Abstract
The awareness about the changes occurred in our living earth has received a tremendous attention from a variety of research and application domains. For such missions, it is advantageous to take full advantages of the abundant geospatial data available in sharing environment. The diverse types and overwhelming volume of available georesource, however, impedes such expectations. This paper focuses on the use of RS data to aid change detection. A set of metadata elements from ISO19115 are selected and their searching and usage strategies are developed. The standardized metadata helps to improve the searching efficiency by adding constraints for intelligently filtering data that matches the characteristics of the reference RS data. It also facilitates the sharing of information collected by different organizations to improve the precision and accuracy of the analyzed results, and guides RS data providers to supply all the necessary information to the analyzers to aid decision making.
| Original language | English |
|---|---|
| Pages | 535-538 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2012 Dec 1 |
| Event | 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 2012 Jul 22 → 2012 Jul 27 |
Other
| Other | 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 |
|---|---|
| Country | Germany |
| City | Munich |
| Period | 12-07-22 → 12-07-27 |
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All Science Journal Classification (ASJC) codes
- Earth and Planetary Sciences(all)
- Computer Science Applications
Cite this
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Using standardized metadata to improve the search and analysis of remote sensing data for change detection. / Hong, Jung-Hong; Yeh, Yao Hsien.
2012. 535-538 Paper presented at 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, Munich, Germany.Research output: Contribution to conference › Paper
TY - CONF
T1 - Using standardized metadata to improve the search and analysis of remote sensing data for change detection
AU - Hong, Jung-Hong
AU - Yeh, Yao Hsien
PY - 2012/12/1
Y1 - 2012/12/1
N2 - The awareness about the changes occurred in our living earth has received a tremendous attention from a variety of research and application domains. For such missions, it is advantageous to take full advantages of the abundant geospatial data available in sharing environment. The diverse types and overwhelming volume of available georesource, however, impedes such expectations. This paper focuses on the use of RS data to aid change detection. A set of metadata elements from ISO19115 are selected and their searching and usage strategies are developed. The standardized metadata helps to improve the searching efficiency by adding constraints for intelligently filtering data that matches the characteristics of the reference RS data. It also facilitates the sharing of information collected by different organizations to improve the precision and accuracy of the analyzed results, and guides RS data providers to supply all the necessary information to the analyzers to aid decision making.
AB - The awareness about the changes occurred in our living earth has received a tremendous attention from a variety of research and application domains. For such missions, it is advantageous to take full advantages of the abundant geospatial data available in sharing environment. The diverse types and overwhelming volume of available georesource, however, impedes such expectations. This paper focuses on the use of RS data to aid change detection. A set of metadata elements from ISO19115 are selected and their searching and usage strategies are developed. The standardized metadata helps to improve the searching efficiency by adding constraints for intelligently filtering data that matches the characteristics of the reference RS data. It also facilitates the sharing of information collected by different organizations to improve the precision and accuracy of the analyzed results, and guides RS data providers to supply all the necessary information to the analyzers to aid decision making.
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UR - http://www.scopus.com/inward/citedby.url?scp=84873197597&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2012.6350860
DO - 10.1109/IGARSS.2012.6350860
M3 - Paper
SP - 535
EP - 538
ER -