3D CLASSIFICATION OF CROSSROADS FROM MULTIPLE AERIAL IMAGES USING MARKOV RANDOM FIELDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The precise classification and reconstruction of crossroads from multiple aerial images is a challenging problem in remote sensing. We apply the Markov Random Fields (MRF) approach to this problem, a probabilistic model that can be used to consider ...
S. Kosov +4 more
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Preserving the impossible: conservation of soft-sediment hominin footprint sites and strategies for three-dimensional digital data capture. [PDF]
, 2013 Human footprints provide some of the most publically emotive and tangible evidence of our ancestors. To the scientific community they provide evidence of stature, presence, behaviour and in the case of early hominins potential evidence with respect to ...
AH Gonzalez +45 more
core +2 more sources
SLAM for Indoor Mapping of Wide Area Construction Environments [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesSimultaneous localization and mapping (SLAM), i.e., the reconstruction of the environment represented by a (3D) map and the concurrent pose estimation, has made astonishing progress.
V. Ress +4 more
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The urban heritage characterization using 3D geographic information systems. The system of medium-sized cities in Andalusia [PDF]
, 2018 The primary objective of this paper is to approach the use of the 3D Geographic Information Systems (3D GIS), as an instrumental tool that allows us to deal efficiently with the extensive amount of information that characterises a large part of the ...
Del Espino Hidalgo, Blanca +3 more
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Generating Oriented Pointsets From Redundant Depth Maps Using Restricted Quadtrees [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 In this article we present an algorithm for the fusion of depth images derived by dense image matching (DIM). One key idea of our algorithm is to generate a 2D triangulation for each available depth map in the image sequence using a restricted quadtrees (
M. Rothermel, N. Haala, D. Fritsch
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Self-correction of 3D reconstruction from multi-view stereo images [PDF]
, 2009 We present a self-correction approach to improving the 3D reconstruction of a multi-view 3D photogrammetry system. The self-correction approach has been able to repair the reconstructed 3D surface damaged by depth discontinuities.
Ayoub, A.F. +3 more
core +1 more source
QUALITY OF 3D POINT CLOUDS FROM HIGHLY OVERLAPPING UAV IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 UAVs are becoming standard platforms for photogrammetric data capture especially while aiming at large scale aerial mapping for areas of limited extent.
N. Haala, M. Cramer, M. Rothermel
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Historical SDI, thematic maps and analysis of a complex network of medieval towers (13th-15th century) in the moorish strip [PDF]
, 2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4, 2018 ISPRS TC IV Mid-term Symposium “3D Spatial Information Science – The Engine of Change”, 1–5 October 2018, Delft, The NetherlandsThis ...
Ferreira Lopes, Patricia +1 more
core +2 more sources
Monitoring of Building Construction by 4D Change Detection Using Multi-temporal SAR Images [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Monitoring urban changes is important for city management, urban planning, updating of cadastral map, etc. In contrast to conventional field surveys, which are usually expensive and slow, remote sensing techniques are fast and cost-effective alternatives.
C. H. Yang, Y. Pang, U. Soergel
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BEYOND HAND-CRAFTED FEATURES IN REMOTE SENSING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 A basic problem of image classification in remote sensing is to select suitable image features. However, modern classifiers such as AdaBoost allow for feature selection driven by the training data.
P. Tokarczyk +3 more
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