PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
March 2019
155
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
March 2019 Volume 85 Number 3
FEATURES
PEER-REVIEWED ARTICLES
COLUMNS
This month we look at the Republic of Angola.
ANNOUNCEMENTS
Join us in welcoming our newest members to
ASPRS.
DEPARTMENTS
Chang Li, Xiaojuan Liu,
and
Wei Lu
Key problems in raster-to-vector conversion and cartographic generalization are ad-
dressed with an innovative image-pyramid-based raster-to-vector conversion (IPBRTVC)
framework with quality control for consecutive-scale cartography and synchronized
generalization.
Dimitri Bulatov, Gisela Häufel, Lukas Lucks,
and
Melanie Pohl
Shadows and strong intra-class variations of appearances make land cover classification
from airborne data difficult in urban terrain. This paper proposes an algorithm using
Open Street Map data, superpixel decomposition and a non-local optimization module
operating on Markov Random Fields.
Changkun Yang, Zhaoqin Liu, Kaichang Di, Yexin Wang,
and
Man Peng
Two improved methods of distortion model optimization and depth estimation are pro-
posed for a light field camera. Experimental results show a 30% decrease in projection
error and a 42% decrease in depth error compared with state of art algorithms.
Cristian Guevara Ochoa, Luis Vives, Erik Zimmermann, Ignacio Masson,
Luisa Fajardo,
and
Carlos Scioli
DEMs created from ASTER, STRM, and ALOS PALSAR were used to model surface water
movement in plain areas, with SRTM shown to produce the best results when IDW and
ANUDEM interpolation methods are applied.
Jarrod Edwards, John Anderson, William Shuart,
and
Jason Woolard
This study demonstrates the need for standardized calibration procedures in the spectral
correction of small-format remote sensor data by comparing AIRINOV and Empirical Line
Calibration (ELC) method applied to Parrot Sequoia imagery.
Rui Xiao, Xin Huang, Weixuan Yu, Meng Lin,
and
Zhonghao Zhang
Employing coupling coordination degree model (CCDM), this research attempts to reveal
the interaction relationships between built-up land expansion (BLE) and demograph-
ic-social-economic (DSE) urbanization in Shanghai–Hang-zhou Bay (SHB) Metropolitan
Region.
By Mark Reichardt, and Scott Simmonsn
