CN106126563A - A kind of remotely-sensed data Mono temporal all standing search method based on space secondary filter - Google Patents
A kind of remotely-sensed data Mono temporal all standing search method based on space secondary filter Download PDFInfo
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- CN106126563A CN106126563A CN201610431492.9A CN201610431492A CN106126563A CN 106126563 A CN106126563 A CN 106126563A CN 201610431492 A CN201610431492 A CN 201610431492A CN 106126563 A CN106126563 A CN 106126563A
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Abstract
The invention discloses a kind of remotely-sensed data Mono temporal all standing search method based on space secondary filter, the method is as required, the all image datas retrieved are carried out weight combination sequence, by remote sensing image and the spatial information of area-of-interest, carry out space secondary filter screening, it is thus achieved that the Mono temporal all standing remote sensing image data of area-of-interest.The inventive method can filter out Mono temporal all standing remotely-sensed data collection from mass remote sensing data automatically, efficiently and accurately, compensate for that Traditional Man screening efficiency is low, easily cause the defects such as omission.
Description
Technical field
The present invention relates to remote sensing application field, especially a kind of mass remote sensing data retrieval screening technique.
Background technology
The development calculated along with earth observation, satellite remote-sensing image data volume has reached PB level, and remote sensing technology is many in China
Aspect is widely used.Mono temporal all standing retrieval refers to carry out specific region phase all standing of remotely-sensed data
Data combined sorting, is one of the key step of most of mass remote sensing data application.At present, built both at home and abroad various distant
Sense data service platform, the remotely-sensed data download platform such as the most external NASA LAADS WEB, GLCF, USGS, domestic include
China Resource Satellite Applied Center's data service platform, geographical spatial data cloud, Zhong Ke remote sensing company remote sensing fairground data in
The hearts etc., all similar automatiom information retrieval instrument or a method of not providing, and meanwhile, remotely-sensed data tissue, index, manage pertinent literature
This respect is rarely had to study.Traditional method is that artificial visual is selected satisfactory remote sensing image and is combined, in current magnanimity
Under remotely-sensed data background, the most extremely inefficient, it is also easy to cause the problems such as omission.
Summary of the invention
The problem existed for existing method, it is an object of the invention to provide a kind of from mass remote sensing data automatically,
The method filtering out the Mono temporal all standing remote sensing image of area-of-interest quickly and accurately.
For achieving the above object, the present invention " retrieve by a kind of remotely-sensed data Mono temporal all standing based on space secondary filter
Method ":
The all image datas retrieved are carried out weight combination sequence, by remote sensing image and the space of area-of-interest
Information, carries out space secondary filter screening to the remote sensing image data collection after sequence and target area, it is thus achieved that area-of-interest
Mono temporal all standing remote sensing image data collection.
Carrying out remote sensing image data eigenvalue definition weight sequencing by user's request, acquiescence is with the remote sensing data acquiring time just
Closely preferentially it is ranked up, carries out high cloud amount data with remote sensing image data cloud amount feature and reject or weight depreciation.
Data for the first time retrieval is in from mass remote sensing data, filtering screening obtains whole qualified target area
Remotely-sensed data, second time retrieval is again to carry out remotely-sensed data and target area by once crossing after filter data carries out weight combination sequence
Territory carries out subspace segmentation filtration.
When remotely-sensed data and target area carry out spatial filtering, by target area spatial dimension and remotely-sensed data scope every time
Space intersection part cutting, using the target area spatial dimension after cutting as the target area spatial dimension screened next time,
Till target area spatial dimension is sky, filter process terminates, and by through specific filtration resistance compared with crossing remotely-sensed data collection make
Return for filter result collection.
The inventive method by area-of-interest is carried out quick, accurately split, it is possible to it is carried out automatic, quick, accurate
Really filter out Mono temporal choosing and cover remotely-sensed data, compensate for the defect of Traditional Man screening.
Accompanying drawing explanation
Fig. 1 is Method And Principle figure；
Fig. 2 is method implementing procedure figure；
Detailed description of the invention
For given area-of-interest, find out qualified all remote sensing image datas, it is carried out weight combination
Sequence, it is judged that the geometric objects of every scape image finds out area-of-interest with the space geometry relation of area-of-interest, circulation
With the difference set of image space geometric object, it is carried out postsearch screening filtration such that it is able to obtain Mono temporal quickly and accurately complete
The remotely-sensed data covered.The principle of the method particularly as follows: assume that the geometric objects of area-of-interest is arbitrary polygon P,
The geometric objects of image to be screened is that (0 ＜ i ＜ n+1, n are the sum retrieving the remote sensing image obtained to polygon Qi, by referring to
Fixed condition sorts), grey parts R represents the common factor of P Yu Qi, i.e. R={X | X ∈ P, and X ∈ Qi}, Ti represents the difference set of P Yu Qi,
I.e. Ti={X | X ∈ P, and}.When the difference set of Ti Yu Qi is empty, representing that P is divided complete, i.e. area-of-interest is by all
Cover, gather Qi (Qi ∩ Ti！=NULL) it is the result set of a Mono temporal all standing, as shown in Figure 1.
The present invention is embodied as flow process as shown in Figure 2.
First, area-of-interest being denoted as area of space S, remote sensing image to be screened is denoted as area of space Ai (0 ＜=i ＜
N, n are the sum of the remote sensing image that retrieval obtains), the remote sensing image retrieved is put in data set ds.
Further, data set ds is sorted by weight combination condition: Sort (ds).This method is given tacit consent to temporally, sensor
Successively sequence.
Further, the remotely-sensed data area of space Ai after circulation takes sequence successively, if S is ∩ Ai！=Null is corresponding by Ai
Remote sensing image data put in new data set tmpDS, take S1=S-(S ∩ Ai) as new area-of-interest i.e. S；No
Then, continue to take off a scape remote sensing image data to be screened, until S is all traveled through for empty or data set ds.
The false code implemented is as follows:
Wherein, tmpDS represents the retrieval set after elapsed time priority ordering, and resultDs obtains after representing retrieval
Result set, G1 represents the geometric objects of area-of-interest, and G2 represents the space geometry of image data to be screened in data set
Object, resDs represents the result set of Mono temporal all standing.
Claims (4)
1. a remotely-sensed data Mono temporal all standing search method based on space secondary filter, it is characterised in that to retrieving
All image datas carry out weight combination sequence, by remote sensing image and the spatial information of area-of-interest, after sequence
Remote sensing image data collection and target area carry out space secondary filter screening, it is thus achieved that the Mono temporal all standing remote sensing of area-of-interest
Image data collection.
2. the method for claim 1, it is characterised in that carry out remote sensing image data eigenvalue definition power by user's request
Reordering, acquiescence was the most preferentially ranked up with the remote sensing data acquiring time, carried out high cloud with remote sensing image data cloud amount feature
Amount data are rejected or weight depreciation.
3. the method for claim 1, it is characterised in that data retrieval for the first time is sieves from mass remote sensing data
Choosing obtains remotely-sensed data in whole qualified target areas, and second time retrieval is to carry out weight combination by once crossing filter data
Again carry out remotely-sensed data after sequence and carry out subspace segmentation filtration with target area.
4. method as claimed in claim 3, it is characterised in that when remotely-sensed data and target area carry out spatial filtering every time,
By target area spatial dimension and remotely-sensed data ranged space intersection cutting, the target area spatial dimension after cutting is made
For the target area spatial dimension screened next time, till target area spatial dimension is sky, filter process terminates, and will
Through specific filtration resistance compared with crossing remotely-sensed data collection as filter result collection return.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107291801A (en) * | 2017-05-12 | 2017-10-24 | 北京四维新世纪信息技术有限公司 | A kind of Mono temporal all standing remotely-sensed data search method compensated based on grid |
| CN108446288A (en) * | 2017-08-01 | 2018-08-24 | 北京四维新世纪信息技术有限公司 | A kind of an all standing search modes and method towards remote sensing tile data |
| CN109542932A (en) * | 2018-11-28 | 2019-03-29 | 中国科学院遥感与数字地球研究所 | The selected remotely-sensed data collection of Landsat-8 satellite customizes screening technique |
| CN110008297A (en) * | 2019-03-26 | 2019-07-12 | 武汉大学 | A kind of optimal covering satellite image screening technique based on geographic grid |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107291801A (en) * | 2017-05-12 | 2017-10-24 | 北京四维新世纪信息技术有限公司 | A kind of Mono temporal all standing remotely-sensed data search method compensated based on grid |
| CN107291801B (en) * | 2017-05-12 | 2024-04-19 | 北京四维新世纪信息技术有限公司 | Single-phase full-coverage remote sensing data retrieval method based on grid compensation |
| CN108446288A (en) * | 2017-08-01 | 2018-08-24 | 北京四维新世纪信息技术有限公司 | A kind of an all standing search modes and method towards remote sensing tile data |
| CN108446288B (en) * | 2017-08-01 | 2023-10-17 | 北京四维新世纪信息技术有限公司 | One-time full-coverage retrieval method for remote sensing tile data |
| CN109542932A (en) * | 2018-11-28 | 2019-03-29 | 中国科学院遥感与数字地球研究所 | The selected remotely-sensed data collection of Landsat-8 satellite customizes screening technique |
| CN109542932B (en) * | 2018-11-28 | 2020-12-15 | 中国科学院空天信息创新研究院 | Customized screening method for Landsat-8 satellite selection remote sensing data set |
| CN110008297A (en) * | 2019-03-26 | 2019-07-12 | 武汉大学 | A kind of optimal covering satellite image screening technique based on geographic grid |
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