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...

書誌詳細
出版年:	Journal of Spatial Information Science
主要な著者:	Christelle Pierkot, Samuel Andrés, Jean François Faure, Frédérique Seyler
フォーマット:	論文
言語:	英語
出版事項:	University of Maine 2013-12-01
主題:	Spatio-temporality geographic standards remote-sensing interpretation
オンライン･アクセス:	http://josis.org/index.php/josis/article/view/142

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