FN Archimer Export Format
PT C
TI Hyperspectral 3D Mapping of Underwater Environments
BT 
AF FERRERA, Maxime
   ARNAUBEC, Aurelien
   Istenic, Klemen
   Gracias, Nuno
   BAJJOUK, Touria
AS 1:1;2:1;3:2;4:2;5:1;
FF 1:PDG-DFO-SM-PRAO;2:PDG-DFO-SM-PRAO;3:;4:;5:PDG-ODE-DYNECO-LEBCO;
C1 French Research Institute for Exploitation of the Sea (IFREMER), France
   Research Centre in Underwater Robotics (CIRS), University of Girona, Spain
C2 IFREMER, FRANCE
   UNIV GIRONA, SPAIN
SI TOULON
   BREST
SE PDG-DFO-SM-PRAO
   PDG-ODE-DYNECO-LEBCO
IN WOS Ifremer UPR
   copubli-europe
UR https://archimer.ifremer.fr/doc/00728/83974/88925.pdf
LA English
DT Proceedings paper
AB Hyperspectral imaging has been increasingly used for underwater survey applications over the past years. As many hyperspectral cameras work as push-broom scanners, their use is usually limited to the creation of photo-mosaics based on a flat surface approximation and by interpolat- ing the camera pose from dead-reckoning navigation. Yet, because of drift in the navigation and the mostly wrong flat surface assumption, the quality of the obtained photo- mosaics is often too low to support adequate analysis. In this paper we present an initial method for creating hyper- spectral 3D reconstructions of underwater environments. By fusing the data gathered by a classical RGB camera, an inertial navigation system and a hyperspectral push- broom camera, we show that the proposed method creates highly accurate 3D reconstructions with hyperspectral tex- tures. We propose to combine techniques from simultaneous localization and mapping, structure-from-motion and 3D reconstruction and advantageously use them to create 3D models with hyperspectral texture, allowing us to overcome the flat surface assumption and the classical limitation of dead-reckoning navigation. 
PY 2021
CT Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021, pp. 3696-3705
DI 10.1109/ICCVW54120.2021.00413
ID 83974
ER

EF