PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science
SCIE-ISI SCOPUS (2017-2025)
2512-2819
2512-2789
Cơ quản chủ quản: Springer International Publishing AG , SPRINGER INT PUBL AG
Lĩnh vực:
Geography, Planning and DevelopmentEarth and Planetary Sciences (miscellaneous)Instrumentation
Phân tích ảnh hưởng
Các bài báo tiêu biểu
Classification of ALS Point Clouds Using End-to-End Deep Learning
Tập 87 - Trang 75-90 - 2019
Deep learning, referring to artificial neural networks with multiple layers, is
widely used for classification tasks in many disciplines including computer
vision. The most popular type is the Convolutional Neural Network (CNN),
commonly applied to 2D image data. However, CNNs are difficult to adapt to
irregular data like point clouds. PointNet, on the other hand, has enabled the
derivation of fea...
Duisburg 1566: Transferring a Historic 3D City Model from Google Earth into a Virtual Reality Application
Tập 87 Số 1-2 - Trang 47-56 - 2019
Potential of Large-Scale Inland Water Body Mapping from Sentinel-1/2 Data on the Example of Bavaria’s Lakes and Rivers
Tập 88 Số 3-4 - Trang 271-289 - 2020
AbstractThe mapping of water bodies is an important application area of
satellite-based remote sensing. In this contribution, a simple framework based
on supervised learning and automatic training data annotation is shown, which
allows to map inland water bodies from Sentinel satellite data on large scale,
i.e. on state level. Using the German state of Bavaria as an example and
different combinati...
BathyNet: A Deep Neural Network for Water Depth Mapping from Multispectral Aerial Images
AbstractBesides airborne laser bathymetry and multimedia photogrammetry,
spectrally derived bathymetry provides a third optical method for deriving water
depths. In this paper, we introduce BathyNet, an U-net like convolutional neural
network, based on high-resolution, multispectral RGBC (red, green, blue, coastal
blue) aerial images. The approach combines photogrammetric and radiometric
methods: ...
Estimating Grassland Parameters from Sentinel-2: A Model Comparison Study
Tập 88 Số 5 - Trang 379-390 - 2020
AbstractGrassland plays an important role in German agriculture. The interplay
of ecological processes in grasslands secures important ecosystem functions and,
thus, ultimately contributes to essential ecosystem services. To sustain, e.g.,
the provision of fodder or the filter function of soils, agricultural management
needs to adapt to site-specific grassland characteristics. Spatially explicit
i...
Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds Using Two Deep Neural Networks: PointCNN and 3DmFV-Net
Tập 90 Số 2 - Trang 103-121 - 2022
AbstractKnowledge about tree species distribution is important for forest
management and for modeling and protecting biodiversity in forests. Methods
based on images are inherently limited to the forest canopy. Airborne lidar data
provide information about the trees’ geometric structure, as well as trees
beneath the upper canopy layer. In this paper, the potential of two deep
learning architecture...
Combination of Persistent Scatterer Interferometry and Single-Baseline Polarimetric Coherence Optimisation to Estimate Deformation Rates with Application to Tehran Basin
Tập 85 - Trang 327-340 - 2017
This study reports on the monitoring of land subsidence in a rural area located
in the southwest of the Tehran basin, Iran, by combining a persistent scatterer
interferometry (PSI) method with a single-baseline polarimetric coherence
optimisation. Owing to vegetation coverage in this rural area, coherence level
experiences a decline and the performance and coverage of conventional
interferometry t...
Strategy for Crack Width Measurement of Multiple Crack Patterns in Civil Engineering Material Testing Using a Monocular Image Sequence Analysis
- 2020
AbstractAn image sequence analysis procedure is developed to quantitatively
analyze complex multiple crack patterns in tension tests of fiber-reinforced
composite specimens. Planar textured surfaces of such specimens can be observed
with a monocular image sequence using a camera of suitable spatial and temporal
resolution. Due to the narrow crack paths, a dense high-precision displacement
vector f...