High-performance isotherm extraction for infrared satellite cloud image

Zhengguang Liu; Bing Wu; Yong Liu; Yuan Liu

doi:10.1117/12.441420

25 September 2001 High-performance isotherm extraction for infrared satellite cloud image

Zhengguang Liu, Bing Wu, Yong Liu, Yuan Liu

Proceedings Volume 4548, Multispectral and Hyperspectral Image Acquisition and Processing; (2001) https://doi.org/10.1117/12.441420
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

The isotherm is an important feature of infrared satellite cloud images (ISCI), which can directly reveal substantial information of cloud systems. The isotherm extraction of ISCI can remove the redundant information and therefore helps to compress the information of ISCI. In this paper, an isotherm extraction method is presented. The main aggregate of clouds can be segmented based on mathematical morphology. T algorithm and IP algorithm are then applied to extract the isotherms from the main aggregate of clouds. A concrete example for the extraction of isotherm based on IBM SP2is described. Study of the result shows that this is a highly efficient algorithm. It can be used in feature extractions of infrared images for weather forecasts.

Citation Download Citation

Zhengguang Liu, Bing Wu, Yong Liu, and Yuan Liu "High-performance isotherm extraction for infrared satellite cloud image", Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); https://doi.org/10.1117/12.441420

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available