PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
December 2019
855
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
December 2019 Volume 85 Number 12
ANNOUNCEMENTS
853
GeoWeek 2020
ASPRSWorkshops Announced
858
Certification
Join us in welcoming our newest members to ASPRS.
DEPARTMENTS
PEER-REVIEWED ARTICLES
Oussama Ennafii, Arnaud Le Bris, Florent Lafarge, and Clément Mallet
The automatic generation of three-dimensional (3D) building models from geospatial
data is now a standard procedure. However, urban areas are very complex
environments. Inevitably, practitioners have to visually assess, at a city-scale, the
correctness of these models and detect frequent reconstruction errors. Such a process
relies on experts and is highly time-consuming. This paper proposes an approach for
automatically evaluating the quality of 3D building models.
Xiaoxiao Feng, Luxiao He, Ya Zhang, and Yun Tang
Mixed pixels are common in hyperspectral imagery (HSI). Due to the complexity of the
ground object distribution, some endmember extraction methods cannot obtain good
results and the processes are complex. Therefore, this paper proposes an optimization
method for HSI endmember extraction, which improves the accuracy of the results
based on K-singular value decomposition (K-SVD).
Hohyun Jeong, Hoyong Ahn, Dongyoon Shin, Yushin Ahn, and Chuluong Choi
This article evaluates UAV photogrammetry systems using smartphones and smart cameras.
Renata M. S. Alves, Carl Van Colen, Marijn Rabaut,
Alain De Wulf, Magda Vincx, and Cornelis Stal
Intertidal polychaete aggregations may be protected in the European Union under
the Habitats Directive framework as reef habitats. Remote reef mapping remains
challenging due to severe and dynamic conditions, as well as cover and spatial
resolution requirements. This study evaluated kite aerial photography and low-altitude
digital photogrammetry to map and monitor intertidal aggregations of a sessile tube-
building polychaete, Lanice conchilega (L. conchilega), and developed a protocol for its
remote identification.
Yue Sun and Hua Zhang
A two-stage spatiotemporal fusion method for obtaining dense remote sensing images
with both high spatial and temporal resolution is discussed.
COLUMNS
Lidar Elevations for Quick Survey
Dave Maune, Ph.D., CP, GS, PS, and
Al Karlin, Ph.D, CMS-L, GISP
Successful Science in Government:
A Case Study in Remote Sensing
Robert A. Ryerson, Ph.D., FASPRS
