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Remote Sens. 2014, 6(1), 677-699; doi:10.3390/rs6010677
Article

An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation

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Received: 12 October 2013; in revised form: 1 December 2013 / Accepted: 31 December 2013 / Published: 7 January 2014
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Abstract: In the Earth Observation sensor web environment, the rapid, accurate, and unified discovery of diverse remote sensing satellite sensors, and their association to yield an integrated solution for a comprehensive response to specific emergency tasks pose considerable challenges. In this study, we propose a remote sensing satellite sensor object model, based on the object-oriented paradigm and the Open Geospatial Consortium Sensor Model Language. The proposed model comprises a set of sensor resource objects. Each object consists of identification, state of resource attribute, and resource method. We implement the proposed attribute state description by applying it to different remote sensors. A real application, involving the observation of floods at the Yangtze River in China, is undertaken. Results indicate that the sensor inquirer can accurately discover qualified satellite sensors in an accurate and unified manner. By implementing the proposed union operation among the retrieved sensors, the inquirer can further determine how the selected sensors can collaboratively complete a specific observation requirement. Therefore, the proposed model provides a reliable foundation for sharing and integrating multiple remote sensing satellite sensors and their observations.
Keywords: remote sensing satellite sensor; object-oriented paradigm; sensor metadata; sensor sharing and integration; sensor web; SensorML remote sensing satellite sensor; object-oriented paradigm; sensor metadata; sensor sharing and integration; sensor web; SensorML
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Hu, C.; Li, J.; Chen, N.; Guan, Q. An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation. Remote Sens. 2014, 6, 677-699.

AMA Style

Hu C, Li J, Chen N, Guan Q. An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation. Remote Sensing. 2014; 6(1):677-699.

Chicago/Turabian Style

Hu, Chuli; Li, Jia; Chen, Nengcheng; Guan, Qingfeng. 2014. "An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation." Remote Sens. 6, no. 1: 677-699.


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