CN105447208B - A kind of urban geography database automatic update method towards building - Google Patents
A kind of urban geography database automatic update method towards building Download PDFInfo
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- CN105447208B CN105447208B CN201610069960.2A CN201610069960A CN105447208B CN 105447208 B CN105447208 B CN 105447208B CN 201610069960 A CN201610069960 A CN 201610069960A CN 105447208 B CN105447208 B CN 105447208B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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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
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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
- G06V10/56—Extraction of image or video features relating to colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/176—Urban or other man-made structures
Abstract
The present invention relates to a kind of urban geography database automatic update method towards building.Include the following steps: step 1, extracts the building in the remote sensing image of areal difference phase respectively;Step 2, constant building is screened;Step 3, newly-increased building is extracted;Step 4, disappearance building is extracted;Step 5, reconstruction building is extracted;Step 6, geographical data bank is updated.Solves the problems, such as in urban geography database building low, the degree of automation with higher that updates that there are accuracys rate.It can be used for the investigation of city architecture against regulations object, reduce cost of labor.
Description
Technical field
The present invention relates to a kind of database update field, specifically a kind of urban geography database towards building is certainly
Dynamic update method.
Background technique
Building is the part for being easiest to change and need most update in urban geography database, and updates workload
It is huge.At present in the world, many experts and scholars make every effort to find building in the urban geography database fast and automatically changed from
Dynamic update method, although many methods have been proposed in researcher, these methods often lack strong mathematical theory
The foundation with digital model is derived, all multi-steps in specific implementation process still rely on artificial experience guidance, most methods
To data demand harshness, lack automatical and efficient extracting change information and analysis method, the main problems are as follows: (1)
It is harsh to data quality requirement;(2) algorithm accuracy is not high;(3) the degree of automation of variation detection is lower.
Summary of the invention
The present invention provides a kind of urban geography database automatic update method towards building, is made using remote sensing image
For data source, can overcome the problems, such as that current urban geography database update method exists, can simultaneously more new building it is newly-built,
The diversified forms such as dismounting and reconstruction, high degree of automation.
Technical solution used by target to realize the present invention is: method the following steps are included:
Step 1: extracting the building in the remote sensing image image1 and image2 of areal difference phase respectively, obtain
Object set BoldWith object set Bnew;
Step 2: screening constant building;
Step 3: one by one by object set BnewIn each building and object set BoldIn owned building carry out space pass
System calculates, and obtains newly-increased building A dded_B;
Step 4: one by one by object set BoldIn each building and object set BnewIn owned building carry out space pass
System calculates, and obtains disappearance building Disappear_B;
Step 5: calculating the spatial relationship of newly-increased building A dded_B and disappearance building Disappear_B, reconstructed
Building Reconstruction_B;
Step 6: the geodata of corresponding area is updated using Added_B, Disappear_B and Reconstruction_B
Building in library.
The building object can be mentioned automatically according to features such as shade, color, the edges that remote sensing image includes
It takes, can also directly utilize ready-made building database.
The constant building is judged by following formula:
Wherein, (X*,Y*) indicate building centre coordinate, R*Indicate the area of the minimum circumscribed rectangle of building, B1With
B2Respectively indicate the building in image1 and image2, ξ1、ξ2It is threshold value with K;It is respectively present when in image1 and image2
Building B1And B2, and its center and area ratio meet certain spatial relationship, then determine B1And B2For same building object.
The newly-increased building is judged by following formula:
I.e. when there are building Bs in image21If object set BoldThere is no any and B1Area quite and on position has
The building of overlapping, then determine B1To increase building newly.
The disappearance building is judged by following formula:
I.e. when there are building Bs in image12If object set BnewThere is no any and B2Area quite and on position has
The building of overlapping, then determine B2For disappearance building.
It asks the beneficial effects of the present invention are: solving in urban geography database building and updating there are accuracy rate is low
Topic, the degree of automation with higher.It can be used for the investigation of city architecture against regulations object, reduce cost of labor.
Detailed description of the invention
Fig. 1 is overall process flow figure of the invention.
Specific embodiment
It describes the specific embodiments of the present invention in detail with reference to the accompanying drawing.
In step 101, the remote sensing image image1 that remote sensing image to be processed is respectively the phase of areal two is inputted
And image2, it is high spatial resolution remote sense image, can be the satellite images such as Quick bird, World view or all kinds of
Aerial images, spatial resolution is at 1 meter or less.
In step 102, radiant correction, geometric correction, atmospheric correction and image are carried out to image1 and image2 respectively and matched
The pretreatment such as standard.
In step 103, the various features such as shade, color, the edge of image1 and image2 are extracted, and with Fusion Features side
Method carries out automatic building extraction, can also directly utilize ready-made building database.
In step 104, the judgement of constant building is carried out by following formula:
Wherein, (X*,Y*) indicate building centre coordinate, R*Indicate the area of the minimum circumscribed rectangle of building, B1With
B2Respectively indicate the building in image1 and image2, ξ1、ξ2It is threshold value with K;It is respectively present when in image1 and image2
Building B1And B2, and its center and area ratio meet certain spatial relationship, then determine B1And B2For same building object,
And by threshold xi1、ξ250,50 and 0.6 is respectively set to K.
In step 105, the judgement of newly-increased building A dded_B is carried out by following formula:
I.e. when there are building Bs in image21If object set BoldThere is no any and B1Area quite and on position has
The building of overlapping, then determine B1To increase building newly, and 0.6 is set by threshold k.
In step 106, disappearance building Disappear_B judgement is carried out by following formula:
I.e. when there are building Bs in image12If object set BnewThere is no any and B2Area quite and on position has
The building of overlapping, then determine B2For disappearance building, and 0.6 is set by threshold k.
In step 107, the disappearance building of the newly-increased building A dded_B extracted using step 105 and step 106 extraction
Disappear_B calculates the space overlap relationship of the two, extracts reconstruction building Reconstruction_B.
In step 108, more new building geographical data bank.
Claims (2)
1. a kind of urban geography database automatic update method towards building, it is characterised in that the following steps are included:
Step 1: extracting the building in the remote sensing image image1 and image2 of areal difference phase respectively, obtain object
Collect BoldWith object set Bnew;
Step 2: screening constant building;
The constant building is judged by following formula:
Wherein, (X*, Y*) indicates that the centre coordinate of building, R* indicate the area of the minimum circumscribed rectangle of building, B1And B2Point
Not Biao Shi building in image1 and image2, ξ1、ξ2It is threshold value with K;I.e. when being respectively present building in image1 and image2
Object B1And B2, and its center and area ratio meet certain spatial relationship, then determine B1And B2For same building object;
Step 3: one by one by object set BnewIn each building and object set BoldIn owned building carry out spatial relationship meter
It calculates, obtains newly-increased building A dded_B;
The spatial relationship is determined by following formula:
I.e. when there are building Bs in image21If object set BoldThere is no any and B1Area quite and on position has overlapping
Building, then determine B1To increase building newly;Step 4: one by one by object set BoldIn each building and object set BnewIn
Owned building carry out spatial relationship calculating, obtain disappearance building Disappear_B;
The spatial relationship is determined by following formula:
I.e. when there are building Bs in image12If object set BnewThere is no any and B2Area quite and on position has overlapping
Building, then determine B2For disappearance building;Step 5: calculating newly-increased building A dded_B and disappearance building
The spatial relationship of Disappear_B obtains reconstruction building Reconstruction_B;
The spatial relationship is the space overlap relationship of newly-increased building A dded_B and disappearance building Disappear_B;
Step 6: in the geographical data bank for updating corresponding area using Added_B, Disappear_B and Reconstruction_B
Building.
2. a kind of urban geography database automatic update method towards building according to claim 1, feature exist
Refer to that the shade in remote sensing image, color, edge feature are automatically extracted in building, or directly utilizes ready-made building
Database.
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CN107730496A (en) * | 2017-10-26 | 2018-02-23 | 武汉大学 | A kind of multi-temporal remote sensing image building change detecting method based on image blocks |
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US5604534A (en) * | 1995-05-24 | 1997-02-18 | Omni Solutions International, Ltd. | Direct digital airborne panoramic camera system and method |
CN103646027A (en) * | 2013-10-30 | 2014-03-19 | 广东省数字广东研究院 | Geographic spatial database updating method and system |
CN104766341A (en) * | 2015-05-04 | 2015-07-08 | 福建师范大学 | Detection method for construction change of remote-sensing image based on DSM and kernel density estimation |
CN104794723A (en) * | 2015-05-04 | 2015-07-22 | 福建师范大学 | Remote-sensing image building location detection method based on probability |
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Patent Citations (4)
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US5604534A (en) * | 1995-05-24 | 1997-02-18 | Omni Solutions International, Ltd. | Direct digital airborne panoramic camera system and method |
CN103646027A (en) * | 2013-10-30 | 2014-03-19 | 广东省数字广东研究院 | Geographic spatial database updating method and system |
CN104766341A (en) * | 2015-05-04 | 2015-07-08 | 福建师范大学 | Detection method for construction change of remote-sensing image based on DSM and kernel density estimation |
CN104794723A (en) * | 2015-05-04 | 2015-07-22 | 福建师范大学 | Remote-sensing image building location detection method based on probability |
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城市地理信息数据中建筑物的半自动化更新;曾钰等;《地理空间信息技术与应用——中国科协2002年学术年会测绘论文集》;20021231;第357-361页 |
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