Cloud classification of satellite image performed in two stages

Hiroshi Ikeda; Mitsuharu Matsumoto; Shuji Hashimoto

doi:10.1117/12.703300

27 February 2007 Cloud classification of satellite image performed in two stages

Hiroshi Ikeda, Mitsuharu Matsumoto, Shuji Hashimoto

Proceedings Volume 6497, Image Processing: Algorithms and Systems V; 64970A (2007) https://doi.org/10.1117/12.703300
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

To understand a comprehensive atmospheric state, it is important to classify clouds in satellite images into appropriate classes. Many researches utilizing various features concerning the cloud texture have been reported in cloud classification. However, some clouds can not be classified uniquely only with the texture features. According to the knowledge of the experts, they classify the clouds in two stages. They firstly categorize the clouds into the provisional classes according to the brightnesses of the satellite images. They then classify each provisional class into the objective class based on the texture, shape and velocity of the cloud employing the meteorological knowledge about the time and location of the image. In this paper, we propose a novel method for the cloud classification that consists of two stages and utilizes cloud movement as human experts adopt. We firstly classify the clouds into 20 classes based on their brightnesses of the two-band spectral images. We then closely analyze the classes according to five features such as the brightnesses, deviations of brightness and cloud velocity estimated by varying window size adaptively. The experimental results are shown to verify the proposed method.

Citation Download Citation

Hiroshi Ikeda, Mitsuharu Matsumoto, and Shuji Hashimoto "Cloud classification of satellite image performed in two stages", Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 64970A (27 February 2007); https://doi.org/10.1117/12.703300

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