Abstract—Image mining is a used to mining the images for the extraction of knowledge. Different types of satellite images contain earlier prediction of forecasting weather & their important information. Several works has been done on Satellite image mining, databases are used to store the images & query image technique is used to retrieve the images. The technique used Content Based Image Retri...

[1] We present a re-evaluation of the hypothesis of a coupling between galactic cosmic rays, clouds and climate. We have used two independent estimates of low cloud cover from the International Satellite Cloud Climatology Project, covering 16.5 years of data. The cloud cover data are used in conjunction with estimates of galactic cosmic ray flux and measurements of solar irradiance. It is found...

[1] We have analyzed long-term NOAA/AVHRR (Advanced Very High Resolution Radiometer) global data from 1985 to 1994 to investigate the variation of the cloud particle size for low-lying water clouds. Here we focus on seasonal change of the cloud particle size instead of studying the variability the absolute values, since there are several critical factors which affect the long time-series thus o...

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...

1.0 Introduction Difficulties with Satellite Cloud Analysis in Polar Regions Objectives of this Project 1.1 1.2 Data Cloud Detection Algorithms 3.1 Classification of Clouds and Surfaces with Fuzzy Sets 3.2 Classification of Clouds and Surfaces with Neural Networks 3.3 Cloud Detection with Spatial and Temporal Coherence 3.4 Cloud Detection Following an ISCCP Methodology 4.0 Analysis of Cloud Pat...

due to the effect of aerosols present in the atmosphere on the satellite images, the study of the effect of local aerosols distribution on the satellite images is important. on the other hand, the study shows that the effect of aerosols on the greenhouse gases and consequently on climate is also undeniable and as a result, this puts more emphasize on the necessity of this study. lack of informa...

In this paper we introduce the use of semi-supervised support vector machines for rainfall estimation using images obtained from visible and infrared NOAA satellite channels. Two experiments were performed, one involving traditional SVM and other using semi-supervised SVM (SVM). The SVM approach outperforms SVM in our experiments, with can be seen as a good methodology for rainfall satellite es...