Roads and roadsides provide dispersal channels for non-native invasive alien plants (IAP),
many of which hold devastating impacts in the economy, human health, biodiversity and …

Segmentation of real-world remote sensing images is challenging because of the large size
of those data, particularly for very high resolution imagery. However, a lot of high-level …

Key to the successful application of remotely sensed data to real world problems is software
that is capable of performing commonly used functions efficiently over large datasets, whilst …

Road extraction from very high resolution sensors is a very popular topic in panchromatic
and multispectral remote sensing image analysis. Despite the vast number of methods …

Orfeo Toolbox, OTB, is a remote sensing image processing library developed by CNES, the
French Space Agency. OTB is distributed as Open Source software and is therefore …

As the amount of data and the complexity of the processing rise, the demand for processing
power in remote sensing applications is increasing. The processing speed is a critical …

A modular system for performing Geographic Object-Based Image Analysis (GEOBIA), using
entirely open source (General Public License compatible) software, is presented based …

Nowadays, satellite images are considered as one of the most relevant sources of
information in the context of major disasters management. Their availability in extreme …

Water bodies extraction using satellite images is of great importance due to its utility in
several applications such as land use planning, floods management, and monitoring …

The use of unmanned aerial vehicles (UAVs) for remote sensing applications is becoming
more frequent. However, this type of information can result in several software problems …