High-spectral-resolution hyperspectral data are acquired by sensors that gather images from
hundreds of narrow and contiguous bands of the electromagnetic spectrum. These data offer …

With the current expansion of cities, urban trees have an important role for preserving the
health of its inhabitants. With their evapotranspiration, they reduce the urban heat island …

This study aims at identifying the best object-based fusion strategy that takes advantage of
the complementarity of several heterogeneous airborne data sources for improving the …

Very high spatial resolution (VHR) multispectral imagery enables a fine delineation of
objects and a possible use of texture information. Other sensors provide a lower spatial …

For remote-sensing applications such as spectra classification or identification, atmospheric
correction constitutes a very important pre-processing step, especially in complex urban …

With the advancement of high spatial resolution imaging spectroscopy, an accurate surface
reflectance retrieval is needed to derive relevant physical variables for land cover map** …

The most standard blind source separation (BSS) methods address the situation when a set
of signals are available, eg from measurements, and all of them are linear memoryless …

Many applications dedicated to urban areas (eg land cover map** and biophysical
properties estimation) using high spatial resolution remote sensing images require the use …

Hyperspectral pansharpening methods, which aim to combine hyperspectral and
panchromatic images, yield limited performance for scenes whose strong spatial …

Earth observation at a local scale requires images having both high spatial and spectral
resolutions. As sensors cannot simultaneously provide such characteristics, a solution is …