A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining
In this paper, data mining theory is applied to carry out the field of the pretreatment of remote sensing images. These results show that it is an effective method for carrying out the pretreatment of low-precision remote sensing images by multisource image matching algorithm with SIFT operator, geo...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2013/693194 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832568178738200576 |
|---|---|
| author | Yun Zhang Xueming Li Jianli Zhang Derui Song |
| author_facet | Yun Zhang Xueming Li Jianli Zhang Derui Song |
| author_sort | Yun Zhang |
| collection | DOAJ |
| description | In this paper, data mining theory is applied to carry out the field of the pretreatment of remote sensing images. These results show that it is an effective method for carrying out the pretreatment of low-precision remote sensing images by multisource image matching algorithm with SIFT operator, geometric correction on satellite images at scarce control points, and other techniques; the result of the coastline extracted by the edge detection method based on a chromatic aberration Canny operator has a height coincident with the actual measured result; we found that the coastline length of China is predicted to increase in the future by using the grey prediction method, with the total length reaching up to 19,471,983 m by 2015. |
| format | Article |
| id | doaj-art-dcdce157953b4a1698813018a38b6c94 |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-dcdce157953b4a1698813018a38b6c942025-02-03T00:59:40ZengWileyAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/693194693194A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data MiningYun Zhang0Xueming Li1Jianli Zhang2Derui Song3Liaoning Normal University, Dalian 116029, ChinaLiaoning Normal University, Dalian 116029, ChinaNational Marine Environmental Monitoring Center, Dalian 116023, ChinaNational Marine Environmental Monitoring Center, Dalian 116023, ChinaIn this paper, data mining theory is applied to carry out the field of the pretreatment of remote sensing images. These results show that it is an effective method for carrying out the pretreatment of low-precision remote sensing images by multisource image matching algorithm with SIFT operator, geometric correction on satellite images at scarce control points, and other techniques; the result of the coastline extracted by the edge detection method based on a chromatic aberration Canny operator has a height coincident with the actual measured result; we found that the coastline length of China is predicted to increase in the future by using the grey prediction method, with the total length reaching up to 19,471,983 m by 2015.http://dx.doi.org/10.1155/2013/693194 |
| spellingShingle | Yun Zhang Xueming Li Jianli Zhang Derui Song A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining Abstract and Applied Analysis |
| title | A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining |
| title_full | A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining |
| title_fullStr | A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining |
| title_full_unstemmed | A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining |
| title_short | A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining |
| title_sort | study on coastline extraction and its trend based on remote sensing image data mining |
| url | http://dx.doi.org/10.1155/2013/693194 |
| work_keys_str_mv | AT yunzhang astudyoncoastlineextractionanditstrendbasedonremotesensingimagedatamining AT xuemingli astudyoncoastlineextractionanditstrendbasedonremotesensingimagedatamining AT jianlizhang astudyoncoastlineextractionanditstrendbasedonremotesensingimagedatamining AT deruisong astudyoncoastlineextractionanditstrendbasedonremotesensingimagedatamining AT yunzhang studyoncoastlineextractionanditstrendbasedonremotesensingimagedatamining AT xuemingli studyoncoastlineextractionanditstrendbasedonremotesensingimagedatamining AT jianlizhang studyoncoastlineextractionanditstrendbasedonremotesensingimagedatamining AT deruisong studyoncoastlineextractionanditstrendbasedonremotesensingimagedatamining |