PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
June 2015
423
H I GHL I GHT ART I C L E
Ramesh Sivanpillai
SPEC I AL I SSUE
Ioannis Gitas and Giorgos Mallinis
PE ER - REV I EWED ART I C L ES
Hugo Costa, Giles M. Foody,
and
Doreen S. Boyd
User-specific information on the relative cost of different thematic errors can be
incorporated into image segmentation analysis to enhance object-based classification.
Xueliang Zhang, Xuezhi Feng,
and
Pengfeng Xiao
The adaptively increased scale parameter (AISP) strategy determines scale parameters
dynamically to produce nested multi-scale segmentations for high-spatial resolution
remote sensing images.
Muditha K. Heenkenda, Karen E. Joyce,
and
Stefan W. Maier
Investigating an object-based image analysis approach for isolating mangrove tree
crowns using WorldView-2 satellite imagery and a digital surface model generated from
true color aerial photographs.
Georgia Doxani, Konstantinos Karantzalos,
and
Maria Tsakiri-Strati
A knowledge-based framework based on a single multispectral image and pre-existing
geospatial information towards building change detection.
Argyros Argyridis
and
Demetre P. Argialas
Integration of Fuzzy OWL 2 ontologies with PostgreSQL spatial database, towards
building interpretation from very high-resolution imagery.
George Mitri, Mireille Jazi,
and
David McWethy
An assessment of wildfire risk in Lebanon by employing geospatial biophysical and
climatic data with a Geographic Object-Based Image Analysis approach.
Niels S. Anders, Arie C. Seijmonsbergen,
and
Willem Bouten
A discussion on the transferability of object-based rule sets, with an example of
extracting glacial cirques from digital elevation data.
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 2015 Volume 81 Number 6
APPLICATIONS
PAPER
COLUMNS
ANNOUNCEMENTS
June GeoByte— A Discussion of the
460
USGS Base Lidar Specification, v. 2.0
DEPARTMENTS
Calendar
460
Forthcoming Articles
460
Penn State Electro-Optics
Center Sea, Air and Land
Challenge is an Office of
Naval Research Sponsored
STEM program, in which
teams of high school stu-
dents design and build
robotic vehicles and pay-
loads. The systems are
then used to compete in
challenges that mimic mis-
sions encountered by the
military, national security agencies and first responders.
The background image is of a remote control airplane
used for the Air Challenge. The students were present-
ed with the issue of forest fires that require aerial water
drops. This Challenge provided the students with an op-
portunity to build a payload that could one day perform
these types of task on an unmanned aircraft.
The image in the top inset is a remote control heli-
copter used for the Land and Air Combined Challenge.
The students were presented with the scenario of people
trapped in a city building after an earthquake. The task
was to build a ground robot and a payload (for the heli-
copter) to deliver supplies to the trapped victims.
The images in the bottom two inset are ground robots
designed by students for the Land Challenge. In this sce-
nario it was assumed that people were trapped in a city
building after an earthquake. The task was to find, pick
up, carry and deposit objects in a drop box.
For more information about the Sea, Air and Land
Challenge read the interview on page 432.
Images courtesy of Mayson Kiser Photography.
