Redirigiendo al acceso original de articulo en 23 segundos...
ARTÍCULO
TITULO

Detection and Statistics of Offshore Aquaculture Rafts in Coastal Waters

Chen Zhou    
Kapo Wong    
Jin Yeu Tsou and Yuanzhi Zhang    

Resumen

Offshore aquaculture is critical for a marine fishery economy. The spatial distribution of aquaculture that characterizes it plays a vital role in the sustainable development of marine resources and the protection of the marine environment. In recent years, China?s aquaculture has developed rapidly; specifically, the scale of aquaculture has dramatically expanded, and large-scale aquaculture has gradually grown in popularity. Although high-resolution satellite data can accurately extract aquaculture areas, the extraction of a large area of the sea area requires a copious amount of data. In contrast, medium-resolution satellite images allow for the extraction of aquaculture areas from large sea areas with a smaller amount of data, offering significant advantages. Therefore, we used Landsat8 satellite data to extract and count the number of aquaculture rafts based on the Hough transform and Canny edge detection methods. We tested the accuracy of this method by selecting Haizhou Bay as the study area for the experiment and accuracy verification and found that the automatic extraction accuracy for the number of aquaculture rafts was more than 90%. Additionally, we calculated statistics on the number of aquaculture rafts in Haizhou Bay over the past seven years. The findings presented in this paper offer a significant reference value for local marine utilization, marine environment protection, and marine disaster prevention and mitigation.

 Artículos similares

       
 
Haiyan Xing, Cheng Xu, Ming Yi, Shenrou Gao and Weinan Liu    
Metal magnetic memory (MMM) is a nondestructive testing technology based on the magnetomechanical effect, which is widely used in the qualitative detection of stress concentration zones for welded joints. However, there is inevitable residual stress afte... ver más
Revista: Applied Sciences

 
Yongjiu Zou, Jinqiu Zhang, Taili Du, Xingjia Jiang, Hao Wang, Peng Zhang, Yuewen Zhang and Peiting Sun    
According to statistics, about 70% of ship fire accidents occur in the engine room, due to the complex internal structure and various combustible materials. Once a fire occurs, it is difficult to extinguish and significantly impacts the crew?s life and p... ver más

 
Viet Q. Vu, Minh-Quang Tran, Mohammed Amer, Mahesh Khatiwada, Sherif S. M. Ghoneim and Mahmoud Elsisi    
Facial mask detection technology has become increasingly important even beyond the context of the COVID-19 pandemic. Along with the advancement in facial recognition technology, face mask detection has become a crucial feature for various applications. T... ver más
Revista: Information

 
Robyn C. Thompson, Seena Joseph and Timothy T. Adeliyi    
The ubiquitous access and exponential growth of information available on social media networks have facilitated the spread of fake news, complicating the task of distinguishing between this and real news. Fake news is a significant social barrier that ha... ver más
Revista: Information

 
Haili Zhao, Shuzhen Wang, Wen Shen, Wenbo Jing, Lijie Li, Xuan Feng and Weiyin Zhang    
High-precision laser spot center detection occupies an important position in optical measurement technology. In this paper, we propose a laser spot centering method to improve positioning accuracy. This method is an iterative double-area shrinkage approa... ver más
Revista: Applied Sciences