International audienceWe compared the efficiency and robustness of two radiometric correction techniques applied to six SPOT-5 scenes used for assessing environmental changes of Camargue wetlands: the 6S atmospheric model and 86 pseudo-invariant features (PIFs) found in deep water, pine trees, roofs and sand. The few PIFs were selected subjectively following the low number of potentially invariant sectors available on the scenes. Both approaches provided a similar radiometric variation (6S 4.3 percent; PIFs 4.0 percent). The latter increased from water to pine trees, to roofs and sand, with five reference points per feature being identified as cost effective. The withdrawing of variant features among the PIFs across dates or points caused a...
Because atmospheric effects can have a significant impact on the data obtained from multi-spectral s...
Given their low level of temporal, spatial, and spectral variability, Pseudo-Invariant Calibration S...
[Departement_IRSTEA]DS [TR1_IRSTEA]METHODO / SYNERGIERadiometric normalization is a vital stage in t...
International audienceWe compared the efficiency and robustness of two radiometric correction techni...
Multi-temporal images acquired at high spatial and temporal resolution are an important tool for det...
Radiometric precision is difficult to maintain in orbital images due to several factors (atmospheric...
Radiometric normalization is a vital stage in the pre-processing of multi-temporal imagery. It aims ...
[Departement_IRSTEA]DS [TR1_IRSTEA]METHODO / SYNERGIE [Departement_IRSTEA]DS [TR1_IRSTEA]METHODO / S...
Relative radiometric normalization (RRN) to remove sensor effects, solar and atmospheric variation f...
Radiometric precision is difficult to maintain in orbital images due to several factors (atmospheric...
Relative radiometric normalization (RRN) to remove sensor effects, solar and atmospheric variation f...
A new technique for performing temporal image normalization using pseudo-invariant features was inve...
Atmospheric correction is a complex process, which requires substantial modelling and computation, a...
To study the structure and dynamics of environmental targets, light airborne systems are more and mo...
Because atmospheric effects can have a significant impact on the data obtained from multi-spectral s...
Given their low level of temporal, spatial, and spectral variability, Pseudo-Invariant Calibration S...
[Departement_IRSTEA]DS [TR1_IRSTEA]METHODO / SYNERGIERadiometric normalization is a vital stage in t...
International audienceWe compared the efficiency and robustness of two radiometric correction techni...
Multi-temporal images acquired at high spatial and temporal resolution are an important tool for det...
Radiometric precision is difficult to maintain in orbital images due to several factors (atmospheric...
Radiometric normalization is a vital stage in the pre-processing of multi-temporal imagery. It aims ...
[Departement_IRSTEA]DS [TR1_IRSTEA]METHODO / SYNERGIE [Departement_IRSTEA]DS [TR1_IRSTEA]METHODO / S...
Relative radiometric normalization (RRN) to remove sensor effects, solar and atmospheric variation f...
Radiometric precision is difficult to maintain in orbital images due to several factors (atmospheric...
Relative radiometric normalization (RRN) to remove sensor effects, solar and atmospheric variation f...
A new technique for performing temporal image normalization using pseudo-invariant features was inve...
Atmospheric correction is a complex process, which requires substantial modelling and computation, a...
To study the structure and dynamics of environmental targets, light airborne systems are more and mo...
Because atmospheric effects can have a significant impact on the data obtained from multi-spectral s...
Given their low level of temporal, spatial, and spectral variability, Pseudo-Invariant Calibration S...
[Departement_IRSTEA]DS [TR1_IRSTEA]METHODO / SYNERGIERadiometric normalization is a vital stage in t...