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  • 1
    Monograph available for loan
    Monograph available for loan
    Hannover : Fachrichtung Geodäsie und Geoinformatik, Univ. Hannover
    Associated volumes
    Call number: S 99.0139(261)
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover
    Type of Medium: Monograph available for loan
    Pages: 103 S. , Ill., graph. Darst.
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Universität Hannover 261
    Classification:
    Photogrammetry, Remote Sensing
    Note: Zugl.: Hannover, Univ., Diss., 2006
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 2
    Call number: S 99.0139(361)
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, Nr. 361
    Type of Medium: Series available for loan
    Pages: 108 Seiten , Illustrationen, Diagramme
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover Nr. 361
    Language: English , German
    Note: 1 Introduction 1.1 Motivation 1.2 Problem Statement and Contributions 1.3 Structure 2 State-of-the-art 2.1 Integration of Object Knowledge in Image Space 2.2 Integration of Object Knowledge in Object Space 2.3 Discussion 3 Photogrammetric Pose Estimation with a Generalised Building Model 3.1 Overview 3.2 Hybrid Bundle Adjustment 3.2.1 Modelling Relations of Object Points to Model Planes 3.2.2 Functional Model 3.2.3 Stochastic Model 3.2.4 Robust Estimation 3.2.5 Determination of Initial Values 3.3 Workflow 3.3.1 Global Adjustment 3.3.2 Sliding Window Adjustment 4 Assignment Under Generalisation Effects 4.1 Generalisation Effects 4.2 Direct Assignment: Point-Plane-Matching 4.3 Indirect Assignment: Plane-Plane-Matching 4.3.1 Indirect Assignment without ROIs 4.3.2 Indirect Assignment with ROIs 4.4 Summary of the Assignment Parameters 5 Experiments 5.1 Setup of the experiments 5.1.1 Scenarios 5.1.2 Sequences 5.1.3 Evaluation 5.1.4 Structure of the Experiments 5.2 Dataset 5.2.1 Hardware 5.2.2 Data 5.3 Parameter Settings and Implementation 6 Results and Discussion 6.1 The Short Sequence: Generalisation & Systematic Effects 6.2 The Long Sequence: Generalisation & Systematic Effects, Block Deformations... 6.3 Check Point Errors versus Estimated Standard Deviations 6.4 Sliding Window versus Global Adjustment 6.5 Assignment Strategies 6.6 The Full Sequence 6.7 Parameter Variation 6.7.1 Fictitious Distance Observations of Tie Points 6.7.2 Maximum Distance of Tie Points to Model Planes 6.7.3 Estimation of Vertex Coordinates 6.7.4 Window Size Nws and Overlap AW 7 Conclusion and Outlook , Kurzfassungen in Deutscher und Englischer Sprache
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 3
    Publication Date: 2023-07-19
    Description: Quick response in emergency situations is crucial, because any delay can result in dramatic consequences and potentially human losses. Therefore, many institutions/authorities are relying on development of strategies for emergency management, specially to have a quick response process using modern technologies like unmanned aerial vehicles. A key factor affecting this process is to have a quick geo-situation report of the emergency in real time, which reflects the current emergency situation and supports in right decision-making. Providing such geo-reports is still not an easy task because—in most cases—a priori known spatial data like map data (raster/vector) or geodatabases are outdated, and anyway would not provide an overview on the current situation. Therefore, this paper introduces a management methodology of spatial data focusing on enabling a free access and viewing the data of interest in real time and in situ to support emergency managers. The results of this work are twofold: on the one hand, an automated mechanism for spatial data synchronization and streaming was developed and on the other hand, a spatial data sharing concept was realized using web map tile service. For results assessment, an experimental framework through the joint research project ANKommEn (English acronym: Automated Navigation and Communication for Exploration) was implemented. The assessment procedure was achieved based on specific evaluation criteria like time consumption and performance and showed that the developed methodology can help in overcoming some of existing challenges and addressing the practically relevant questions concerning on the complexity in spatial data sharing and retrieval.
    Description: Bundesministerium für Wirtschaft und Energie http://dx.doi.org/10.13039/501100006360
    Description: Technische Universität Braunschweig (1042)
    Keywords: ddc:526 ; Emergency ; Exploration ; Database ; Data retrieval ; Client interface
    Language: English
    Type: doc-type:article
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  • 4
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    PANGAEA
    In:  Supplement to: Reinosch, Eike; Buckel, Johannes; Dong, Jie; Gerke, Markus; Baade, Jussi; Riedel, Björn (2020): InSAR time series analysis of seasonal surface displacement dynamics on the Tibetan Plateau. The Cryosphere, 14(5), 1633-1650, https://doi.org/10.5194/tc-14-1633-2020
    Publication Date: 2023-01-13
    Description: These datasets display seasonal and multiannual surface displacement models based on microwave data of ESA's Sentinel-1 satellite system. The data was processed via Interferometric Aperture Radar (InSAR) time series techniques, using an adapted version of the Small BAseline Subset (SBAS) algorithm. The purpose of this study is to understand sediment flux mechanics, especially those related to permafrost and periglacial landforms, and how the changing climate may affect these processes in the NamCo area in the future. To that end we developped three surface displacement models. The freeze-thaw model describes seasonal surface displacement caused by freezing and thawing of the active layer in autumn and spring respectively. We observe vertical amplitudes of up to 20 mm in areas, where the water content of the soil is high. The multiannual velocity model shows the mean surface velocity over the entire time period of approximetly 3-4 years. Time series results of regions with a small slopes were decomposed from ascending and descending data to show the surface velocity component in vertical and east-west direction. Time series results of regions with a larger slope were projected in the downslope direction, with the assumption that creep and sliding processes are dominant, which transport sediment along the direction of the steepest slope. Most flat areas are relatively stable but we observe material accumulation near parts of the rivers and subsidence in some permafrost areas, which could be related to permafrost degradation. The fastest landforms are rockglaciers, which move with velocities of up to 24 cm/yr. The third model is the seasonal velocity model, where we compare the line-of-sight velocities of sloped areas in the summer months to the winter months. Most slopes slide signifcantly faster in summer, driven by the thawing ground due to higher air temperature and monsoonal rainfall, while most of the fastest moving landforms move with a constant velocity throughout the year.
    Keywords: Event label; File content; File format; File name; File size; Nam Co basin, Tibetan Plateau; Niyaqu_basin; Qugaqie_basin; SAT; Satellite remote sensing; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 35 data points
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  • 5
    Publication Date: 2020-05-26
    Description: Climate change and the associated rise in air temperature have affected the Tibetan Plateau to a significantly stronger degree than the global average over the past decades. This has caused deglaciation, increased precipitation and permafrost degradation. The latter in particular is associated with increased slope instability and an increase in mass-wasting processes, which pose a danger to infrastructure in the vicinity. Interferometric synthetic aperture radar (InSAR) analysis is well suited to study the displacement patterns driven by permafrost processes, as they are on the order of millimeters to decimeters. The Nyainqêntanglha range on the Tibetan Plateau lacks high vegetation and features relatively thin snow cover in winter, allowing for continuous monitoring of those displacements throughout the year. The short revisit time of the Sentinel-1 constellation further reduces the risk of temporal decorrelation, making it possible to produce surface displacement models with good spatial coverage. We created three different surface displacement models to study heave and subsidence in the valleys, seasonally accelerated sliding and linear creep on the slopes. Flat regions at Nam Co are mostly stable on a multiannual scale but some experience subsidence. We observe a clear cycle of heave and subsidence in the valleys, where freezing of the active layer followed by subsequent thawing cause a vertical oscillation of the ground of up to a few centimeters, especially near streams and other water bodies. Most slopes of the area are unstable, with velocities of 8 to 17 mm yr−1. During the summer months surface displacement velocities more than double on most unstable slopes due to freeze–thaw processes driven by higher temperatures and increased precipitation. Specific landforms, most of which have been identified as rock glaciers, protalus ramparts or frozen moraines, reach velocities of up to 18 cm yr−1. Their movement shows little seasonal variation but a linear pattern indicating that their displacement is predominantly gravity-driven.
    Print ISSN: 1994-0416
    Electronic ISSN: 1994-0424
    Topics: Geography , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 6
    Publication Date: 2019-12-26
    Description: Structural disaster damage detection and characterization is one of the oldest remote sensing challenges, and the utility of virtually every type of active and passive sensor deployed on various air- and spaceborne platforms has been assessed. The proliferation and growing sophistication of unmanned aerial vehicles (UAVs) in recent years has opened up many new opportunities for damage mapping, due to the high spatial resolution, the resulting stereo images and derivatives, and the flexibility of the platform. This study provides a comprehensive review of how UAV-based damage mapping has evolved from providing simple descriptive overviews of a disaster science, to more sophisticated texture and segmentation-based approaches, and finally to studies using advanced deep learning approaches, as well as multi-temporal and multi-perspective imagery to provide comprehensive damage descriptions. The paper further reviews studies on the utility of the developed mapping strategies and image processing pipelines for first responders, focusing especially on outcomes of two recent European research projects, RECONASS (Reconstruction and Recovery Planning: Rapid and Continuously Updated Construction Damage, and Related Needs Assessment) and INACHUS (Technological and Methodological Solutions for Integrated Wide Area Situation Awareness and Survivor Localization to Support Search and Rescue Teams). Finally, recent and emerging developments are reviewed, such as recent improvements in machine learning, increasing mapping autonomy, damage mapping in interior, GPS-denied environments, the utility of UAVs for infrastructure mapping and maintenance, as well as the emergence of UAVs with robotic abilities.
    Electronic ISSN: 2220-9964
    Topics: Architecture, Civil Engineering, Surveying , Geosciences
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  • 7
    Publication Date: 2015-08-01
    Print ISSN: 1545-598X
    Electronic ISSN: 1558-0571
    Topics: Architecture, Civil Engineering, Surveying , Geography , Geosciences
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  • 8
    Publication Date: 2014-03-25
    Electronic ISSN: 1424-8220
    Topics: Chemistry and Pharmacology , Electrical Engineering, Measurement and Control Technology
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  • 9
    Publication Date: 2019-10-18
    Description: Detecting topographic changes in an urban environment and keeping city-level point clouds up-to-date are important tasks for urban planning and monitoring. In practice, remote sensing data are often available only in different modalities for two epochs. Change detection between airborne laser scanning data and photogrammetric data is challenging due to the multi-modality of the input data and dense matching errors. This paper proposes a method to detect building changes between multimodal acquisitions. The multimodal inputs are converted and fed into a light-weighted pseudo-Siamese convolutional neural network (PSI-CNN) for change detection. Different network configurations and fusion strategies are compared. Our experiments on a large urban data set demonstrate the effectiveness of the proposed method. Our change map achieves a recall rate of 86.17%, a precision rate of 68.16%, and an F1-score of 76.13%. The comparison between Siamese architecture and feed-forward architecture brings many interesting findings and suggestions to the design of networks for multimodal data processing.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
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  • 10
    Publication Date: 2019-05-17
    Description: The 6th biennial conference on object-based image analysis—GEOBIA 2016—took place in September 2016 at the University of Twente in Enschede, The Netherlands (see www [...]
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
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