An Algorithm for Pre-Processing of Satellite Images of Cyclone Clouds

Abstract

Rapid advances in satellite imaging technologies have made it possible to obtain images of the atmosphere using different modalities and accordingly, make weather predictions. The progress of cyclone storms is one such area where cloud intensity images exhibit characteristic patterns at various stages of evolution. These patterns have been classified using Dvorak's technique, which is based on expert human judgment. Recent research efforts are being made to perform a computer analysis of these intensity patterns in order to make the classification process more objective. However, in order to perform an analysis of these image intensity patterns, the satellite images of different modalities need to be preprocessed to extract the dominant cyclone cloud patterns. This paper describes our algorithm to obtain cloud intensity contours to be used for pattern analysis. Results obtained using Visible (VIS) and Enhanced Infra-Red satellite images of cyclones have been found to be promising.

Enhancing Few-Shot Learning for Tropical Cyclone Severity Prediction: A Deep Learning Approach

“…Highlighting the importance of the storm's eye for reliable cyclone forecasting, Jaiswal and Kishtawal [15] introduced a pragmatic strategy to locate regions in a type of tropical cyclone (TC) similar to others. A semi-automated computing methodology was deployed to analyze the pattern of cyclone storm intensity growth using pre-processed visible and enhanced infrared (EIR) satellite imagery [16], employing elliptical fourier descriptors (EFD) and principal component analysis (PCA) techniques.…”

Tropical cyclone intensity detection by geometric features of cyclone images and multilayer perceptron

“…Intensity of TCs is measured from these centres by a specific scale known as tropical cyclone intensity scale [8]. Various other techniques are also established to predict the impact of a TC [9][10][11][12][13][14][15][16]. Dvorak technique [17] is a widely used method to detect cyclones using pattern recognition.…”