Change detection is a key methodology in remote sensing. Despite numerous important
papers dedicated to this topic no comprehensive review of the subject currently exists. Most …

Following flooding disasters, satellite images provide valuable information required for
generating flood inundation maps. Multispectral or optical imagery can be used for …

This study explored the capability of Support Vector Machines (SVMs) and regularised
kernel Fisher's discriminant analysis (rkFDA) machine learning supervised classifiers in …

The World Health Organization estimates that 100 thousand people in the world die every
year from asbestos-related cancers and more than 300 thousand European citizens are …

Maps of the total electron content (TEC) of the ionosphere can be reconstructed using data
extracted from global positioning system (GPS) signals. For historic and other sparse data …

In this paper the combined use of the regularized kernel Fisher's discriminant analysis
classifier (kFDA) with Landsat TM multispectral imagery is explored for flooded area …

Restoration of temperate forests alters the diurnal dynamics of land surface temperature
(LST) and evapotranspiration (ET) through increases in biomass, diversity, and complexity …

An experimental method to select the number of principal components in minimum noise
fraction (MNF) is proposed to process images measured by imagery sensors onboard …

Satellite image classification is usually marked by several types of imperfection such as
uncertainty, imprecision, and ignorance. Data fusion of additional sensors tries to overcome …

This paper introduces a new and general method for change detection based on the
normalized difference change detection (NDCD) technique. A case study shows the use of …