Paper
3 November 2008 Research on monitoring tobacco fields by multi-source remote sensing data
Meng-quan Wu, Zhou-long Wang, An-ding Zhang, Yong-qi Huang, Qing-chun Cui
Author Affiliations +
Proceedings Volume 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments; 71450U (2008) https://doi.org/10.1117/12.813008
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
Tobacco is one of important crops in our country, and brings the significant irreplaceable effect into playing in countrywide economic growth. So the monitoring and scientific management of tobacco fields show especially important to us. To monitor growing crops in a large scale is a complicated problem and a satisfied method to know what the way a crop is growing has been sought by the scientists in the field. At present, the study of tobacco remote sensing monitoring is less both at home and abroad. In this paper, we try to obtain tobacco field and area by remote sensing with Yunan Province Honghe State Tobacco County as example. We adopt rejecting interfering tobacco field information classification method of supervision while monitoring and get an ideal result. Simultaneity, we also offered the suggestion of further improving classification precision.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Meng-quan Wu, Zhou-long Wang, An-ding Zhang, Yong-qi Huang, and Qing-chun Cui "Research on monitoring tobacco fields by multi-source remote sensing data", Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71450U (3 November 2008); https://doi.org/10.1117/12.813008
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Cited by 1 scholarly publication.
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KEYWORDS
Remote sensing

Image classification

Vegetation

Roads

Buildings

Image processing

Information fusion

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