CN107421514A - A kind of refuse landfill range monitoring method - Google Patents
A kind of refuse landfill range monitoring method Download PDFInfo
- Publication number
- CN107421514A CN107421514A CN201710472629.XA CN201710472629A CN107421514A CN 107421514 A CN107421514 A CN 107421514A CN 201710472629 A CN201710472629 A CN 201710472629A CN 107421514 A CN107421514 A CN 107421514A
- Authority
- CN
- China
- Prior art keywords
- refuse landfill
- high definition
- central point
- rgb value
- satellite image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C15/00—Surveying instruments or accessories not provided for in groups G01C1/00 - G01C13/00
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
Abstract
The present invention is intended to provide a kind of refuse landfill range monitoring method, including：1）Refuse landfill scope is extracted based on the high definition satellite image earliest by the age；2）By refuse landfill scope structure face, extract its central point and record area information；3）Obtain other time refuse landfill high definition satellite images and correct coordinate；4）By satellite image sampling and grid arrow conversion, rgb value corresponding to pixel is recorded；5）The rgb value of central point is calculated with the vector data after conversion by refuse landfill central point；6）Carry out closing on search with the rgb value of the pixel, when difference records adjacent pixel in limitation；7）The adjacent pixels value that search obtains is merged into the coverage for obtaining refuse landfill；8）Above refuse landfill covering data are counted to obtain the change information of refuse landfill according to the time.The technology of the present invention has the characteristics of simple principle, automaticity, is suitable for the monitoring of city refuse landfill range.
Description
Technical field
The present invention relates to remote sensing image processing and Geographical Information Sciences field, and in particular to a kind of refuse landfill scope becomes
Change monitoring method.
Background technology
Existing refuse landfill range monitoring uses manned surveys' method, and the long cost of process is high, and exists not
Certainty；And using aviation image and unmanned plane image etc., it usually needs more subjobs could gather sufficient amount of data, into
This height and complex operation.
The content of the invention
It is an object of the invention to provide a kind of refuse landfill range monitoring method.The present invention will be in the past with artificial
Survey the subjective monitoring pattern being defined and be changed to the automation objective detecting new model based on high definition satellite image, propose a kind of complete
New refuse landfill range monitoring method.This method utilizes high definition satellite image, the conversion of grid arrow and spatial analysis, automatically
Refuse landfill scope is extracted, obtains its variation tendency.Technical scheme is as follows：
1st, a kind of refuse landfill range monitoring method of the invention, comprises the following steps：
1）Based on the high definition satellite image earliest by the age, refuse landfill scope is extracted；
2）By refuse landfill scope structure face, extract its central point and record area information；
3）Other time refuse landfill high definition satellite images are obtained, are corrected it under unified coordinate system；
4）Satellite image is sampled into unified resolution and carries out grid arrow conversion, records rgb value corresponding to pixel；
5）Refuse landfill central point is carried out into space with the vector data after conversion asks friendship to obtain the rgb value of central point；
6）Carry out closing on search with the rgb value of the pixel, when difference records adjacent pixel in limitation；
7）Obtained adjacent pixels value merging will be searched for, obtain the coverage of refuse landfill；
8）Special statistics is carried out to above refuse landfill covering data according to the time, obtains the change information of refuse landfill.
2nd, above-mentioned steps 1) comprise the following steps：
11) according to high definition satellite image acquisition time, it is determined that earliest history image；
12) according to relevant information, refuse landfill particular location is found in image；
13）The scope line of artificial collection refuse landfill；
3rd, above-mentioned steps 2) comprise the following steps：
21) by refuse landfill scope line structure face；
22）Refuse landfill central point is extracted, records corresponding time refuse landfill area information；
4th, above-mentioned step 3）Comprise the following steps：
31）If image over the years does not have same coordinate, on the basis of the image earliest by the age, uniformly it is corrected to by same place
Under one coordinate system；
32) if image coordinate over the years is unified, enter in next step；
5th, above-mentioned steps 4）Comprise the following steps：
41）By image uniform sampling over the years to unified resolution, the selection of resolution ratio covers model according to original resolution and image
Depending on enclosing；
42）Grid arrow conversion is carried out to the image of resolution ratio after reunification, obtains 256 binary values of each pixel RGB values；
6th, above-mentioned step 5）Comprise the following steps：
51）Refuse landfill central point is subjected to space with the vector data after conversion and asks friendship；
52）Vector polygon where central point is extracted, records the rgb value after quantizing；
7th, above-mentioned step 6）Comprise the following steps：
61）The data obtained to vector quantization image merge, if rgb value is the same and adjacent, merge the planar data；
62）On the basis of the polygon where central point pixel, using the rgb value after quantizing as condition, to other polygons pair
The RGB answered asks poor, creates field and records difference；
63）According to condition setting, SQL query obtains polygon of the difference in setting range；
8th, above-mentioned step 7）Comprise the following steps：
71）The polygon being identified is merged, if Existential Space proximity relations, merges above polygon；
72）Spatial analysis obtains the polygon after being merged corresponding to each refuse landfill, deletes other unnecessary polygons, obtains
The coverage of refuse landfill；
9th, above-mentioned step 8）Comprise the following steps：
81）By the data of refuse landfill over the years according to time-sequencing；
82）According to thematic statistical demand, refuse landfill range information is exported；
The refuse landfill range monitoring method of the present invention is preferred for artificial works such as airport, refuse landfill and water
Domain etc. has the atural object range of special spectrum feature.The present invention becomes the subjective monitoring pattern being defined in the past by artificial actual measurement
Automation objective detecting new model more based on high definition satellite image, it is suitable for change of each big city to similar special topic and supervises
Survey.
Brief description of the drawings
Fig. 1 is a kind of schematic flow sheet of refuse landfill range monitoring method of the present invention.
Embodiment
The present invention is elaborated with reference to embodiment.
Embodiment 1
The present embodiment refuse landfill range monitoring method, comprises the following steps：
Exemplified by the present embodiment city refuse landfill variation monitoring, operation platform is the operating systems of Windows 7 on PC, geographical
Development of information system platform is Beijing hypergraph geographical information platform software 5.3.3 versions.History image includes 2002 years, 2004
Year, 2005 years, 2007 years, 2008 years, 2010 years, 2012 years, 2013 years, 2014 years and 2015 years
10 annual history image data altogether, data original resolution are not less than 2 meters.Comprise the following steps that：
1）Based on the high definition satellite image earliest by the age, refuse landfill scope is extracted；
2）By refuse landfill scope structure face, extract its central point and record area information；
3）Other time refuse landfill high definition satellite images are obtained, are corrected it under unified coordinate system；
4）Satellite image is sampled into unified resolution and carries out grid arrow conversion, records rgb value corresponding to pixel；
5）Refuse landfill central point is carried out into space with the vector data after conversion asks friendship to obtain the rgb value of central point；
6）Carry out closing on search with the rgb value of the pixel, when difference records adjacent pixel in limitation；
7）Obtained adjacent pixels value merging will be searched for, obtain the coverage of refuse landfill；
8）Special statistics is carried out to above refuse landfill covering data according to the time, obtains the change information of refuse landfill.
2nd, above-mentioned steps 1) comprise the following steps：
11) according to high definition satellite image acquisition time, it is determined that history image was 2002 years earliest；
12) according to relevant information, refuse landfill particular location is found in 2002 annual images；
13）By hypergraph geographical information platform, the artificial scope line for gathering refuse landfill；
3rd, above-mentioned steps 2) comprise the following steps：
21) by hypergraph geographical information platform, by refuse landfill scope line structure face；
22）By hypergraph geographical information platform, extract refuse landfill central point, create field CollectionDate and
RegionArea, record corresponding garbage loading embeading field time and area information；
4th, above-mentioned step 3）Comprise the following steps：
31）If image over the years does not have same coordinate, on the basis of the image earliest by the age, uniformly it is corrected to by same place
Under one coordinate system；
32) if image coordinate over the years is unified, enter in next step；
5th, above-mentioned steps 4）Comprise the following steps：
41）By hypergraph geographical information platform, by image uniform sampling over the years to unified resolution, resolution ratio acquiescence selection is 2
Rice；
42）By hypergraph geographical information platform, grid arrow conversion is carried out to the image of resolution ratio after reunification, obtains each pixel RGB
256 binary values of value；
6th, above-mentioned step 5）Comprise the following steps：
51）By hypergraph geographical information platform, refuse landfill central point and other time vector datas after conversion are carried out
Ask friendship in space；
52）Vector polygon where central point is extracted, records the rgb value after quantizing；
7th, above-mentioned step 6）Comprise the following steps：
61）By hypergraph geographical information platform, other time data obtained to vector quantization image merge, if rgb value one
Sample and adjacent, then merge the planar data；
62）By hypergraph geographical information platform, on the basis of the polygon where central point pixel, with the rgb value after quantizing
For condition, poor is asked to RGB corresponding to other polygons, field is created and records difference；
63）According to condition setting, SQL query obtains polygon of the difference in setting range；
8th, above-mentioned step 7）Comprise the following steps：
71）By hypergraph geographical information platform, the polygon being identified is merged, if Existential Space proximity relations,
Merge above polygon；
72）By hypergraph geographical information platform, spatial analysis obtains the polygon after being merged corresponding to each refuse landfill, deletes
Except other unnecessary polygons, the coverage of refuse landfill is obtained；
9th, above-mentioned step 8）Comprise the following steps：
81）By the data of refuse landfill over the years according to time-sequencing；
82）By hypergraph geographical information platform, according to thematic statistical demand, refuse landfill range information is exported.
Claims (3)
1. a kind of refuse landfill range monitoring method, it is characterised in that comprise the following steps：
1）The each period high definition satellite image of refuse landfill is obtained, shadow based on the high definition satellite image earliest by the time
Picture, and by manually extracting refuse landfill scope to it；By refuse landfill scope structure face, based on extracting its central point
Central point, and record area information；
2）The high definition satellite image of other times section is uniformly arrived under the coordinate system of base image, resolution ratio is subjected to grid after reunification
Arrow conversion, obtains rgb value corresponding to each pixel；
3）Base center point is subjected to space with the vector data after conversion and asks friendship, obtains rgb value corresponding to the point of base center；With
The rgb value carries out closing on search, extracts the pixel in setting range with the difference of the rgb value, and the pixel forms more
Side shape is as the alternative scope of refuse landfill；
4）The alternative scope of refuse landfill that search obtains is merged, obtains the rubbish of the high definition satellite image of the period
The coverage of landfill yard, and extract the center of refuse landfill of its central point as the high definition satellite image of the period
Point；
5）Circulation carries out step 2) -4), the covering model of the refuse landfill of the high definition satellite image of each period is obtained respectively
Enclose and its central point；
6）The central point of the refuse landfill of the high definition satellite image of each period is ranked up according to the time, obtains rubbish
Landfill yard off-centring variation diagram；The scope of the refuse landfill of the high definition satellite image of each period is arranged according to the time
Sequence, obtain refuse landfill range figure.
2. refuse landfill range monitoring method as claimed in claim 1, it is characterised in that：
Described step 2）Comprise the following steps：
It is unified by same place on the basis of base image if the high definition satellite image of other times section does not have same coordinate
It is corrected under a coordinate system.
3. refuse landfill range monitoring method as claimed in claim 1, it is characterised in that：
Described step 3）The acquisition methods of the middle alternative scope of refuse landfill are specially：
a）Carry out closing on search with base center point rgb value, if the same and adjacent pixel of rgb value be present, in merging into
Heart point polygon；
b）On the basis of central point polygon, difference range is set, searches for the difference of surrounding and base center point rgb value positioned at poor
It is worth the pixel of scope, forms alternative scope polygon, garbage loading embeading is formed by central point polygon and alternative scope polygon
The alternative scope in field.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710472629.XA CN107421514A (en) | 2017-06-21 | 2017-06-21 | A kind of refuse landfill range monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710472629.XA CN107421514A (en) | 2017-06-21 | 2017-06-21 | A kind of refuse landfill range monitoring method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107421514A true CN107421514A (en) | 2017-12-01 |
Family
ID=60426013
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710472629.XA Pending CN107421514A (en) | 2017-06-21 | 2017-06-21 | A kind of refuse landfill range monitoring method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107421514A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111723757A (en) * | 2020-06-28 | 2020-09-29 | 北京隆普智能科技有限公司 | Method and system for monitoring refuse landfill |
| CN117523404B (en) * | 2024-01-08 | 2024-03-22 | 深圳大学 | Method, device, terminal and storage medium for monitoring dynamic change of storage yard |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101408941A (en) * | 2008-10-20 | 2009-04-15 | 中国科学院遥感应用研究所 | Method for multi-dimension segmentation of remote sensing image and representation of segmentation result hierarchical structure |
| CN101937079A (en) * | 2010-06-29 | 2011-01-05 | 中国农业大学 | Remote sensing image variation detection method based on region similarity |
| CN102254319A (en) * | 2011-04-19 | 2011-11-23 | 中科九度(北京)空间信息技术有限责任公司 | Method for carrying out change detection on multi-level segmented remote sensing image |
| CN105894513A (en) * | 2016-04-01 | 2016-08-24 | 武汉大学 | Remote sensing image change detection method and remote sensing image change detection system taking into consideration spatial and temporal variations of image objects |
-
2017
- 2017-06-21 CN CN201710472629.XA patent/CN107421514A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101408941A (en) * | 2008-10-20 | 2009-04-15 | 中国科学院遥感应用研究所 | Method for multi-dimension segmentation of remote sensing image and representation of segmentation result hierarchical structure |
| CN101937079A (en) * | 2010-06-29 | 2011-01-05 | 中国农业大学 | Remote sensing image variation detection method based on region similarity |
| CN102254319A (en) * | 2011-04-19 | 2011-11-23 | 中科九度(北京)空间信息技术有限责任公司 | Method for carrying out change detection on multi-level segmented remote sensing image |
| CN105894513A (en) * | 2016-04-01 | 2016-08-24 | 武汉大学 | Remote sensing image change detection method and remote sensing image change detection system taking into consideration spatial and temporal variations of image objects |
Non-Patent Citations (2)
| Title |
|---|
| 张晖: "遥感图像区域变化检测技术的研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 王俊杰 等: "1990－2015 年广西廉州湾红树林遥感动态监测", 《森林与环境学报》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111723757A (en) * | 2020-06-28 | 2020-09-29 | 北京隆普智能科技有限公司 | Method and system for monitoring refuse landfill |
| CN111723757B (en) * | 2020-06-28 | 2021-10-15 | 乌鲁木齐市京环环境能源有限公司 | Method and system for monitoring refuse landfill |
| CN117523404B (en) * | 2024-01-08 | 2024-03-22 | 深圳大学 | Method, device, terminal and storage medium for monitoring dynamic change of storage yard |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ke et al. | A review of methods for automatic individual tree-crown detection and delineation from passive remote sensing | |
| CN106780091B (en) | Agricultural disaster information remote sensing extraction method based on vegetation index time-space statistical characteristics | |
| Xu et al. | Wheat ear counting using K-means clustering segmentation and convolutional neural network | |
| CN112115198B (en) | Urban remote sensing intelligent service platform | |
| Wulder et al. | Comparison of airborne and satellite high spatial resolution data for the identification of individual trees with local maxima filtering | |
| Meneguzzo et al. | Mapping trees outside forests using high-resolution aerial imagery: a comparison of pixel-and object-based classification approaches | |
| CN103150631B (en) | Automatic article management method and system thereof based on images match | |
| CN109800697B (en) | Transformer target detection and appearance defect identification method based on VGG-net style migration | |
| Deo et al. | Using Landsat time-series and LiDAR to inform aboveground forest biomass baselines in northern Minnesota, USA | |
| CN107084688A (en) | A kind of crop area Dynamic Change by Remote Sensing monitoring method based on plot yardstick | |
| CN110889327B (en) | Intelligent detection method for sewage outlet around water area based on thermal infrared image | |
| Veljanovski et al. | Object-based image analysis of VHR satellite imagery for population estimation in informal settlement Kibera-Nairobi, Kenya | |
| CN111008641B (en) | Power transmission line tower external force damage detection method based on convolutional neural network | |
| CN103090946B (en) | Method and system for measuring single fruit tree yield | |
| CN111667183A (en) | Method and system for monitoring cultivated land quality | |
| CN107421514A (en) | A kind of refuse landfill range monitoring method | |
| CN112579845A (en) | Industrial big data display geographic information system platform | |
| CN116486289A (en) | Gas pipeline high-consequence area identification method driven by multi-source data and knowledge | |
| CN115468917A (en) | Method and system for extracting crop information of farmland plot based on high-resolution remote sensing | |
| CN110986889A (en) | High-voltage substation panoramic monitoring method based on remote sensing image technology | |
| Popescu et al. | Estimation of biomass components by airborne laser scanning | |
| Yin et al. | Object-based larch tree-crown delineation using high-resolution satellite imagery | |
| CN112836614A (en) | High-resolution remote sensing image classification method based on residual error network and transfer learning | |
| Zhang et al. | Indicators for separating undesirable and well-delineated tree crowns in high spatial resolution images | |
| CN105760421A (en) | Land-use type classifying method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171201 |