Accurate and timely mapping of wildfire burned areas is crucial for post-fire management,
planning, and next subsequent actions. The monitoring and mapping of the burned area by …

Wildfires are one of the most destructive natural disasters that can affect our environment,
with significant effects also on wildlife. Recently, climate change and human activities have …

As special aggregation functions, overlap functions have been widely used in the soft
computing field. In this work, with the aid of overlap functions, two new groups of fuzzy …

Salient object detection in hyperspectral images (HSIs) is of interest in various image
processing and computer vision applications. Many studies considering spectral information …

Modern supervised machine learning for electro-optical and infrared imagery is based on
data-driven learning of features and decision making. State-of-the-art algorithms are largely …

The stage of calculating the features of digital images is considered as one of the most
important stages used in the construction of recognition and discrimination systems, and the …

Abstract “Work on deep learning or perish”: folklore wisdom in 2021. During recent years,
the renaissance of neural networks as the major machine learning paradigm and more …

This paper analyses both nonlinear activation functions and spatial max-pooling for Deep
Convolutional Neural Networks (DCNNs) by means of the algebraic basis of mathematical …

The selection of the region of interest (ROI) in an image for measuring the focus level of high-
magnification astronomical observations is arduous. Precise focusing is a principal …

Morphological neurons, that is morphological operators such as dilation and erosion with
learnable structuring elements, have intrigued researchers for quite some time because of …