DMF Data Format Usage for Change Detection
Because of the availability of an overwhelming amount of remote sensing data obtained by different instruments, new techniques and applications have been developed in order to pursue the objective of detecting changes that occur in a particular area of the Earth or that affect a large part of the Ea...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2012/341585 |
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| _version_ | 1849404592821895168 |
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| author | Alejandro Cristo David Valencia Pablo J. Martínez Rosa M. Pérez |
| author_facet | Alejandro Cristo David Valencia Pablo J. Martínez Rosa M. Pérez |
| author_sort | Alejandro Cristo |
| collection | DOAJ |
| description | Because of the availability of an overwhelming amount of remote sensing data obtained by different instruments, new techniques and applications have been developed in order to pursue the objective of detecting changes that occur in a particular area of the Earth or that affect a large part of the Earth. These studies have used datasets covering different wavelength ranges (visible, IR, radar, and so on), but common to all of them is the necessity for great accuracy to ensure that no bias is introduced due to data correction. Otherwise, a result may be the generation of false positives. Also, many studies have used several different datasets for the same area to detect changes (this is usually called data fusion), but there exists no specific data structure designed for this purpose. In this paper, we propose a data structure to be used for accurate change detection. This structure is transparent to the user and can be used for data fusion to improve those studies. |
| format | Article |
| id | doaj-art-9b35783f013743b0bfe003b01ea21d95 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-9b35783f013743b0bfe003b01ea21d952025-08-20T03:36:57ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552012-01-01201210.1155/2012/341585341585DMF Data Format Usage for Change DetectionAlejandro Cristo0David Valencia1Pablo J. Martínez2Rosa M. Pérez3GRNPS Research Group, Technology of Computers and Communications Department, University of Extremadura, Escuela Politécnica, Av. Universidad s/n, 10003 Cáceres, SpainGRNPS Research Group, Technology of Computers and Communications Department, University of Extremadura, Escuela Politécnica, Av. Universidad s/n, 10003 Cáceres, SpainGRNPS Research Group, Technology of Computers and Communications Department, University of Extremadura, Escuela Politécnica, Av. Universidad s/n, 10003 Cáceres, SpainGRNPS Research Group, Technology of Computers and Communications Department, University of Extremadura, Escuela Politécnica, Av. Universidad s/n, 10003 Cáceres, SpainBecause of the availability of an overwhelming amount of remote sensing data obtained by different instruments, new techniques and applications have been developed in order to pursue the objective of detecting changes that occur in a particular area of the Earth or that affect a large part of the Earth. These studies have used datasets covering different wavelength ranges (visible, IR, radar, and so on), but common to all of them is the necessity for great accuracy to ensure that no bias is introduced due to data correction. Otherwise, a result may be the generation of false positives. Also, many studies have used several different datasets for the same area to detect changes (this is usually called data fusion), but there exists no specific data structure designed for this purpose. In this paper, we propose a data structure to be used for accurate change detection. This structure is transparent to the user and can be used for data fusion to improve those studies.http://dx.doi.org/10.1155/2012/341585 |
| spellingShingle | Alejandro Cristo David Valencia Pablo J. Martínez Rosa M. Pérez DMF Data Format Usage for Change Detection Journal of Electrical and Computer Engineering |
| title | DMF Data Format Usage for Change Detection |
| title_full | DMF Data Format Usage for Change Detection |
| title_fullStr | DMF Data Format Usage for Change Detection |
| title_full_unstemmed | DMF Data Format Usage for Change Detection |
| title_short | DMF Data Format Usage for Change Detection |
| title_sort | dmf data format usage for change detection |
| url | http://dx.doi.org/10.1155/2012/341585 |
| work_keys_str_mv | AT alejandrocristo dmfdataformatusageforchangedetection AT davidvalencia dmfdataformatusageforchangedetection AT pablojmartinez dmfdataformatusageforchangedetection AT rosamperez dmfdataformatusageforchangedetection |