Image classification has always been a hot research direction in the world, and the
emergence of deep learning has promoted the development of this field. Convolutional …

Simultaneous localization and mapping (SLAM) techniques are widely researched, since
they allow the simultaneous creation of a map and the sensors' pose estimation in an …

The rapid worldwide spread of Coronavirus Disease 2019 (COVID-19) has resulted in a
global pandemic. Correct facemask wearing is valuable for infectious disease control, but …

Deep learning (DL) has great influence on large parts of science and increasingly
established itself as an adaptive method for new challenges in the field of Earth observation …

Agriculture has always been an important economic and social sector for humans. Fruit
production is especially essential, with a great demand from all households. Therefore, the …

In the digital economy era, small service business struggle to compete in a rapidly changing
and dynamic market. Therefore, through digital transformation (DT), small service business …

Modern hyperspectral imaging systems produce huge datasets potentially conveying a great
abundance of information; such a resource, however, poses many challenges in the …

Local Interpretable Model-Agnostic Explanations (LIME) is a popular technique used to
increase the interpretability and explainability of black box Machine Learning (ML) …

In Earth observation (EO), large-scale land-surface dynamics are traditionally analyzed by
investigating aggregated classes. The increase in data with a very high spatial resolution …

Accurate automated segmentation of remote sensing data could benefit applications from
land cover mapping and agricultural monitoring to urban development surveyal and disaster …