检索结果-南通市图书馆

Hurricane eye morphology extraction from SAR images by texture analysis

Frontiers of Earth Science 2022年第1期16卷 190-205页

作者： Weicheng NI ad stoffelen Kaijun REN Royal Netherlands Meteorological Institute De Bilt 3731GAThe Netherlands College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073China

Tropical hurricanes are among the most devastating hazards on Earth.Knowledge about its intense inner-core structure and dynamics will improve hurricane forecasts and advisories.The precise morphological parameters extracted from high-resolution spaceborne Synthetic Aperture Radar(SAR)images,can play an essential role in further exploring and monitoring hurricane dynamics,especially when hurricanes undergo amplification,shearing,eyewall replacements and so forth.Moreover,these parameters can help to build guidelines for wind calibration of the more abundant,but lower resolution scatterometer wind data,thus better linking scatterometer wind fields to hurricane categories.In this paper,we develop a new method for automatically extracting the hurricane eyes from C-band SAR data by constructing Gray Level-Gradient Co-occurrence Matrices(GLGCMs).The hurricane eyewall is determined with a two-dimensional vector,generated by maximizing the class entropy of the hurricane eye region in GLGCM.The results indicate that when the hurricane is weak,or the eyewall is not closed,the hurricane eye extracted with this automatic method still agrees with what is observed visually,and it preserves the texture characteristics of the original image.As compared to Du’s wavelet analysis method and other morphological analysis methods,the approach developed here has reduced artefacts due to factors like hurricane size and has lower programming complexity.In summary,the proposed method provides a new and elegant choice for hurricane eye morphology extraction.

关键词： hurricane eyewall morphological parameter texture analysis Gray Level-Gradient Co-occurrence Matrix Two-dimensional Entropy Maximization

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Remote sensing and analysis of tropical cyclones:Current and emerging satellite sensors

引用

Tropical Cyclone Research and Review 2023年第4期12卷 267-293页

作者： Lucrezia Ricciardulli Brian Howell Christopher R.Jackson Jeff Hawkins Joe Courtney ad stoffelen Sebastian Langlade Chris Fogarty Alexis Mouche William Blackwell Thomas Meissner Julian Heming Brett Candy Tony McNally Masahiro Kazumori Chinmay Khadke Maria Ana Glaiza Escullar Remote Sensing Systems Santa RosaCAUSA Joint Typhoon Warning Center Pearl HarborHawaiiUSA Global Ocean Associates(supporting NOAA/NESDIS STAR) AlexandriaVAUSA University of Wisconsin Cooperative Institute for Meteorological Satellite StudiesMadisonWIUSA Bureau of Meteorology PerthAustralia Royal Netherlands Meteorological Institute(KNMI) De BiltNetherlands Tropical Cyclone/Regional Specialized Meteorological Center Meteo FranceReunionFrance Canadian Hurricane Center(CHC) DartmouthNova ScotiaCanada University Brest CNRSIRDIfremerLaboratoire d’Oceanographie Physique et Spatiale(LOPS)IUEMBrestFrance MIT Lincoln Laboratory LexingtonMAUSA Met Office ExeterUK European Centre for Medium-Range Weather Forecasts ReadingUK Japan Meteorological Agency(JMA) TokyoJapan India Meteorological Department(IMD) New DelhiIndia Philippine Atmospheric Geophysical and Astronomical Services Administration(PAGASA)Diliman Quezon CityPhilippines

This article describes recent advances in the capability of new satellite sensors for observing Tropical Cyclones(TC)fine structure,wind field,and temporal evolution.The article is based on a World Meteorological Organization(WMO)report prepared for the 10th International Workshop on Tropical Cyclones(IWTC),held in Bali in December 2022,and its objective is to present updates in TC research and operation every four years.Here we focus on updates regarding the most recent space-based TC observations,and we cover new methodologies and techniques using polar orbiting sensors,such as C-band synthetic aperture radars(SARs),L-band and combined C/X-band radiometers,scatterometers,and microwave imagers/sounders.We additionally address progress made with the new generation of geostationary and small satellites,and discuss future sensors planned to be launched in the next years.We then briefly describe some examples on how the newest sensors are used in operations and data assimilation for TC forecasting and research,and conclude the article with a discussion on the remaining challenges of TC space-based observations and possible ways to address them in the near future.

关键词： Tropical cyclones Surface wind Satellite sensors Operations

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：