Laser beam atmospheric propagation modelling for aerospace LIDAR applications
Atmospheric effects have a significant impact on the performance of airborne and space
laser systems. Traditional models used to predict propagation effects rely heavily on …
laser systems. Traditional models used to predict propagation effects rely heavily on …
Active learning for hyperspectral image classification: A comparative review
Machine learning algorithms have demonstrated impressive results for land cover mapping
from hyperspectral data. To enhance generalization capabilities of statistical models, active …
from hyperspectral data. To enhance generalization capabilities of statistical models, active …
Estimation of soil moisture content from the spectral reflectance of bare soils in the 0.4–2.5 μm domain
S Fabre, X Briottet, A Lesaignoux - Sensors, 2015 - mdpi.com
This work aims to compare the performance of new methods to estimate the Soil Moisture
Content (SMC) of bare soils from their spectral signatures in the reflective domain (0.4–2.5 …
Content (SMC) of bare soils from their spectral signatures in the reflective domain (0.4–2.5 …
Recent developments in estimating land surface biogeophysical variables from optical remote sensing
S Liang - Progress in Physical Geography, 2007 - journals.sagepub.com
Earth system models and many other applications require biogeophysical variables, and
remote sensing is the only means by which to estimate them at the appropriate spatial and …
remote sensing is the only means by which to estimate them at the appropriate spatial and …
On the application of the MODTRAN4 atmospheric radiative transfer code to optical remote sensing
L Guanter, R Richter, H Kaufmann - International Journal of …, 2009 - Taylor & Francis
The quantification of atmospheric effects on the solar radiation measured by a spaceborne
or airborne optical sensor is required for some key tasks in remote sensing, such as …
or airborne optical sensor is required for some key tasks in remote sensing, such as …
Spectral variability of remotely sensed target materials: Causes, models, and strategies for mitigation and robust exploitation
The purpose of this survey is to examine the major causes of spectral variability in target
materials, survey some associated physical models, and discuss how hyper spectral …
materials, survey some associated physical models, and discuss how hyper spectral …
Partial linear NMF-based unmixing methods for detection and area estimation of photovoltaic panels in urban hyperspectral remote sensing data
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 …
hundreds of narrow and contiguous bands of the electromagnetic spectrum. These data offer …
A method for the surface reflectance retrieval from PROBA/CHRIS data over land: Application to ESA SPARC campaigns
The Compact High Resolution Imaging Spectrometer (CHRIS) onboard the Project for On-
Board Autonomy (PROBA) platform system provides the first high spatial resolution …
Board Autonomy (PROBA) platform system provides the first high spatial resolution …
Operational atmospheric correction for imaging spectrometers accounting for the smile effect
R Richter, D Schläpfer, A Müller - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Hyperspectral pushbroom imagers are affected by a number of artifacts, such as pixel
nonuniformity, spectral smile, and keystone. These have to be taken into account during …
nonuniformity, spectral smile, and keystone. These have to be taken into account during …
Hyperspectral and radar airborne imagery over controlled release of oil at sea
S Angelliaume, X Ceamanos, F Viallefont-Robinet… - Sensors, 2017 - mdpi.com
Remote sensing techniques are commonly used by Oil and Gas companies to monitor
hydrocarbon on the ocean surface. The interest lies not only in exploration but also in the …
hydrocarbon on the ocean surface. The interest lies not only in exploration but also in the …