2 citations · 2 across the 5 of their papers we have counts for
5 papers
Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms
Saad Ahmed Jamal
Light Detection and Ranging (LiDAR) are fast emerging sensors in the field of Earth Observation. It is a remote sensing technology that utilizes laser beams to measure distances an…
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data
Wei-Hsin Tseng, Hoàng-Ân Lê, Alexandre Boulch +2
It is of interest to localize a ground-based LiDAR point cloud on remote sensing imagery. In this work, we tackle a subtask of this problem, i.e. to map a digital elevation model (…
Automated Linear-Time Detection and Quality Assessment of Superpixels in Uncalibrated True- or False-Color RGB Images
Andrea Baraldi, Dirk Tiede, Stefan Lang
Capable of automated near real time superpixel detection and quality assessment in an uncalibrated monitor typical red green blue (RGB) image, depicted in either true or false colo…
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 2 Validation
Andrea Baraldi, Michael Laurence Humber, Dirk Tiede +1
The European Space Agency (ESA) defines an Earth Observation (EO) Level 2 product as a multispectral (MS) image corrected for geometric, atmospheric, adjacency and topographic effe…
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 1 Theory
Andrea Baraldi, Michael Laurence Humber, Dirk Tiede +1
The European Space Agency (ESA) defines an Earth Observation (EO) Level 2 product as a multispectral (MS) image corrected for geometric, atmospheric, adjacency and topographic effe…