PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
June 2019
403
PHOTOGRAMME TR I C ENG I NE ER I NG & REMOT E SENS I NG
The official journal for imaging and geospatial information science and technology
June 2019 Volume 85 Number 6
FEATURES
PEER-REVIEWED ARTICLES
COLUMNS
This month we look at the Swiss Confederation.
ANNOUNCEMENTS
Join us in welcoming our newest members to
ASPRS.
DEPARTMENTS
Fabio Remondino
and
Isabella Toschi
Shunping Ji, Jin Liu,
and
Meng Lu
The performance of three typical CNN models is evaluated, when applied to deep learn-
ing based dense image matching of aerial stereo images.
Yaping Lin, Francesco Nex,
and
Michael Ying Yang
A Fully Convolutional Network (FCN) applied to oblique airborne images in order to
perform semantic façade segmentation is presented.
Andreas Wichmann, Amgad Agoub, Valentina Schmidt,
and
Martin
Kada
A novel 3D point cloud training dataset, named RoofN3D, is presented to train machine
learning models for different tasks in the context of 3D building reconstruction.
Gottfried Mandlburger
An investigation on Dense Image Matching for through-water DEM generation and the
comparison with topo-bathymetric Lidar data.
Andreas Mayr, Martin Rutzinger,
and
Clemens Geitner
A new method for semantically-supported and multi-temporal landslide monitoring
based on TLS point clouds is presented.
