Three attempts of earthquake prediction with satellite cloud images

Thin cloud removal from single satellite images.

A novel method for removing thin clouds from single satellite image is presented based on a cloud physical model. Given the unevenness of clouds, the cloud background is first estimated in the frequency domain and an adjustment function is used to suppress the areas with greater gray values and enhance the dark objects. An image, mainly influenced by transmission, is obtained by subtracting the...

Cloud Detection from Satellite Images by Wavelets

Cloud detection and corresponding classification are an important problem in numerical weather forecast and remote sensing in general. The present paper introduces the wavelet transform as an aid tool for solving the problem. A case study based on METEOSAT images and on an available Cloud Analysis product is considered.

Damage detection in earthquake disasters using high-resolution satellite images

This paper highlights the usefulness and accuracy of high-resolution satellite images in damage detection after the occurrence of natural disasters. A strong earthquake struck the city of Bam in the southeast Iran on 26 December, 2003 and it brought massive destruction to the city and its surrounding rural areas. IKONOS and QuickBird (QB), high-resolution optical satellites, captured clear imag...

Multi Resolution Fuzzy Segmentation of Satellite Images

Cloud pattern prediction from geostationary meteorological satellite images for solar energy forecasting

Surface solar radiation forecasting permits to predict photovoltaic plant production for a massive and safe integration of solar energy into the electric network. For short-term forecasts (intra-day), methods using images from meteorological geostationary satellites are more suitable than numerical weather prediction models. Forecast schemes consist in assessing cloud motion vectors and in extr...