PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
October 2019
703
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
October 2019 Volume 85 Number 10
FEATURES
PEER-REVIEWED ARTICLES
ANNOUNCEMENTS
Join us in welcoming our newest members to
ASPRS.
DEPARTMENTS
Heng Wan, Yang Shao, James B. Campbell,
and
Xinwei Deng
Annual urban change information is important for an improved understanding of urban
dynamics and continuous modelling of urban ecosystem processes. This study examines
Landsat-derived annual NDVI time series for characterizing annual urban change.
Ming Hao, Jian Jin, Mengchao Zhou, Yi Tian,
and
Wenzhong Shi
Image registration is an indispensable component of remote sensing applications, such
as disaster monitoring, change detection, and classification. Grayscale differences and
geometric distortions often occur among multisource images due to their different imag-
ing mechanisms, thus making it difficult to acquire feature points and match correspond-
ing points. This thesis proposes a scene shape similarity feature (SSSF) descriptor based
on scene shape features and shape context algorithms.
Yihua Tan, Shengzhou Xiong, Zhi Li, Jinwen Tian,
and
Yansheng Li
The analysis of built-up area has always been a popular research topic for remote sensing
applications. Additionally, built-up area extraction from high-resolution remote sensing
images is important for many applications. In recent decades, a large number of automatic
schemes for the extraction of built-up areas have been proposed. In this paper, a fully
convolutional network (FCN)-based strategy is proposed to address built-up area extraction.
Marcela do Valle Machado, Antonio Maria Garcia Tommaselli, Fernan-
da Magri Torres,
and
Mariana Batista Campos
Synchronization of Airborne Laser Scanning (ALS) devices is a critical process that
directly affects the data accuracy. An alternative to synchronization is performing a
post-processing clock correction. This paper presents a technique for post-processing
synchronization (offline) that estimates clock differences based on the correlation
between the signals from the Global Navigation Satellite Systems (GNSS) trajectory
and the Light Detection and Ranging (LiDAR) range, followed by refinement with a Least
Squares Method.
Yongjun Zhang, Zhi Zheng, Yimin Luo, Yanfeng Zhang, Jun Wu,
and
Zhiyong Peng
Previous works for sub-pixel level Digital Surface Model (DSM) generation mainly focus
on data fusion techniques, which are extremely limited by the difficulty of multi-source
data acquisition. Although several DSM super resolution (SR) methods have been devel-
oped to ease the problem, a new issue that plenty of DSM samples are needed to train
the model is raised. Therefore, considering the original images have vital influence on its
DSM’s accuracy, we address the problem by directly improving images resolution.
By Nagaraja Rao Harshadeep
COLUMNS
This month we look at Japan.
The Column of the Student Advisory Council.
