DocumentCode
149741
Title
Automatic recognition of oyster racks in the aerial image
Author
Wu-Ja Lin ; Yi-Xiang Huang
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Formosa Univ., Yunlin, Taiwan
fYear
2014
fDate
21-24 April 2014
Firstpage
1
Lastpage
6
Abstract
In this manuscript, we propose a system which can automatically recognize the oyster racks in an aerial image. As the oyster racks are recognized, the volume of the oysters could thus be estimated and the price can be predicted in advance. Besides that, when a disaster such as a typhoon strikes on the offshore, the loss could also be estimated when the numbers of oyster racks before and after the disaster are available for analysis. These information are useful for the local government in governing the aquaculture affairs. The advantage of the proposed system is to provide a useful tool in analyzing aquaculture information with less man power and time.
Keywords
aquaculture; object recognition; aerial image; aquaculture affairs; aquaculture information; automatic oyster racks recognition; disaster; local government; typhoon; Aquaculture; Clustering algorithms; Image color analysis; Image recognition; Local government; Sea measurements; Tropical cyclones;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 IEEE Ninth International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4799-2842-2
Type
conf
DOI
10.1109/ISSNIP.2014.6827688
Filename
6827688
Link To Document