detected, based on the relevant resampling disposal route of elemental area, carry out resampling processing according to prior art;
2. for resampling harbour after treatment remote sensing images, adopt region, the sea Seed Points detection method based on sweep trace, detect region, sea Seed Points, its process following (as shown in Figure 3):
A, the resampling harbour after treatment remote sensing images of lining by line scan from top to bottom, first scan the first row;
The number of inactive pixels point in b, this row of judgement scanning (inactive pixels point refers to by satellite photo and proofreaies and correct some complete black area pixel point in the remote sensing images that cause):
If the number of inactive pixels point is more than or equal to N/10, this row is decided to be to inactive line, scanning next line, gets back to step b; Wherein N is this row pixel count;
If the number of inactive pixels point is less than N/10, this row gray scale is done to difference after by forward direction, it is the gray-scale value that current pixel point gray-scale value deducts a rear pixel, the absolute value of its difference is difference value, the difference value of every last pixel of row is set to 0, and (this is because for last pixel, there is no pixel, just there is no subtrahend yet, therefore directly the difference value of last point is set to 0 herein) thereafter;
C, investigation difference result, in the result of difference, if difference value is less than 2, be set to 0;
D, judge difference value is whether 0 contiguous pixels number exceedes N/5:
If exceeded, think and occur continuous flat site, be region, sea, get pixel now as region, sea initial seed point, enter next step;
Otherwise scanning next line, gets back to step b, until complete the scanning of last column.
3. region, the sea initial seed point 2. obtaining according to step, utilize region growing algorithm to search the point that all gray-scale values meet the following conditions in adjacent domain: this pixel grey scale with adjoin Seed Points gray scale difference value in 2 and with initial seed point gray scale difference value in 8, the pixel that mark meets this condition is region, sea, and other region is set to land area;
4. binaryzation is carried out in the region, extra large land 3. step being obtained, and is set to 255 by land area gray-scale value, and sea area grayscale value is set to 0;
5. binary conversion treatment result is carried out to conventional morphology processing, once corrosion operation and an expansive working, obtains adopting resampling Hai Lu after treatment to cut apart template;
6. the Hai Lu 5. being obtained by step is cut apart to template,, obtain the Hai Lu onesize with former remote sensing images and cut apart template (as shown in Figure 4) based on the relevant resampling disposal route interpolation of elemental area according to prior art.
2) utilizing step 1) Hai Lu that obtains cuts apart template former harbour remote sensing images mated, and obtains the minimum boundary rectangle of each connected region, and it comprises:
1. Hai Lu is cut apart to the part that is labeled as land in template, the land area gray-scale value corresponding at former harbour remote sensing images is set to 0; And Hai Lu is cut apart to the part that is labeled as sea in template, the sea area grayscale value corresponding at former harbour remote sensing images remains unchanged, and obtains thus sea area image;
2. on the area image of sea, adopt the region growing algorithm of known technology to carry out mark to seawater part;
3. by binaryzation, the seawater region gray-scale value of mark is set to 0, other parts gray-scale value is set to 255, obtains the image of sea object;
4. utilize the connected region disposal route of known technology, obtain each candidate's sea-surface target connected region;
5. utilize the minimum boundary rectangle method of searching connected region of known technology, obtain the minimum boundary rectangle of each connected region;
3) to process step 2) obtain the minimum boundary rectangle of each connected region, screen, to determine sea Ship Target, it comprises:
1. the parameter using width, length and the length breadth ratio parameter of minimum boundary rectangle as connected region;
2. according to the priori of Ship Target or alternate manner, the threshold restriction of setting three characteristic parameters of shape of width, length breadth ratio and the connected region of the minimum boundary rectangle of connected region, the sea separate targets connected region that meets above three screening parameter threshold restrictions is sea Ship Target.
The minimum boundary rectangle width of above-mentioned connected region, the yardstick information of length breadth ratio parameter reflection candidate target, the polymerism of the form parameter reflection candidate target region of connected region, form parameter F is defined as follows:
F＝||B||
2/4πA，
Wherein, B is the girth of connected region, A is the area of connected region, and form parameter F has reflected the compactedness in region to a certain extent, and it does not have dimension, change insensitive to yardstick, rotation, and the span that neither one is fixing, numerical value is larger, and shape is general not compacter regular, this parameter of choose reasonable, just can remove jagged doubtful boats and ships region.
Above-described embodiment is only for the present invention is described, every equivalents of carrying out on the basis of technical solution of the present invention and improvement, all should not get rid of outside protection scope of the present invention.
Claims (5)
1. a sea Ship Target Detection method, it comprises the following steps:
1) adopt the extra large land template automatic division method detecting based on sweep trace, generate the Hai Lu onesize with former remote sensing images and cut apart template, it comprises:
1. input High Resolution Visible Light harbour remote sensing images to be detected, according to based on the relevant resampling disposal route of elemental area, carry out resampling processing;
2. for resampling harbour after treatment remote sensing images, adopt region, the sea Seed Points detection method based on sweep trace, detect region, sea Seed Points;
3. region, the sea initial seed point 2. obtaining according to step, utilize region growing algorithm to search the point that all gray-scale values meet the following conditions in connected region: this pixel grey scale with adjoin Seed Points gray scale difference value in 2 and with initial seed point gray scale difference value in 8, the pixel that mark meets this condition is region, sea, and other region is set to land area;
4. to step 3) region, extra large land that obtains carries out binaryzation, is set to 255 by land area gray-scale value, and sea area grayscale codomain is set to 0;
5. binary conversion treatment result is carried out to morphology processing, i.e. once corrosion operation and an expansive working, obtains harbour remote sensing images and adopts resampling Hai Lu after treatment to cut apart template;
6. the resampling 5. being obtained by step Hai Lu after treatment is cut apart to template, according to based on the relevant resampling disposal route interpolation of elemental area, obtain the Hai Lu onesize with former remote sensing images and cut apart template;
2) utilizing step 1) Hai Lu that obtains cuts apart template former harbour remote sensing images mated, and obtains the minimum boundary rectangle of each connected region, and it comprises:
1. Hai Lu is cut apart to the part that is labeled as land in template, the land area gray-scale value corresponding at former harbour remote sensing images is set to 0; And Hai Lu is cut apart to the part that is labeled as sea in template, the sea area grayscale value corresponding at former harbour remote sensing images remains unchanged, and obtains thus sea area image;
2. on the area image of sea, adopt region growing algorithm to carry out mark to seawater part;
3. by binaryzation, the seawater region gray-scale value of mark is set to 0, other parts gray-scale value is set to 255, obtains the image of sea object;
4. utilize connected region disposal route, obtain each candidate's sea-surface target connected region;
5. utilize the minimum boundary rectangle method of searching connected region, obtain the minimum boundary rectangle of each connected region;
3) to process step 2) obtain the minimum boundary rectangle of each connected region, screen, determine sea Ship Target, it comprises:
1. the parameter using width, length and the length breadth ratio parameter of minimum boundary rectangle as connected region;
2. the threshold restriction of setting three characteristic parameters of shape of width, length breadth ratio and the connected region of the minimum boundary rectangle of connected region, the sea separate targets connected region that meets above three screening parameter threshold restrictions is sea Ship Target.
2. a kind of sea as claimed in claim 1 Ship Target Detection method, is characterized in that: wherein step 1) step 2. in, the process of region, described detection sea Seed Points comprises the following steps:
A, the resampling harbour after treatment remote sensing images of lining by line scan from top to bottom, first scan the first row;
The number of inactive pixels point in b, this row of judgement scanning, wherein N is this row pixel count:
If the number of inactive pixels point is more than or equal to N/10, this row is decided to be to inactive line, scanning next line, gets back to step b;
If the number of inactive pixels point is less than N/10, this row gray scale is done to difference after by forward direction, current pixel point gray-scale value deducts the gray-scale value of a rear pixel, and the absolute value of its difference is difference value, and the difference value of every last pixel of row is set to 0;
C, investigation difference result, in the result of difference, if difference value is less than 2, be set to 0;
D, judge difference value is whether 0 contiguous pixels number exceedes N/5:
If exceeded, think and occur continuous flat site, be region, sea, get pixel now as region, sea initial seed point, enter step 1) step 3.;
Otherwise scanning next line, gets back to step b, until complete the scanning of last column.
3. a kind of sea as claimed in claim 1 or 2 Ship Target Detection method, is characterized in that: wherein step 3) step 1. or step 2. in, the form parameter F of described connected region is defined as follows:
F＝||B||
2/4πA，
Wherein, the girth that B is connected region, the area that A is connected region.
4. a kind of sea as claimed in claim 1 or 2 Ship Target Detection method, it is characterized in that: wherein step 3) step 2. in, the threshold restriction of three characteristic parameters of shape of width, length breadth ratio and the connected region of the minimum boundary rectangle of described setting connected region is the priori according to Ship Target.
5. a kind of sea as claimed in claim 3 Ship Target Detection method, it is characterized in that: wherein step 3) step 2. in, the threshold restriction of three characteristic parameters of shape of width, length breadth ratio and the connected region of the minimum boundary rectangle of described setting connected region is the priori according to Ship Target.
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