Satellite Cloud Image Standardization

1988 ◽  
Author(s):  
Howard J. Schultz ◽  
Ronald G. Isaacs
Keyword(s):  
Satellite Cloud Image

Satellite cloud image retrieval based on deformable circle model

2007 ◽  
Author(s):  
Yuan-Xiang Li ◽  
Yan-Bing Li ◽  
Zhong-Liang Jing
Keyword(s):  
Image Retrieval ◽  
Satellite Cloud Image ◽  
Circle Model

Satellite cloud image inpainting based on patch matching and sparse representation

2014 ◽  
Vol 22 (7) ◽  
pp. 1886-1895
Author(s):  
金炜 JIN Wei ◽  
王文龙 WANG Wen-long ◽  
符冉迪 FU Ran-di ◽  
田文哲 TIAN Wen-zhe ◽  
尹曹谦 YIN Cao-qian
Keyword(s):  
Sparse Representation ◽  
Image Inpainting ◽  
Satellite Cloud Image ◽  
Patch Matching

Research on Automatic Identification of MCS Based on Infrared Satellite Cloud Image of FY2D

2014 ◽  
Vol 716-717 ◽  
pp. 954-957
Author(s):  
Lian Duan ◽  
Jun Jie Wu ◽  
Fan Liu
Keyword(s):  
Satellite Image ◽  
Great Influence ◽  
Mesoscale Convective System ◽  
Image Data ◽  
Automatic Identification ◽  
Convective System ◽  
Eigenvalue Method ◽  
Satellite Cloud Image ◽  
Mesoscale Convective ◽  
Eigenvalue And Eigenvector

The mesoscale convective system (MCS) has a great influence on the Aviation flight, this article used infrared satellite cloud image data detected by FY2D and eigenvalue method to research MCS’ identification to accurately identify the MCS cloud. Firstly, satellite image binarization processing and edge detection ,to extract the large boundary gray gradient cloud. Then, calculating cloud’s geometric center coordinates , cloud size ,centroid coordinates, the average TBB values, ellipticity and some other eigenvalue and eigenvector. Finally, selecting those which meet to the MCS identification criterion to realize the automatic identification of MCS.

Analysis the Typhoon Eyes of Megi from MTSAT Satellite Cloud Images with 3-D Profile Reconstruction

2012 ◽  
pp. 143-151
Author(s):  
Yueh-Jyun Lee ◽  
Ji-Chyun Liu ◽  
Shih-Wen Liu ◽  
Yuh-Fong Lin ◽  
Lung-Chun Chang
Keyword(s):  
Line Profile ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Image Data ◽  
Reconstruction Technique ◽  
Time Intervals ◽  
Satellite Cloud Image ◽  
Image Reconstruction Technique ◽  
Profile Reconstruction

In this paper, image reconstruction technique (IRT) is used to reconstruct a 3-D profile of typhoons from MTSAT satellite cloud image data and based on a 1691 MHz receiver and iDAP system. The satellite cloud image data gives a single line profile slicing from a surface cloud image which does match the typhoon distribution. The line profile is presented with the temperature of the cloud top. The 3-D profiles of typhoons are constructed with the surface cloud images and the temperatures. IRT is conducted using the data of the 2010 Megi event. The typhoon feature is studied and the various typhoon eyes in three time intervals are analyzed. An effective early-warning system may become feasible based on this work.

High-performance isotherm extraction for infrared satellite cloud image

2001 ◽  
Author(s):  
Zhengguang Liu ◽  
Bing Wu ◽  
Yong Liu ◽  
Yuan Liu
Keyword(s):  
High Performance ◽  
Satellite Cloud Image

Automatically locating the typhoon center based on satellite cloud image

2004 ◽  
Author(s):  
Zhengguang Liu ◽  
Juntao Xue ◽  
Yuanfei Yu ◽  
Bing Wu ◽  
Gary Shen
Keyword(s):  
Satellite Cloud Image ◽  
Typhoon Center
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