English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Improving Sensor Fusion: A Parametric Method for the Geometric Coalignment of Airborne Hyperspectral and Lidar Data

Authors
/persons/resource/brell

Brell,  Maximilian
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/rogass

Rogaß,  C.
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/segl

Segl,  K.
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Bookhagen,  B.
External Organizations;

/persons/resource/guanter

Guanter,  Luis
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

External Ressource
No external resources are shared
Fulltext (public)

1480936.pdf
(Postprint), 3MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Brell, M., Rogaß, C., Segl, K., Bookhagen, B., Guanter, L. (2016): Improving Sensor Fusion: A Parametric Method for the Geometric Coalignment of Airborne Hyperspectral and Lidar Data. - IEEE Transactions on Geoscience and Remote Sensing, 54, 6, 3460-3474.
https://doi.org/10.1109/TGRS.2016.2518930


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_1480936
Abstract
There is no abstract available