Remote sensing is the method used to detect and measure target characteristics using
electromagnetic energy in the form of heat, light and radio waves. Different applications …

Image classification is one of the classical image processing problems. There are various
approaches such as Support Vector Machine, Artificial Neural Networks, Convolutional …

Classification of remotely sensed data requires the modelling of suitable image processing
algorithms. The rise of machine learning systems upgraded the viability of satellite image …

Classification of the image is an integral part of the digital picture and plays a very significant
role in the development of remote sensing technologies. Thus the need to find sophisticated …

The availability of multispectral images, with both high spatial and spectral resolution, makes
it possible to obtain valuable information about complex urban environment, reducing the …

Accepted Oct 23, 2020 in this paper, a polar-orbiting satellite has been used called Sentinel-
2A imagery, multispectral high-resolution to cover Athens city, Greece that located at latitude …

Science and technology have progressed in recent years, image classification has taken on
great importance in improving work efficiency and received increasing attention in people's …

Breast cancer (BC) is the most widely recognized cancer in women worldwide. By 2018,
627,000 women had died of breast cancer (World Health Organization Report 2018). To …

In the automated modeling generated by oblique photography, various terrains cannot be
physically distinguished individually within the triangulated irregular network (TIN). To utilize …

Satellite Image fusion generates single hybrid image from a collection of input satellite
images and helps us to extract maximum information from the remotely sensed datasets to …