CN108986116A - A kind of mangrove extracting method and system based on remote sensing image - Google Patents
A kind of mangrove extracting method and system based on remote sensing image Download PDFInfo
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Abstract
The present invention discloses a kind of mangrove extracting method and system based on remote sensing image.This method comprises: obtaining the remote sensing images of area to be studied；Utilize the water area of remote sensing images identification area to be studied；It is starting point to each water area outer expandable certain distance using the edge of each water area, determines land and water boundary region；Pseudo color composing is carried out to land and water boundary region using pseudo color composing technology, obtains land and water boundary false color image；False color image is split according to pixel similarity, obtains multiple segmented images；Multiple cut zone are carried out to the division of vegetation pattern and non-vegetation pattern, removal belongs to the region of non-vegetation pattern, obtains multiple vegetation area images；Using mangrove textural characteristics and topological characteristic by multiple vegetation area image classifications be mangrove image and non-mangrove image.Method and system of the invention can be improved the accuracy of mangrove spatial extraction.
Description
Technical field
The present invention relates to remote sensing technology fields, more particularly to a kind of mangrove extracting method based on remote sensing image and are
System.
Background technique
Mangrove, which refers to, is grown in the torrid zone, subtropical zone low energy coast intertidal zone top, is flooded by the leaching of periodical tidewater, is planted with mangrove
The woody biocoene of tidal beach wetland of evergreen shrubs or arbor composition based on object.The species of composition include that draft, liana are red
Tree.Mangrove is grown on the beach shoal on land Yu ocean Heat resources, is the land special ecological system excessive to ocean.Due to red
The woods have the effects that windproof bank protection, firm coastline, purify water, and the distribution for studying mangrove is wet to effective reinforcement mangrove
Ground conservative management and ecological recovery are significant.
Traditional mangrove spatial extraction method can not accurately extract mangrove spatial information merely with spectral information.
Summary of the invention
It is empty to improve mangrove for the object of the present invention is to provide a kind of mangrove extracting method and system based on remote sensing image
Between the accuracy extracted.
To achieve the above object, the present invention provides following schemes:
A kind of mangrove extracting method based on remote sensing image, comprising:
Obtain the remote sensing images of area to be studied；
The water area of the area to be studied is identified using the remote sensing images；
It is starting point to each water area outer expandable certain distance using the edge of each water area, determines land and water boundary
Region；
Pseudo color composing is carried out to the land and water boundary region using pseudo color composing technology, obtains land and water boundary pseudo color coding hologram
Image；
The false color image is split according to pixel similarity, obtains multiple segmented images；
Multiple cut zone are carried out to the division of vegetation pattern and non-vegetation pattern, removal belongs to non-vegetation pattern
Region obtains multiple vegetation area images；
Feature, textural characteristics and topological characteristic are counted by multiple plants using count feature, LSWI of the NDVI of mangrove
Mangrove image and non-mangrove image are classified as by area image.
Optionally, the water area that the area to be studied is identified using the remote sensing images, is specifically included:
Band math is carried out to the remote sensing images using MNDWI algorithm, obtains MNDWI image；
The optimal threshold that water body and non-water body divide is calculated using Otsu algorithm；
Binary conversion treatment is carried out to the MNDWI image using the optimal threshold, obtains water area and non-water body area
Domain.
Optionally, described that the false color image is split according to pixel similarity, multiple segmented images are obtained, are had
Body includes:
The adjacent pixel of the similarity of texture, brightness and color within a preset range is divided into the same region.
The mangrove extraction system based on remote sensing image that invention additionally discloses a kind of, comprising:
Module is obtained, for obtaining the remote sensing images of area to be studied；
Identifying water boy module, for identifying the water area of the area to be studied using the remote sensing images；
Region expansion module, for certain to each water area outer expandable by starting point of the edge of each water area
Distance determines land and water boundary region；
Pseudo color composing module, for carrying out pseudo color coding hologram conjunction to the land and water boundary region using pseudo color composing technology
At obtaining land and water boundary false color image；
Divide module and obtains multiple segmented images for being split to the false color image according to pixel similarity；
Vegetation pattern screening module, for multiple cut zone to be carried out to stroke of vegetation pattern and non-vegetation pattern
Point, removal belongs to the region of non-vegetation pattern, obtains multiple vegetation area images；
Mangrove identification module counts and feature, textural characteristics and opens up for count feature, LSWI of the NDVI using mangrove
It is mangrove image and non-mangrove image that feature, which is flutterred, by multiple vegetation area image classifications.
Optionally, the identifying water boy module, specifically includes:
Band math unit obtains MNDWI figure for carrying out band math to the remote sensing images using MNDWI algorithm
Picture；
Threshold value determination unit, for calculating the optimal threshold that water body and non-water body divide using Otsu algorithm；
Binarization unit obtains water body for carrying out binary conversion treatment to the MNDWI image using the optimal threshold
Region and non-water area.
Optionally, the segmentation module, specifically includes:
Similar pixel division unit, for the adjacent pixel by the similarity of texture, brightness and color within a preset range
It is divided into the same region.
The specific embodiment provided according to the present invention, the invention discloses following technical effects: of the invention based on remote sensing
The mangrove extracting method and system of image, by identification water body so that it is determined that land and water boundary region, is closed then in conjunction with pseudo color coding hologram
At technology and similar pixel segmentation removal nonvegetated area domain, mangrove is finally identified from vegetation area using the feature of mangrove
Woods.The technologies such as present invention combination identifying water boy, region extend out, pseudo color composing technology and similar pixel are divided extract mangrove,
Improve the accuracy of mangrove spatial extraction.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is that the present invention is based on the method flow diagrams of the mangrove extracting method of remote sensing image；
Fig. 2 is that the present invention is based on the system construction drawings of the mangrove extraction system of remote sensing image.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It is empty to improve mangrove for the object of the present invention is to provide a kind of mangrove extracting method and system based on remote sensing image
Between the accuracy extracted.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real
Applying mode, the present invention is described in further detail.
Fig. 1 is that the present invention is based on the method flow diagrams of the mangrove extracting method of remote sensing image.
Referring to Fig. 1, being somebody's turn to do the mangrove extracting method based on remote sensing image includes:
Step 101: obtaining the remote sensing images of area to be studied.The remote sensing images are Landsat remote sensing images.
Step 102: the water area of the area to be studied is identified using the remote sensing images；The step 102 is specific to wrap
It includes:
Since Landsat remote sensing images are multi-band image, wave is carried out to the remote sensing images using MNDWI algorithm
Section operation, obtains MNDWI image；The optimal threshold that water body and non-water body divide is calculated using Otsu algorithm；Using described optimal
Threshold value carries out binary conversion treatment to the MNDWI image, obtains water area and non-water area.
In above-mentioned steps, the mathematic(al) representation of MNDWI algorithm are as follows:
MNDWI=(Green-MIR)/(Green+MIR)
Wherein Green is green light band, and MIR is middle infrared band.
Step 103: being starting point to each water area outer expandable certain distance using the edge of each water area, determine
Land and water boundary region.The determination process of the extended range are as follows: pass through needed for the water body to continent first in acquisition available data
Mean breadth of the regions such as sandy beach, wetland and intertidal zone on from water body to the direction in continent；Determine the equipment for obtaining remote sensing images
With the remote sensing distance between the physical location of the remote sensing images on earth；The average width is determined according to the remote sensing distance
The distance on the remote sensing images is spent, thus the distance that is expanded.
Step 104: pseudo color composing being carried out to the land and water boundary region using pseudo color composing technology, obtains land and water friendship
Boundary's false color image.The resolution capability of image can be enhanced in pseudo color composing technology.
Step 105: the false color image being split according to pixel similarity, obtains multiple segmented images.Specifically
Are as follows: the adjacent pixel of the similarity of texture, brightness and color within a preset range is divided into the same region.
Step 106: multiple cut zone being carried out to the division of vegetation pattern and non-vegetation pattern, removal belongs to non-plant
By the region of type, multiple vegetation area images are obtained.
Step 107: using the NDVI of mangrove count feature, LSWI count feature, textural characteristics and topological characteristic will be more
A vegetation area image classification is mangrove image and non-mangrove image.
Fig. 2 is that the present invention is based on the system construction drawings of the mangrove extraction system embodiment of remote sensing image.
Referring to fig. 2, it is somebody's turn to do the mangrove extraction system based on remote sensing image, comprising:
Module 201 is obtained, for obtaining the remote sensing images of area to be studied.
Identifying water boy module 202, for identifying the water area of the area to be studied using the remote sensing images.It is described
Identifying water boy module 202 specifically includes band math unit, threshold value determination unit and binarization unit, wherein band math list
Member obtains MNDWI image for carrying out band math to the remote sensing images using MNDWI algorithm；Threshold value determination unit is used
In the optimal threshold for calculating water body and the division of non-water body using Otsu algorithm；Binarization unit, for utilizing the optimal threshold
Binary conversion treatment is carried out to the MNDWI image, obtains water area and non-water area.
Region expansion module 203, for being starting point to each water area outer expandable using the edge of each water area
Certain distance determines land and water boundary region.
Pseudo color composing module 204, for carrying out pseudo color coding hologram to the land and water boundary region using pseudo color composing technology
Synthesis, obtains land and water boundary false color image.
Divide module 205 and obtains multiple segmentation figures for being split to the false color image according to pixel similarity
Picture.The segmentation module 205, comprising: similar pixel division unit.The similar pixel division unit is used for texture, brightness
It is divided into the same region with the adjacent pixel of the similarity of color within a preset range.
Vegetation pattern screening module 206, for multiple cut zone to be carried out vegetation pattern and non-vegetation pattern
It divides, removal belongs to the region of non-vegetation pattern, obtains multiple vegetation area images.
Mangrove identification module 207 counts feature, textural characteristics for count feature, LSWI of the NDVI using mangrove
With topological characteristic by multiple vegetation area image classifications be mangrove image and non-mangrove image.
The specific embodiment provided according to the present invention, the invention discloses following technical effects: of the invention based on remote sensing
The mangrove extracting method and system of image, by identification water body so that it is determined that land and water boundary region, is closed then in conjunction with pseudo color coding hologram
At technology and similar pixel segmentation removal nonvegetated area domain, mangrove is finally identified from vegetation area using the feature of mangrove
Woods.The technologies such as present invention combination identifying water boy, region extend out, pseudo color composing technology and similar pixel are divided extract mangrove,
Improve the accuracy of mangrove spatial extraction.
For the system disclosed in the embodiment, since it is corresponded to the methods disclosed in the examples, so the ratio of description
Relatively simple, reference may be made to the description of the method.
Used herein a specific example illustrates the principle and implementation of the invention, and above embodiments are said
It is bright to be merely used to help understand method and its core concept of the invention；At the same time, for those skilled in the art, foundation
Thought of the invention, there will be changes in the specific implementation manner and application range.In conclusion the content of the present specification is not
It is interpreted as limitation of the present invention.
Claims (6)
1. a kind of mangrove extracting method based on remote sensing image characterized by comprising
Obtain the remote sensing images of area to be studied；
The water area of the area to be studied is identified using the remote sensing images；
It is starting point to each water area outer expandable certain distance using the edge of each water area, determines land and water boundary area
Domain；
Pseudo color composing is carried out to the land and water boundary region using pseudo color composing technology, obtains land and water boundary pseudo color coding hologram figure
Picture；
The false color image is split according to pixel similarity, obtains multiple segmented images；
Multiple cut zone are carried out to the division of vegetation pattern and non-vegetation pattern, removal belongs to the area of non-vegetation pattern
Domain obtains multiple vegetation area images；
Feature, textural characteristics and topological characteristic are counted by multiple vegetation regions using count feature, LSWI of the NDVI of mangrove
Area image is classified as mangrove image and non-mangrove image.
2. a kind of mangrove extracting method based on remote sensing image according to claim 1, which is characterized in that the utilization
The remote sensing images identify the water area of the area to be studied, specifically include:
Band math is carried out to the remote sensing images using MNDWI algorithm, obtains MNDWI image；
The optimal threshold that water body and non-water body divide is calculated using Otsu algorithm；
Binary conversion treatment is carried out to the MNDWI image using the optimal threshold, obtains water area and non-water area.
3. a kind of mangrove extracting method based on remote sensing image according to claim 1, which is characterized in that described to institute
It states false color image to be split according to pixel similarity, obtains multiple segmented images, specifically include:
The adjacent pixel of the similarity of texture, brightness and color within a preset range is divided into the same region.
4. a kind of mangrove extraction system based on remote sensing image characterized by comprising
Module is obtained, for obtaining the remote sensing images of area to be studied；
Identifying water boy module, for identifying the water area of the area to be studied using the remote sensing images；
Region expansion module, for being starting point to each one spacing of water area outer expandable using the edge of each water area
From determining land and water boundary region；
Pseudo color composing module is obtained for carrying out pseudo color composing to the land and water boundary region using pseudo color composing technology
To land and water boundary false color image；
Divide module and obtains multiple segmented images for being split to the false color image according to pixel similarity；
Vegetation pattern screening module is gone for multiple cut zone to be carried out to the division of vegetation pattern and non-vegetation pattern
Except the region for belonging to non-vegetation pattern, multiple vegetation area images are obtained；
Mangrove identification module, it is special for count feature, textural characteristics and the topology of feature, LSWI that count of the NDVI using mangrove
Multiple vegetation area image classifications are mangrove image and non-mangrove image by sign.
5. a kind of mangrove extraction system based on remote sensing image according to claim 1, which is characterized in that the water body
Identification module specifically includes:
Band math unit obtains MNDWI image for carrying out band math to the remote sensing images using MNDWI algorithm；
Threshold value determination unit, for calculating the optimal threshold that water body and non-water body divide using Otsu algorithm；
Binarization unit obtains water area for carrying out binary conversion treatment to the MNDWI image using the optimal threshold
With non-water area.
6. a kind of mangrove extraction system based on remote sensing image according to claim 1, which is characterized in that the segmentation
Module specifically includes:
Similar pixel division unit, for dividing the adjacent pixel of the similarity of texture, brightness and color within a preset range
Into the same region.
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| CN112686995A (en) * | 2020-12-25 | 2021-04-20 | 浙江弄潮儿智慧科技有限公司 | Mangrove intelligence supervisory systems |
| WO2021077847A1 (en) * | 2019-10-23 | 2021-04-29 | 北京建筑大学 | Seawater-polluted area identification method based on high-resolution remote-sensing image, and device |
| CN113033474A (en) * | 2021-04-14 | 2021-06-25 | 海南大学 | Mangrove forest resource remote sensing interpretation method based on fusion algorithm and model |
| CN113468951A (en) * | 2021-05-20 | 2021-10-01 | 华东师范大学 | Method for detecting mangrove landform based on Landsat satellite remote sensing |
| CN113850706A (en) * | 2021-11-30 | 2021-12-28 | 阿里云计算有限公司 | Regional carbon measuring and calculating method, display platform, cloud server and storage medium |
| CN117011555A (en) * | 2023-10-07 | 2023-11-07 | 广东海洋大学 | Mangrove forest ecological detection method based on remote sensing image recognition |
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| CN117011555B (en) * | 2023-10-07 | 2023-12-01 | 广东海洋大学 | Mangrove forest ecological detection method based on remote sensing image recognition |
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