Results 11 to 20 of about 148,027 (286)
SUPERVISED OUTLIER DETECTION IN LARGE-SCALE MVS POINT CLOUDS FOR 3D CITY MODELING APPLICATIONS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 We propose to use a discriminative classifier for outlier detection in large-scale point clouds of cities generated via multi-view stereo (MVS) from densely acquired images.
C. Stucker +3 more
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LEARNING FROM THE PAST: CROWD-DRIVEN ACTIVE TRANSFER LEARNING FOR SEMANTIC SEGMENTATION OF MULTI-TEMPORAL 3D POINT CLOUDS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 The main bottleneck of machine learning systems, such as convolutional neural networks, is the availability of labeled training data. Hence, much effort (and thus cost) is caused by setting up proper training data sets.
M. Kölle, V. Walter, U. Soergel
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Remote Sensing, 2023 The International GNSS Service analysis centers provide orbit products of GPS satellites with weekly, daily, and sub-daily latency. The most frequent ultra-rapid products, which include 24 h of orbits derived from observations and 24 h of orbit ...
Junyang Gou +6 more
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ESTIMATING WOOD VOLUME FOR PINUS BRUTIA TREES IN FOREST STANDS FROM QUICKBIRD-2 IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Knowledge of forest parameters, such as wood volume, is required for a sustainable forest management. Collecting such information in the field is laborious and even not feasible in inaccessible areas.
P. Patias, P. Stournara
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NETWORK DETECTION IN RASTER DATA USING MARKED POINT PROCESSES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 We propose a new approach for the automatic detection of network structures in raster data. The model for the network structure is represented by a graph whose nodes and edges correspond to junction-points and to connecting line segments, respectively ...
A. Schmidt +4 more
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Geometric processing workflow for vertical and oblique hyperspectral frame images collected using UAV [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Remote sensing based on unmanned airborne vehicles (UAVs) is a rapidly developing field of technology. UAVs enable accurate, flexible, low-cost and multiangular measurements of 3D geometric, radiometric, and temporal properties of land and vegetation ...
L. Markelin +4 more
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EVALUATION AND OPTIMISATION OF CROWD-BASED COLLECTION OF TREES FROM 3D POINT CLOUDS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The term "Crowdsourcing" goes back to Jeff Howe (Howe, 2006) and represents a neologism of the words "crowd" and "outsourcing". Unlike outsourcing, where companies outsource certain tasks to known third parties, crowdsourcing outsources tasks to unknown ...
V. Walter, M. Kölle, Y. Yin
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Research on a Dynamic Calibration Method for Photogrammetry Based on Rotary Motion
Applied Sciences, 2023 Photogrammetry as an engineering measurement technology for the rapid and non-contact acquisition of geometric parameters, such as the attitude, position, and shape of a measured object, is widely used in the development and production processes of the ...
Jia Ou +6 more
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TRANSFORMER MODELS FOR MULTI-TEMPORAL LAND COVER CLASSIFICATION USING REMOTE SENSING IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 The pixel-wise classification of land cover, i.e. the task of identifying the physical material of the Earth’s surface in an image, is one of the basic applications of satellite image time series (SITS) processing.
M. Voelsen +3 more
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AUTOMATIC CLASSIFICATION OF AERIAL IMAGERY FOR URBAN HYDROLOGICAL APPLICATIONS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 In this paper we investigate the potential of automatic supervised classification for urban hydrological applications. In particular, we contribute to runoff simulations using hydrodynamic urban drainage models. In order to assess whether the capacity of
A. Paul +8 more
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