期刊
JOURNAL OF MARINE SYSTEMS
卷 78, 期 3, 页码 319-326出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jmarsys.2008.11.018
关键词
Oceanic front; Satellite imagery; Remote sensing; Chlorophyll; SST; Frontal oceanography; Front detection
An algorithm is described for oceanic front detection in chlorophyll (Chl) and sea surface temperature (SST) satellite imagery. The algorithm is based on a gradient approach: the main novelty is a shape-preserving, scale-sensitive, contextual median filter applied selectively and iteratively until convergence. This filter has been developed specifically for Chl since these fields have spatial patterns such as chlorophyll enhancement at thermohaline fronts and small- and meso-scale chlorophyll blooms that are not present in SST fields. Linear Chl enhancements and localized (point-wise) blooms are modeled as ridges and peaks respectively, whereas conventional fronts in Chl and SST fields are modeled as steps or ramps. Examples are presented of the algorithm performance using modeled (synthetic) images as well as synoptic Chl and SST imagery. After testing, the algorithm was used on >6000 synoptic images, 1999-2007, to produce climatologies of Chl and SST fronts off the U.S. Northeast. (C) 2009 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据