QQ客服 官方微博 反馈留言

	A model of sea surface temperature front detection based on a threshold interval
	Ping B. ; Su F. Z. ; Meng Y. S. ; Fang S. H. ; Du Y. Y.
	2014
关键词	sea surface temperature threshold setting Sobel algorithm edge detection front detection edge-detection sst images
英文摘要	A model (Bayesian oceanic front detection, BOFD) of sea surface temperature (SST) front detection in satellite-derived SST images based on a threshold interval is presented, to be used in different applications such as climatic and environmental studies or fisheries. The model first computes the SST gradient by using a Sobel algorithm template. On the basis of the gradient value, the threshold interval is determined by a gradient cumulative histogram. According to this threshold interval, front candidates can be acquired and prior probability and likelihood can be calculated. Whether or not the candidates are front points can be determined by using the Bayesian decision theory. The model is evaluated on the Advanced Very High-Resolution Radiometer images of part of the Kuroshio front region. Results are compared with those obtained by using several SST front detection methods proposed in the literature. This comparison shows that the BOFD not only suppresses noise and small-scale fronts, but also retains continuous fronts.
出处	Acta Oceanologica Sinica
卷	33
期	7
页	65-71
收录类别	SCI
语种	英语
ISSN号	0253-505X
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/29653]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Ping B.,Su F. Z.,Meng Y. S.,et al. A model of sea surface temperature front detection based on a threshold interval. 2014.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。