A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining
Joint Authors
Zhang, Yun
Song, Derui
Zhang, Jianli
Li, Xueming
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-15
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhang, Yun& Li, Xueming& Zhang, Jianli& Song, Derui. 2013. A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-491080
Modern Language Association (MLA)
Zhang, Yun…[et al.]. A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining. Abstract and Applied Analysis No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-491080
American Medical Association (AMA)
Zhang, Yun& Li, Xueming& Zhang, Jianli& Song, Derui. A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-491080
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491080