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Automatic detection of high-voltage power lines in LiDAR surveys using data mining techniques
(Springer, 2020)
info:eu-repo/semantics/conferenceObject,
The correct classification of power lines in LiDAR point clouds has attracted the interest of the mapping community in the last years. The objective of this research is the detection and automatic extraction of high-voltage ...
Comparison of digital terrain models obtained with LiDAR and photogrammetry
(Springer, 2020)
info:eu-repo/semantics/conferenceObject,
Airborne LiDAR sensors capture three-dimensional information of the Earth, useful for obtaining high accuracy Digital Terrain Models (DTM). The Spanish National Plan for Aerial Orthophotography (PNOA) is an initiative of ...
On the influence of spatial resolution in soil surface roughness characterization using Tls and Sfm techniques
(IEEE, 2018)
info:eu-repo/semantics/conferenceObject,
Soil surface roughness strongly affects the scattering of microwaves and determines the backscattering coefficient observed by SAR (Synthetic Aperture Radar) sensors. The aim of this study is to analyze the influence of ...
Inter-comparison of atmospheric correction methods on Sentinel-2 images applied to croplands
(IEEE, 2018)
info:eu-repo/semantics/conferenceObject,
Atmospheric correction of high resolution satellite scenery is a necessary preprocessing step for applications where bottom of atmosphere (BOA) reflectances are needed. The selection of the best atmospheric correction ...
Crop type mapping based on Sentinel-1 backscatter time series
(IEEE, 2018)
info:eu-repo/semantics/conferenceObject,
The high revisit time of Sentinel-1 (S1) observations enables the design of crop type mapping approaches exploiting the backscatter time series observed for the different crops. The objective of this study is to propose a ...