Formalizing spatiotemporal knowledge in remote sensing applications to improve image interpretation
Technological tools allow the generation of large volumes of data. For example satellite images aid in the study of spatiotemporal phenomena in a range of disciplines, such as urban planning, environmental sciences, and health care. Thus, remote-sensing experts must handle various and complex image...
Main Authors: | Christelle Pierkot, Samuel Andrés, Jean François Faure, Frédérique Seyler |
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Format: | Article |
Language: | English |
Published: |
University of Maine
2013-12-01
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Series: | Journal of Spatial Information Science |
Subjects: | |
Online Access: | http://josis.org/index.php/josis/article/view/142 |
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