Deep learning (DL) has been successfully applied to single image super-resolution (SISR),
which aims at reconstructing a high-resolution (HR) image from its low-resolution (LR) …

We present a new method for remote sensing image segmentation, which utilizes both
spectral and texture information. Linear filters are used to provide enhanced spatial patterns …

A statistical relationship between canopy mass-based foliar nitrogen concentration (% N)
and canopy bidirectional reflectance factor (BRF) has been repeatedly demonstrated …

Including spatial information is a key step for successful remote sensing image classification.
In particular, when dealing with high spatial resolution, if local variability is strongly reduced …

Urban morphology is characterized by a complex and variable coexistence of diverse,
spatially and spectrally heterogeneous objects. Built-up areas are among the most rapidly …

The aim of this study is to explore the performances of different data fusion techniques for
the enhancement of urban features and evaluate the features obtained by the fusion …

The landuse or land-cover map depicts the physical coverage of the Earth's terrestrial
surface according to its use. Landuse map generation from remotely sensed images is one …

Morphological attribute profiles (APs) obtained by the sequential application of
morphological attribute filters to images have been found very effective in remote sensing …

The present paper proposes the design of a tool to quantify power quality (PQ) parameters
using wavelets and fuzzy sets theory. The tool merges the best characteristics of these two …

A new rough-fuzzy model for pattern classification based on granular computing is
described in the present article. In this model, we propose the formulation of class …