CN110362642A - Kenenchyma, search method and device when Dike-pond modes towards streetscape image - Google Patents
Kenenchyma, search method and device when Dike-pond modes towards streetscape image Download PDFInfo
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Abstract
The present invention relates to technical field of geographic information, kenenchyma, search method and device when disclosing the Dike-pond modes towards streetscape image, by the ground state image sequence for obtaining streetscape image in default geographic range；According to the ground state image sequence, differentiation judgement is carried out to the POI information point of the streetscape image sequence in the corresponding geographic range of the ground state image sequence, to identify, there is the region changed in every streetscape image POI information point in streetscape image sequence, generates sub-image data corresponding with region of variation；Generate the index coding of the sub-image data；By the storage corresponding with the sub-image data of index coding.The present invention realizes the streetscape image space-time uniformity storage of POI information point, improves the precision of convenience and POI information the point inquiry to history streetscape data query.Present invention optimizes the data store organisations of more phase space-time streetscape images, reduce data redudancy, improve the spatiotemporal data update efficiency of city streetscape.
Description
Technical field
The present invention relates to technical field of geographic information, more particularly to the Dike-pond modes space-time group towards streetscape image
It knits, search method and device.
Background technique
Streetscape image is a kind of total factor information of urban landscape based on mobile platform acquisition, is the information of urban landscape
Model, and be widely applied in industries such as urban planning, city management, mapping, territory, traffic.More phase acquisitions
Streetscape image has higher similitude, data redundancy larger, causes data search efficiency lower.In view of the above problems, existing skill
In art, recall precision is mainly promoted using various new searching algorithm etc..But space-time streetscape image is not considered in the prior art
Total factor, the features such as space and time difference is smaller, and the contrast relationship with Urban Typical Object element (such as POI information point).
Summary of the invention
Kenenchyma, search method and device when the present invention provides a kind of Dike-pond modes towards streetscape image solve
The total factor of space-time streetscape image, space and time difference are smaller etc. not to be considered to the Optimization of Information Retrieval method of streetscape image in the prior art
Feature, and the technical issues of contrast relationship with Urban Typical Object element.
The purpose of the present invention is what is be achieved through the following technical solutions:
A kind of Dike-pond modes space-time method for organizing towards streetscape image, comprising:
Obtain the ground state image sequence of streetscape image in default geographic range, wherein the ground state image sequence is described
Geographic range is in corresponding streetscape image sequence when metastable state；
According to the ground state image sequence, to the streetscape image sequence in the corresponding geographic range of the ground state image sequence
POI information point carry out differentiation judgement, to identify what changing occurred in every streetscape image POI information point in streetscape image sequence
Region generates sub-image data corresponding with region of variation；
Generate the index coding of the sub-image data, wherein the index coding includes streetscape image sequence mark, becomes
Change the temporal information, region of variation number, each region of variation central point of the corresponding streetscape image in region in corresponding streetscape shadow
The size of pixel coordinate and each region of variation as in；
By the storage corresponding with the sub-image data of index coding.
Dike-pond modes Space-time Search method towards streetscape image, comprising:
Obtain query argument, wherein the inquiry includes streetscape image sequence mark, temporal information；
According to the query argument, corresponding ground state image sequence and ground state difference image sequence are obtained, wherein ground state difference shadow
As sequence is a series of sub-image data relative to the changed POI information point of ground state image sequence, wherein the sub- shadow
As temporal information, the region of variation number, Mei Gebian of data streetscape image corresponding with streetscape image sequence mark, region of variation
Change the corresponding storage of size of pixel coordinate, each region of variation of the regional center point in corresponding streetscape image；
According to ground state image sequence and ground state difference image sequence, constructs and export and believe with streetscape image sequence mark, time
Cease corresponding streetscape image sequence.
Dike-pond modes space-time tissue device towards streetscape image, comprising:
Module is obtained, for obtaining the ground state image sequence of streetscape image in default geographic range, wherein the ground state shadow
As sequence is that the geographic range is in corresponding streetscape image sequence when metastable state；
Computing module is used for according to the ground state image sequence, in the corresponding geographic range of the ground state image sequence
The POI information point of streetscape image sequence carry out differentiation judgement, to identify in streetscape image sequence every streetscape image POI letter
There is the region changed in breath point, generates sub-image data corresponding with region of variation；
Index module, the index for generating the sub-image data encode, wherein the index coding includes streetscape shadow
As sequence identifier, the temporal information of the corresponding streetscape image of region of variation, region of variation number, each region of variation central point exist
The size of pixel coordinate and each region of variation in corresponding streetscape image；
Memory module, for the index to be encoded storage corresponding with the sub-image data.
Dike-pond modes Space-time Search device towards streetscape image, comprising:
Parameter acquisition module, for obtaining query argument, wherein the inquiry includes streetscape image sequence mark, time
Information；
Enquiry module, for obtaining corresponding ground state image sequence and ground state difference image sequence according to the query argument,
Wherein, ground state difference image sequence is a series of sub-image data relative to the changed POI information point of ground state image sequence,
Wherein, the temporal information of sub-image data streetscape image corresponding with streetscape image sequence mark, region of variation, variation zone
Pixel coordinate in corresponding streetscape image of domain number, each region of variation central point, the size of each region of variation are corresponding
Storage；
Output module, for constructing and exporting and streetscape image sequence according to ground state image sequence and ground state difference image sequence
Column mark, the corresponding streetscape image sequence of temporal information.
Kenenchyma, search method and device when the present invention provides the Dike-pond modes towards streetscape image, pass through acquisition
The ground state image sequence of streetscape image in default geographic range；According to the ground state image sequence, to the ground state image sequence
The POI information point of streetscape image sequence in corresponding geographic range carries out differentiation judgement, to identify in streetscape image sequence
There is the region changed in every streetscape image POI information point, generates sub-image data corresponding with region of variation；Generate the son
The index of image data encodes；By the storage corresponding with the sub-image data of index coding.The present invention realizes POI information
The streetscape image space-time uniformity storage of point improves convenience and POI information the point inquiry to history streetscape data query
Precision.Present invention optimizes the data store organisations of more phase space-time streetscape images, reduce data redudancy, improve city
The spatiotemporal data update efficiency of streetscape.
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 obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the stream of the Dike-pond modes space-time method for organizing towards streetscape image provided in the embodiment of the present invention one
Cheng Tu；
Fig. 2 is that the section in the embodiment of the present invention one divides schematic diagram；
Fig. 3 is the schematic diagram of the identification region of variation provided in the embodiment of the present invention one；
Fig. 4 is the streetscape image store structural schematic diagram in the embodiment of the present invention one；
Fig. 5 is the stream of the Dike-pond modes Space-time Search method towards streetscape image provided in the embodiment of the present invention two
Cheng Tu；
Fig. 6 is a kind of Dike-pond modes space-time tissue device towards streetscape image provided in the embodiment of the present invention three
Structural schematic diagram；
Fig. 7 is the knot of the Dike-pond modes Space-time Search device towards streetscape image provided in the embodiment of the present invention four
Structure schematic diagram.
Specific embodiment
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.
Embodiment one
The embodiment of the present invention one provides the Dike-pond modes space-time method for organizing towards streetscape image, as shown in Figure 1,
Include:
Step 101, the ground state image sequence for obtaining streetscape image in default geographic range；
Wherein, the ground state image sequence is that the geographic range is in corresponding streetscape image sequence when metastable state
Column.Ground state image sequence represents a kind of original state, and ground state image sequence is defined as when urban landscape being relatively steady by the present invention
Determine state (such as: without build on a large scale when state) when streetscape image sequence.Geographic range can for region (including
Multiple streets, section) or a section.
Step 102, according to the ground state image sequence, to the streetscape in the corresponding geographic range of the ground state image sequence
The POI information point of image sequence carries out differentiation judgement, and to identify, every streetscape image POI information is pointed out in streetscape image sequence
The region now changed generates sub-image data corresponding with region of variation；
Step 103, the index coding for generating the sub-image data；
Wherein, the index coding includes the time letter of streetscape image sequence mark, the corresponding streetscape image of region of variation
The pixel coordinate and each region of variation of breath, region of variation number, each region of variation central point in corresponding streetscape image
Size；
The index is encoded storage corresponding with the sub-image data by step 104.
Wherein, in order to fully consider streetscape by road acquire and several times more phases acquisition characteristic, as shown in Figure 2 use
Ground state image sequence based on roadway segment is independently determined mode, i.e., the ground state image sequence of streetscape image can be in city scope
It is individually determined by road section.It is not as the ground state image sequence of following figure Road section S1 and S2 can not be a phase in the same time
Mutually acquire in the same time.Method based on roadway segment, increases granularity of division, avoids when survey region only has a ground state
Data redundancy when image sequence.Therefore, when the default geographic range includes a plurality of section, the step 101 specifically may be used
To include:
The corresponding ground state image data of different sections of highway is divided into according to section, wherein the ground state image data is described
Section is in corresponding streetscape image data when metastable state.
Step 102 can specifically include:
Step 102-1, the first streetscape shadow in the ground state image sequence is obtained respectively using general change detection algorithm
The change information of the second streetscape image in streetscape image sequence in picture and the corresponding geographic range of the ground state image sequence；
Step 102-2, according to change information, the different information of the first streetscape image and the second streetscape image is obtained, according to
The different information obtains the information of variation POI information point, wherein the different information may include change in shape, position change
Situations such as changing, disappearing；
Step 102-3, according to the information of variation POI information point, according to preset region shape type, to generate described the
There is the region changed in POI information point in one streetscape image, generates sub-image data corresponding with region of variation.
In order to better illustrate the principle of step 102, it is illustrated below:
As shown in figure 3, for two different moments acquisition same streetscape image, wherein 2013.05 acquisition from base
Some streetscape image in state image sequence, 2015.05 acquisition it is a certain in streetscape image sequence to be processed
A streetscape image, it is assumed that only having a POI information point in the streetscape image is the electric pole beside road, utilizes step 102
Method detects the front and back streetscape image variation of the POI information point, it is found that the POI information point has variation, later can frame
The region for selecting variation (will include at least a changed POI information point in the region of variation, specific size, shape can
Not do specific requirement, determines according to actual conditions), sub-image is generated according to the region of variation, and generates the sub-image
Corresponding coding, coding form are (T, sv, [u, v], w, h), wherein T indicates that tense, sv are that streetscape image sequence identifies, [u,
V] indicate that pixel coordinate of the region of variation center in streetscape image, w and h respectively indicate the width and height of sub-image, specifically
The sub-image is represented by (201505, [182,92], 50,120).
Correspondingly, to a streetscape image, there may be the POI information of multiple variations points, for each individual variation zone
Domain can be encoded by above-mentioned method, and region of variation is arranged successively, such as: in T1 tense streetscape image sequence
Some streetscape image in sv1 has n1A region of variation, then it is encoded to [T1,sv1,n1,imglen1,([u0,v0],w0,h0,
len0),([u1,v1],w1,h1,len1)……].Wherein, imglen1 indicates that the data of streetscape image region of variation sub-image are total
Length, len0、len1Indicate the data length of each region of variation sub-image, imglen1Numerical value be len0、len1Deng it is total
With.
As shown in figure 4, the storage for Dike-pond modes establishes two texts to improve data search efficiency respectively
Part: index file and data file realize tissue and the storage of Dike-pond modes, and left side is index file in figure, and right side is number
According to file.
The POI object disparity for having more phase streetscape images of usual space-time streetscape image is smaller, is suitble to establish image difference text
Part；POI object and streetscape image have contrast relationship, are suitble to the characteristics of establishing relevance, be applicable in very much the embodiment of the present invention one
The Dike-pond modes space-time method for organizing towards streetscape image provided.
The Dike-pond modes space-time method for organizing towards streetscape image that the embodiment of the present invention one provides, it is pre- by obtaining
If the ground state image sequence of streetscape image in geographic range；According to the ground state image sequence, to the ground state image sequence pair
The POI information point of streetscape image sequence in the geographic range answered carries out differentiation judgement, every in streetscape image sequence to identify
It opens streetscape image POI information point and the region changed occurs, generate sub-image data corresponding with region of variation；Generate the sub- shadow
As the index of data encodes；By the storage corresponding with the sub-image data of index coding.The present invention realizes POI information point
The storage of streetscape image space-time uniformity, improve the essence to the inquiry of the convenience and POI information point of history streetscape data query
Accuracy.Present invention optimizes the data store organisations of more phase space-time streetscape images, reduce data redudancy, improve city street
The spatiotemporal data update efficiency of scape.
Embodiment two
Second embodiment of the present invention provides the Dike-pond modes Space-time Search methods towards streetscape image, as shown in figure 5,
Include:
Step 501 obtains query argument；
Wherein, the inquiry includes streetscape image sequence mark, temporal information；
Step 502, according to the query argument, obtain corresponding ground state image sequence and ground state difference image sequence；
Wherein, ground state difference image sequence is a series of sons relative to the changed POI information point of ground state image sequence
Image data, wherein the time of sub-image data streetscape image corresponding with streetscape image sequence mark, region of variation believes
Breath, region of variation number, each region of variation central point pixel coordinate in corresponding streetscape image, each region of variation
The corresponding storage of size；
Step 503, according to ground state image sequence and ground state difference image sequence, construct and export and streetscape image sequence mark
Know, the corresponding streetscape image sequence of temporal information.
Dike-pond modes Space-time Search method provided by Embodiment 2 of the present invention towards streetscape image is looked by obtaining
Ask parameter；According to the query argument, corresponding ground state image sequence and ground state difference image sequence are obtained, wherein ground state difference shadow
As sequence is a series of sub-image data relative to the changed POI information point of ground state image sequence；According to ground state image
Sequence and ground state difference image sequence construct and export streetscape image sequence corresponding with streetscape image sequence mark, temporal information.
It only needs to load the part changed in streetscape image sequence the invention enables user, reduces the data volume size of inquiry load,
The mode for optimizing data query, improves search efficiency.
Embodiment three
The embodiment of the present invention three provides the Dike-pond modes space-time tissue device towards streetscape image, as described in Figure 6,
Include:
Module 610 is obtained, for obtaining the ground state image sequence of streetscape image in default geographic range, wherein the base
State image sequence is that the geographic range is in corresponding streetscape image sequence when metastable state；
Computing module 620, for according to the ground state image sequence, geographic range corresponding to the ground state image sequence
The POI information point of interior streetscape image sequence carries out differentiation judgement, to identify every streetscape image POI in streetscape image sequence
There is the region changed in information point, generates sub-image data corresponding with region of variation；
Index module 630, the index for generating the sub-image data encode, wherein the index coding includes street
Scape image sequence mark, the temporal information of the corresponding streetscape image of region of variation, region of variation number, each region of variation center
The size of pixel coordinate and each region of variation of the point in corresponding streetscape image；
Memory module 640, for the index to be encoded storage corresponding with the sub-image data.
Wherein, module 610 is obtained, is also used to divide when the default geographic range includes a plurality of section according to section
For the corresponding ground state image data of different sections of highway, wherein the ground state image data is that the section is in metastable state
When corresponding streetscape image data.
Computing module 620 includes:
Edge detection unit 621, for being obtained in the ground state image sequence respectively using general change detection algorithm
The second streetscape image in streetscape image sequence in first streetscape image and the corresponding geographic range of the ground state image sequence
Change information；
Recognition unit 622 is compared, according to change information, obtains the difference letter of the first streetscape image and the second streetscape image
Breath obtains the information of variation POI information point according to the different information；
Sub-image generation unit 623, for the information according to variation POI information point, according to preset region shape type,
There is the region changed to generate POI information point in the first streetscape image, generates sub-image number corresponding with region of variation
According to.
Example IV
The embodiment of the present invention four provides the Dike-pond modes Space-time Search device towards streetscape image, as shown in fig. 7,
Include:
Parameter acquisition module 710, for obtaining query argument, wherein it is described inquiry include streetscape image sequence mark, when
Between information；
Enquiry module 720, for obtaining corresponding ground state image sequence and ground state difference image sequence according to the query argument
A series of column, wherein ground state difference image sequence is sub-image numbers relative to the changed POI information point of ground state image sequence
According to, wherein the temporal information of sub-image data streetscape image corresponding with streetscape image sequence mark, region of variation becomes
Change the size of pixel coordinate in corresponding streetscape image of areal, each region of variation central point, each region of variation
Corresponding storage.
Output module 730, for constructing and exporting and streetscape image according to ground state image sequence and ground state difference image sequence
The corresponding streetscape image sequence of sequence identifier, temporal information.
Through the above description of the embodiments, those skilled in the art can be understood that the present invention can be by
Software adds the mode of required hardware platform to realize, naturally it is also possible to all implemented by hardware, but in many cases before
Person is more preferably embodiment.Based on this understanding, technical solution of the present invention contributes to background technique whole or
Person part can be embodied in the form of software products, which can store in storage medium, such as
ROM/RAM, magnetic disk, CD etc., including some instructions are used so that a computer equipment (can be personal computer, service
Device or the network equipment etc.) execute method described in certain parts of each embodiment of the present invention or embodiment.
The present invention is described in detail above, specific case used herein is to the principle of the present invention and embodiment party
Formula is expounded, and the above description of the embodiment is only used to help understand the method for the present invention and its core ideas；Meanwhile it is right
In those of ordinary skill in the art, according to the thought of the present invention, change is had in specific embodiments and applications
Place, in conclusion the contents of this specification are not to be construed as limiting the invention.
Claims (8)
1. the Dike-pond modes space-time method for organizing towards streetscape image characterized by comprising
Obtain the ground state image sequence of streetscape image in default geographic range, wherein the ground state image sequence is the geography
Range is in corresponding streetscape image sequence when metastable state；
According to the ground state image sequence, to the streetscape image sequence in the corresponding geographic range of the ground state image sequence
POI information point carries out differentiation judgement, and to identify, the area changed occurs in every streetscape image POI information point in streetscape image sequence
Domain generates sub-image data corresponding with region of variation；
Generate the index coding of the sub-image data, wherein the index coding includes streetscape image sequence mark, variation zone
The temporal information of the corresponding streetscape image in domain, region of variation number, each region of variation central point are in corresponding streetscape image
Pixel coordinate and each region of variation size；
By the storage corresponding with the sub-image data of index coding.
2. the Dike-pond modes space-time method for organizing according to claim 1 towards streetscape image, which is characterized in that when
When the default geographic range includes a plurality of section, the ground state image data step for obtaining streetscape image in default geographic range
Suddenly include:
The corresponding ground state image data of different sections of highway is divided into according to section, wherein the ground state image data is the section
Corresponding streetscape image data when in metastable state.
3. the Dike-pond modes space-time method for organizing according to claim 2 towards streetscape image, which is characterized in that institute
It states according to the ground state image sequence, to the POI of the streetscape image sequence in the corresponding geographic range of the ground state image sequence
Information point carries out differentiation judgement, and to identify, the region changed occurs in every streetscape image POI information point in streetscape image sequence
The step of include:
Obtain the first streetscape image and the ground state shadow in the ground state image sequence respectively using general change detection algorithm
As the change information of the second streetscape image in the streetscape image sequence in the corresponding geographic range of sequence；
According to change information, the different information of the first streetscape image and the second streetscape image is obtained, is obtained according to the different information
Take the information of variation POI information point；
According to the information of variation POI information point, according to preset region shape type, to generate in the first streetscape image
There is the region changed in POI information point, generates sub-image data corresponding with region of variation.
4. the Dike-pond modes Space-time Search method towards streetscape image characterized by comprising
Obtain query argument, wherein the inquiry includes streetscape image sequence mark, temporal information；
According to the query argument, corresponding ground state image sequence and ground state difference image sequence are obtained, wherein ground state difference image sequence
It is classified as a series of sub-image data relative to the changed POI information point of ground state image sequence, wherein the sub-image number
According to temporal information, the region of variation number, each variation zone of streetscape image corresponding with streetscape image sequence mark, region of variation
The corresponding storage of size of pixel coordinate, each region of variation of the domain central point in corresponding streetscape image；
According to ground state image sequence and ground state difference image sequence, constructs and export and streetscape image sequence mark, temporal information pair
The streetscape image sequence answered.
5. the Dike-pond modes space-time tissue device towards streetscape image characterized by comprising
Module is obtained, for obtaining the ground state image sequence of streetscape image in default geographic range, wherein the ground state image sequence
It is classified as the geographic range and is in corresponding streetscape image sequence when metastable state；
Computing module is used for according to the ground state image sequence, to the street in the corresponding geographic range of the ground state image sequence
The POI information point of scape image sequence carries out differentiation judgement, to identify every streetscape image POI information point in streetscape image sequence
There is the region changed, generates sub-image data corresponding with region of variation；
Index module, the index for generating the sub-image data encode, wherein the index coding includes streetscape image sequence
Mark, the temporal information of the corresponding streetscape image of region of variation, region of variation number, each region of variation central point are arranged in correspondence
Streetscape image in pixel coordinate and each region of variation size；
Memory module, for the index to be encoded storage corresponding with the sub-image data.
6. the Dike-pond modes space-time tissue device according to claim 5 towards streetscape image, which is characterized in that when
When the default geographic range includes a plurality of section, the acquisition module is also used to be divided into different sections of highway according to section corresponding
Ground state image data, wherein the ground state image data is that the section is in corresponding streetscape image when metastable state
Data.
7. the Dike-pond modes space-time tissue device according to claim 6 towards streetscape image, which is characterized in that institute
Stating computing module includes:
Edge detection unit, for obtaining the first streetscape in the ground state image sequence respectively using general change detection algorithm
The variation of the second streetscape image in streetscape image sequence in image and the corresponding geographic range of the ground state image sequence is believed
Breath；
Recognition unit is compared, according to change information, the different information of the first streetscape image and the second streetscape image is obtained, according to institute
State the information that different information obtains variation POI information point；
Sub-image generation unit, for the information according to variation POI information point, according to preset region shape type, to generate
There is the region changed in POI information point in the first streetscape image, generates sub-image data corresponding with region of variation.
8. the Dike-pond modes Space-time Search device towards streetscape image characterized by comprising
Parameter acquisition module, for obtaining query argument, wherein the inquiry includes streetscape image sequence mark, temporal information；
Enquiry module, for obtaining corresponding ground state image sequence and ground state difference image sequence according to the query argument,
In, ground state difference image sequence is a series of sub-image data relative to the changed POI information point of ground state image sequence,
In, the temporal information of sub-image data streetscape image corresponding with streetscape image sequence mark, region of variation, region of variation
Pixel coordinate in corresponding streetscape image of number, each region of variation central point, each region of variation size correspondence deposit
Storage；
Output module, for constructing and exporting and streetscape image sequence mark according to ground state image sequence and ground state difference image sequence
Know, the corresponding streetscape image sequence of temporal information.
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| WAYHE: ""POI分析之城市功能区识别与时空变化"", 《HTTPS://WWW.JIANSHU.COM/P/7ED4D76AC610》, 2 April 2018 (2018-04-02), pages 1 - 5 * |
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