Segmentation and classification are two imperative, yet challenging tasks in image analysis
for remote-sensing applications. In the former, an image is divided into spatially continuous …

Sentinel-2 satellites provide multi-spectral optical remote sensing images with four bands at
10 m of spatial resolution. These images, due to the open data distribution policy, are …

Atmospheric correction of optical satellite imagery is an essential pre-processing for
modelling biophysical variables, multi-temporal analysis, and digital classification …

RESUMO A correção atmosférica é um procedimento necessário em estudos de
sensoriamento remoto com foco nas propriedades físicas, químicas e biológicas de alvos …

Fundamental image processing methods, such as atmospheric corrections and
pansharpening, influence the signal of the pixel. This morphs the spectral signature of target …

Remote multispectral data can provide valuable information for monitoring coastal water
ecosystems. Specifically, high-resolution satellite-based imaging systems, as WorldView-2 …

Coastal ecosystems experience multiple anthropogenic and climate change pressures. To
monitor the variability of the benthic habitats in shallow waters, the implementation of …

The use of Pseudoinvariant Areas (PIA) makes it possible to carry out a reasonably robust
and automatic radiometric correction for long time series of remote sensing imagery, as …

A key step in the processing of satellite imagery is the radiometric correction of images to
account for reflectance that water vapor, atmospheric dust, and other atmospheric elements …

Glacier surface facies are valuable indicators of changes experienced by a glacial system.
The interplay of accumulation and ablation facies, followed by intermixing with dust and …