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Dr. Peter Hofmann, Dipl.-Geogr.

Centre for Applied Research

Applied Computer Science & Bionics - Technology Campus Freyung

Academic Staff

TCF

08551/91764-15

Sortierung:
Beitrag in Sammelwerk/Tagungsband

  • M. Novàk
  • J. Geyer
  • M. Prokýšek
  • M. Hais
  • S. Gril
  • M. Davidková
  • P. Doležal
  • Peter Hofmann
  • Rajan Paudyal

Construction of a Multisensor UAV System for Early Detection of Forest Pests

In: Advances in Intelligent Systems and Computing V. Selected Papers from the International Conference on Computer Science and Information Technologies (CSIT 2020) (Advances in Intelligent Systems and Computing) pg. 1164-1182.

Cham, Switzerland

  • (2020)
  • TC Freyung
  • DIGITAL
  • MOBIL
Beitrag in Sammelwerk/Tagungsband

  • M. Novàk
  • M. Prokýšek
  • P. Doležal
  • M. Hais
  • S. Gril
  • M. Davídková
  • J. Geyer
  • Peter Hofmann
  • Rajan Paudyal

Multisensor UAV System for the Forest Monitoring

pg. 293-296.

  • (2020)

DOI: 10.1109/ACIT49673.2020.9208993

In recent years, unmanned aerial vehicles (UAV) of various shapes, sizes and functions have been increasingly used for civilian applications in a wide range of fields. UAVs are flexible, inexpensive, with the ability to carry high resolution sensing systems. UAVs fill the gap between manned aircraft and satellite remote sensing systems. When searching for new methodologies, especially in forestry research, UAVs are a unique platform. Remote forest sensing, forest mapping, forest precise measurement, forest fire monitoring and support for intensive forest management are areas in which remote sensing is fully utilized. The advantages of remote sensing are mainly low material and operating costs, flexible space and time deployment, and high intensity data collection. In order to move remote sensing applications from the experimental phase into real deployment, it is necessary to come up with new methodologies that can be determined using UAVs.
  • TC Freyung
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • Wolfgang Dorner
  • Luis Ramirez Camargo
  • Peter Hofmann

Can Geoinformation Help to Better Protect Informal Settlements? - A Concept For the City of Medellín

In: Gi4DM 2019 – GeoInformation for Disaster Management. null (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences) pg. 115-120.

  • (2019)

DOI: 10.5194/isprs-archives-XLII-3-W8-115-2019

New contributions to disaster research need to address the increasing vulnerability of informal settlements in a changing climate situation. Informal settlements are frequently built in hazardous areas and are often left out of traditional disaster risk management concepts. Hence, formal and informal societal structures, as well as technical systems to warn against, handle or mitigate natural hazards, need to evolve. Within the project Inform@Risk we are addressing these issues based on a case study in Medellín (Colombia). Here, as a result of civil conflicts informal dwellings were partly constructed by people displaced from rural areas. They are mainly located in the urban peripheral areas along steep and unstable slopes, where the resettlement of all inhabitants at risk of landslides is unfeasible. This contribution presents the technical infrastructure and the concept to incorporate geodata from different sources in an integrated landslide early warning system for some selected informal settlements of Medellin. Special attention is given to possibilities on how building societal institutions, supported by information systems, increases local resilience. Using geoformation as a basis, we will combine classical participatory planning methods with digitally assisted concepts. These include combining satellite and UAS based remote sensing data with terrestrial sensor networks, crowd sourcing and citizen science to collect volunteered geographic information about the settlement and its environmental parameters, as well as distribute this information and disseminate warnings to the local population.
  • TC Freyung
  • Angewandte Informatik
  • DIGITAL
Zeitschriftenartikel

  • A. Dudkiewicz
  • A. Lehner
  • Q. Chaudhry
  • K. Molhave
  • G. Allmaier
  • K. Tiede
  • Boxall, A. B. A.
  • Peter Hofmann
  • J. Lewis

Development of a sample preparation approach to measure the size of nanoparticle aggregates by electron microscopy . [Available online 29 November 2018]

In: Particuology

  • (2018)

DOI: 10.1016/j.partic.2018.05.007

Electron microscopy (EM) is widely used for nanoparticle (NP) sizing. Following an initial assessment of two sample preparation protocols described in the current literature as “unperturbed”, we found that neither could accurately measure the size of NPs featuring a broad size distribution, e.g., aggregates. Because many real-world NP samples consist of aggregates, this finding was of considerable concern. The data showed that the protocols introduced errors into the measurement by either inducing agglomeration artefacts or providing a skewed size distribution towards small particles (skewing artefact). The focus of this work was to develop and apply a mathematical refinement to correct the skewing artefact. This refinement provided a much improved agreement between EM and a reference methodology, when applied to the measurement of synthetic amorphous silica NPs. Further investigation, highlighted the influence of NP chemistry on the refinement. This study emphasised the urgent need for greater and more detailed consideration regarding the sample preparation of NP aggregates to routinely achieve accurate measurements by EM. This study also provided a novel refinement solution applicable to the size characterisation of silica and citrate-coated gold NPs featuring broad size distributions. With further research, this approach could be extended to other NP types
  • Elektrotechnik und Medientechnik
  • TC Freyung
  • NACHHALTIG
Beitrag in Sammelwerk/Tagungsband

  • Peter Hofmann
  • G. Bekkarnayeva

Object-Based Change Detection of Informal Settlements

  • (2017)
  • TC Freyung
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • Peter Hofmann

A Fuzzy Belief-Desire-Intention Model for Agent-Based Image Analysis (Chapter 14)

  • (2017)
  • TC Freyung
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • G.A.O.P. Costa
  • Peter Hofmann
  • P. Happ
  • R. Feitosa

An object-based meta knowledge model for a distributed image interpretation system

  • (2016)
  • TC Freyung
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • Peter Hofmann
  • V. Andrejchenko
  • P. Lettmayer
  • M. Schmitzberger
  • M. Gruber
  • I. Ozan
  • M. Belgiu
  • R. Graf
  • T. Lampoltshammer
  • S. Wegenkittl

Agent based image analysis (ABIA)-preliminary research results from an implemented framework

  • (2016)
  • TC Freyung
  • DIGITAL
Zeitschriftenartikel

  • R. Marschallinger
  • P. Schmidt
  • Peter Hofmann
  • C. Zimmer
  • P. Atkinson
  • J. Sellner
  • E. Trinka
  • M. Mühlau

A MS-lesion pattern discrimination plot based on geostatistics

In: Brain and Behaviour vol. 6

  • (2016)
  • TC Freyung
  • DIGITAL
Zeitschriftenartikel

  • Peter Hofmann

Defuzzification Strategies for Fuzzy Classifications of Remote Sensing Data

In: Remote Sensing vol. 8 pg. 467-490.

  • (2016)

DOI: 10.3390/rs8060467

The classes in fuzzy classification schemes are defined as fuzzy sets, partitioning the feature space through fuzzy rules, defined by fuzzy membership functions. Applying fuzzy classification schemes in remote sensing allows each pixel or segment to be an incomplete member of more than one class simultaneously, i.e., one that does not fully meet all of the classification criteria for any one of the classes and is member of more than one class simultaneously. This can lead to fuzzy, ambiguous and uncertain class assignation, which is unacceptable for many applications, indicating the need for a reliable defuzzification method. Defuzzification in remote sensing has to date, been performed by “crisp-assigning” each fuzzy-classified pixel or segment to the class for which it best fulfills the fuzzy classification rules, regardless of its classification fuzziness, uncertainty or ambiguity (maximum method). The defuzzification of an uncertain or ambiguous fuzzy classification leads to a more or less reliable crisp classification. In this paper the most common parameters for expressing classification uncertainty, fuzziness and ambiguity are analysed and discussed in terms of their ability to express the reliability of a crisp classification. This is done by means of a typical practical example from Object Based Image Analysis (OBIA).
  • TC Freyung
  • DIGITAL
Zeitschriftenartikel

  • A. Dudkiewicz
  • Boxall, A. B. A.
  • Q. Chaudhry
  • K. Mølhave
  • K. Tiede
  • Peter Hofmann
  • Linsinger, T. P. J.

Uncertainties of size measurements in electron microscopy characterization of nanomaterials in foods

In: Food Chemistry vol. 176 pg. 472-479.

  • (2015)

DOI: 10.1016/j.foodchem.2014.12.071

Electron microscopy is a recognized standard tool for nanomaterial characterization, and recommended by the European Food Safety Authority for the size measurement of nanomaterials in food. Despite this, little data have been published assessing the reliability of the method, especially for size measurement of nanomaterials characterized by a broad size distribution and/or added to food matrices. This study is a thorough investigation of the measurement uncertainty when applying electron microscopy for size measurement of engineered nanomaterials in foods. Our results show that the number of measured particles was only a minor source of measurement uncertainty for nanomaterials in food, compared to the combined influence of sampling, sample preparation prior to imaging and the image analysis. The main conclusion is that to improve the measurement reliability, care should be taken to consider replications and matrix removal prior to sample preparation.
  • TC Freyung
  • NACHHALTIG
Beitrag in Sammelwerk/Tagungsband

  • Peter Hofmann
  • H. Taubenböck
  • C. Werthmann

Monitoring and Modelling of Informal Settlements – a Review on Recent Developments and Challenges

  • (2015)
  • TC Freyung
  • DIGITAL
Zeitschriftenartikel

  • Peter Hofmann
  • P. Lettmayer
  • T. Blaschke
  • M. Belgiu
  • S. Wegenkittl
  • R. Graf
  • T. Lampoltshammer
  • V. Andrejchenko

Towards a framework for agent-based image analysis of remote-sensing data

In: International Journal of Image and Data Fusion vol. 6 pg. 115-137.

  • (2015)

DOI: 10.1080/19479832.2015.1015459

Object-based image analysis (OBIA) as a paradigm for analysing remotely sensed image data has in many cases led to spatially and thematically improved classification results in comparison to pixel-based approaches. Nevertheless, robust and transferable object-based solutions for automated image analysis capable of analysing sets of images or even large image archives without any human interaction are still rare. A major reason for this lack of robustness and transferability is the high complexity of image contents: Especially in very high resolution (VHR) remote-sensing data with varying imaging conditions or sensor characteristics, the variability of the objects’ properties in these varying images is hardly predictable. The work described in this article builds on so-called rule sets. While earlier work has demonstrated that OBIA rule sets bear a high potential of transferability, they need to be adapted manually, or classification results need to be adjusted manually in a post-processing step. In order to automate these adaptation and adjustment procedures, we investigate the coupling, extension and integration of OBIA with the agent-based paradigm, which is exhaustively investigated in software engineering. The aims of such integration are (a) autonomously adapting rule sets and (b) image objects that can adopt and adjust themselves according to different imaging conditions and sensor characteristics. This article focuses on self-adapting image objects and therefore introduces a framework for agent-based image analysis (ABIA).
  • TC Freyung
  • DIGITAL
Zeitschriftenartikel

  • R. Marschallinger
  • S. Golaszewski
  • A. Kunz
  • M. Kronbichler
  • G. Ladurner
  • Peter Hofmann
  • E. Trinka
  • M. McCoy
  • J. Kraus

Usability and Potential of Geostatistics for Spatial Discrimination of Multiple Sclerosis Lesion Patterns

In: Journal of Neuroimaging vol. 24 pg. 278-286.

  • (2014)
  • TC Freyung
Zeitschriftenartikel

  • M. Belgiu
  • B. Hofer
  • Peter Hofmann

Coupling formalized knowledge bases with object-based image analysis

In: Remote Sensing Letters vol. 5 pg. 530-538.

  • (2014)

DOI: 10.1080/2150704X.2014.930563

Object-based image analysis (OBIA) is a widely used method for knowledge-based interpretation of very high resolution imagery. It relies on expert knowledge to classify the desired classes from the imagery at hand. The definition of classes is subjective, usually project-specific and not shared with the community. Ontologies as a form of knowledge representation technique are acknowledged as solution to establish and document class definitions independently of an OBIA framework. However, ontologies have not yet been strongly integrated in this image analysis framework. This paper presents a method to automatically integrate ontologies in OBIA. The method has been implemented as a tool to be used with the eCognition® software (Trimble, Sunnyvale, CA, USA). A case study was conducted for classifying the land cover classes defined by the Environment Agency of Austria in the Land Information System Austria (LISA) project using WorldView-2 image. The strength of this approach is the direct integration of ontologies into the OBIA process, which reduces the effort necessary to define the classes for image analysis and simultaneously reduces its subjectivity.
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • C. Leitner
  • Peter Hofmann
  • R. Marschallinger

3D-Modeling of deformed halite hopper crystals: Object based image analysis and support vector machine, a first evaluation

pg. 5210.

  • (2014)
  • TC Freyung
Zeitschriftenartikel

  • C. Leitner
  • Peter Hofmann
  • R. Marschallinger

3D-modeling of deformed halite hopper crystals by Object Based Image Analysis

In: Computers & Geosciences vol. 73 pg. 61-70.

  • (2014)
  • TC Freyung
Zeitschriftenartikel

  • Peter Hofmann
  • P. Lettmayer
  • T. Blaschke
  • M. Belgiu
  • S. Wegenkittl
  • R. Graf
  • T. Lampoltshammer
  • V. Andrejchenko

ABIA – A Conceptual Framework for Agent Based Image Analysis

In: South-Eastern European Journal of Earth Observation and Geomatics vol. 3 pg. 125-130.

  • (2014)
  • TC Freyung
Zeitschriftenartikel

  • Peter Hofmann
  • D. Tiede

Image Segmentation Based on Hexagonal Sampling Grids

In: South-Eastern European Journal of Earth Observation and Geomatics vol. 3 pg. 173-178.

  • (2014)
  • TC Freyung
Zeitschriftenartikel

  • T. Blaschke
  • G. Hay
  • M. Kelly
  • S. Lang
  • Peter Hofmann
  • E. Addink
  • R. Queiroz Feitosa
  • van der Meer, F.
  • van der Werff, H.
  • F. van Coillie
  • D. Tiede

Geographic Object-Based Image Analysis – Towards a new paradigm

In: ISPRS Journal of Photogrammetry and Remote Sensing vol. 87 pg. 180-191.

  • (2014)

DOI: 10.1016/j.isprsjprs.2013.09.014

The amount of scientific literature on (Geographic) Object-based Image Analysis – GEOBIA has been and still is sharply increasing. These approaches to analysing imagery have antecedents in earlier research on image segmentation and use GIS-like spatial analysis within classification and feature extraction approaches. This article investigates these development and its implications and asks whether or not this is a new paradigm in remote sensing and Geographic Information Science (GIScience). We first discuss several limitations of prevailing per-pixel methods when applied to high resolution images. Then we explore the paradigm concept developed by Kuhn (1962) and discuss whether GEOBIA can be regarded as a paradigm according to this definition. We crystallize core concepts of GEOBIA, including the role of objects, of ontologies and the multiplicity of scales and we discuss how these conceptual developments support important methods in remote sensing such as change detection and accuracy assessment. The ramifications of the different theoretical foundations between the ‘per-pixel paradigm’ and GEOBIA are analysed, as are some of the challenges along this path from pixels, to objects, to geo-intelligence. Based on several paradigm indications as defined by Kuhn and based on an analysis of peer-reviewed scientific literature we conclude that GEOBIA is a new and evolving paradigm.
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • Peter Hofmann

Defining robustness measures for OBIA framework: A case study for detecting informal settlements

In: Global urban monitoring and assessment through earth observation. null (Remote sensing applications series) vol. Chapter 16 pg. 303-324.

Boca Raton, Fla

  • (2014)

DOI: 10.1201/b17012-21

  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • R. Marschallinger
  • S. Golaszewski
  • A. Kunz
  • Peter Hofmann
  • J. Kraus

Some Brainwork: Geostatistics for Fingerprinting MS Lesion Patterns in Space and Time

  • (2013)
  • TC Freyung
Zeitschriftenartikel

  • Peter Hofmann
  • R. Marschallinger
  • M. Unterwurzacher
  • F. Zobl

Marble provenance designation with Object Based Image Analysis: State-of-the-art rock fabric characterization from petrographic micrographs

In: Austrian Journal of Earth Sciences vol. 106/2 pg. 40-49.

  • (2013)
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • Peter Hofmann
  • T. Blaschke

Object based change detection using temporal linkages

pg. 634-638.

  • (2012)
  • TC Freyung
Zeitschriftenartikel

  • Peter Hofmann
  • J. Strobl
  • A. Nazarkulova

Mapping green spaces in Bishkek—how reliable can spatial analysis be?

In: Remote Sensing vol. 3 pg. 1088-1103.

  • (2011)

DOI: 10.3390/rs3061088

Within urban areas, green spaces play a critically important role in the quality of life. They have remarkable impact on the local microclimate and the regional climate of the city. Quantifying the ‘greenness’ of urban areas allows comparing urban areas at several levels, as well as monitoring the evolution of green spaces in urban areas, thus serving as a tool for urban and developmental planning. Different categories of vegetation have different impacts on recreation potential and microclimate, as well as on the individual perception of green spaces. However, when quantifying the ‘greenness’ of urban areas the reliability of the underlying information is important in order to qualify analysis results. The reliability of geo-information derived from remote sensing data is usually assessed by ground truth validation or by comparison with other reference data. When applying methods of object based image analysis (OBIA) and fuzzy classification, the degrees of fuzzy membership per object in general describe to what degree an object fits (prototypical) class descriptions. Thus, analyzing the fuzzy membership degrees can contribute to the estimation of reliability and stability of classification results, even when no reference data are available. This paper presents an object based method using fuzzy class assignments to outline and classify three different classes of vegetation from GeoEye imagery. The classification result, its reliability and stability are evaluated using the reference-free parameters Best Classification Result and Classification Stability as introduced by Benz et al. in 2004 and implemented in the software package eCognition (www.ecognition.com). To demonstrate the application potentials of results a scenario for quantifying urban ‘greenness’ is presented.
  • TC Freyung
Zeitschriftenartikel

  • R. Marschallinger
  • Peter Hofmann
  • G. Daxner-Höck
  • R. Ketcham

Solid modeling of fossil small mammal teeth

In: Computers & Geosciences vol. 37 pg. 1364-1371.

  • (2011)
  • TC Freyung
Zeitschriftenartikel

  • Peter Hofmann
  • T. Blaschke
  • J. Strobl

Quantifying the robustness of fuzzy rule sets in object-based image analysis

In: International Journal of Remote Sensing vol. 32 pg. 7359-7381.

  • (2011)

DOI: 10.1080/01431161.2010.523727

Object-based image analysis (OBIA) has become very popular since the turn of the century. For high-resolution situations, in particular, where the objects of interest are larger than pixels, methods have been developed that build on image segmentation and on the further classification of objects rather than on pixels. Many studies have shown that OBIA methods are, in principle, more transferable and reapplicable to other images. To obtain comparable results by reapplying a given rule set on (slightly) changed conditions, the rule set must either be able to adapt to the changed conditions or it must be parameterized for manual adaptation. In this context, a rule set can be seen as the more robust the less it has to be changed, and vice versa. In this article we introduce a new method to evaluate the robustness of a rule set. The main assumption is that the amount of necessary adaptations can be measured in conjunction with the quality of classification achieved. We demonstrate that the method introduced is able to (1) evaluate the robustness of a rule set and (2) identify crucial elements of a rule set that need to be reparameterized.
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • Peter Hofmann
  • R. Marschallinger
  • G. Daxner-Höck

3D Volumen-Modellierung fossiler Kleinsäugerzähne mittels Mikro-Computertomographie und objektbasierter Bildanalyse

  • (2011)
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • Peter Hofmann
  • R. Marschallinger
  • M. Unterwurzacher
  • F. Zobl

Designation of marble provenance: State-of-the-art rock fabric characterization in thin sections by object based image analysis

pg. 1-14.

  • (2011)
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • A. Nazarkulova
  • J. Strobl
  • Peter Hofmann

Green Spaces in Bishkek - A Satellite Perspective

  • (2010)
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • R. Marschallinger
  • Peter Hofmann

The application of object based image analysis to petrographic micrographs

In: Microscopy. Science, technology, applications and education. null (Microscopy Book Series) pg. 1526-1532.

Badajoz

  • (2010)
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • G. Atay
  • J. Wegner
  • P. Lohmann
  • Peter Hofmann
  • U. Sörgel

Comparison of pixel based and feature based fusion of high resolution optical and SAR imagery

pg. 214-219.

Turkey

  • (2009)
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • C. Heipke
  • Peter Hofmann
  • P. Lohmann
  • S. Müller

Concepts of an Object-Based Change Detection Process Chain for GIS Update

  • (2008)
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • P. Lohmann
  • Peter Hofmann
  • S. Müller

Updating GIS by object-based change detection

pg. 81-86.

  • (2008)
  • TC Freyung
Zeitschriftenartikel

  • Peter Hofmann
  • P. Lohmann
  • S. Müller

Concepts of an object-based change detection process chain for GIS update

In: International Archives of Photogrammetry and Remote Sensing vol. 37 pg. 305-312.

  • (2008)
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • Peter Hofmann
  • P. Lohmann
  • S. Müller

Change Detection by Object-Based Change Indications

vol. 8 pg. 4-7.

  • (2008)
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • Peter Hofmann
  • J. Strobl
  • T. Blaschke
  • H. Kux

Detecting informal settlements from Quickbird data in Rio de Janeiro using an object based approach

In: Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications. null (Lecture Notes in Geoinformation and Cartography) pg. 531-553.

Berlin, Heidelberg

  • (2008)

DOI: 10.1007/978-3-540-77058-9_29

  • TC Freyung
Zeitschriftenartikel

  • O. Buescher
  • O. Buck
  • P. Lohmann
  • Peter Hofmann
  • S. Mueller
  • R. Schenkel
  • C. Weise

Change Detection for Updating DeCOVER Object Classes

In: Photogrammetrie, Fernerkundung, Geoinformation (PFG) pg. 395-407.

  • (2008)
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • T. Blaschke
  • Peter Hofmann
  • I. Georg
  • E. Schöpfer
  • D. Tiede
  • S. Lang
  • M. Möller
  • E. Araújo
  • H. Kux

Möglichkeiten und Grenzen der Fernerkundung für das Monitoring und Safeguarding informeller Siedlungen: Eine Synthese

In: Vorträge Dreiländertagung/27. Wissenschaftlich-Technische Jahrestagung der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e. V. (DGPF) [19.-21.06.2007; Basel-Muttenz, Schweiz]. null (Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e. V. (DGPF)) pg. 361-374.

  • (2007)
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • M. Ridd
  • E. Bjorgo
  • L. Camp
  • D. Card
  • J. Chung
  • E. Dudley-Murphy
  • R. Gillies
  • J. Hipple
  • M. Hernandez
  • Peter Hofmann

Documenting Dynamics of Human Settlements (Chapter 10)

New York

  • (2005)
  • TC Freyung
Hochschulschrift

  • Peter Hofmann

Übertragbarkeit von Methoden und Verfahren in der objektorientierten Bildanalyse - das Beispiel informelle Siedlungen

Universität Salzburg Salzburg, Österreich

  • 2005 (2005)
  • TC Freyung
Monographie

  • M. Baatz
  • U. Benz
  • S. Dehghani
  • M. Heynen
  • A. Höltje
  • Peter Hofmann
  • I. Lingenfelder
  • M. Mimler
  • M. Sohlbach
  • M. Weber

eCognition user guide

Definiens Imaging GmbH, München

  • (2004)
  • TC Freyung
Monographie

  • M. Baatz
  • U. Benz
  • S. Dehghani
  • M. Heynen
  • A. Höltje
  • Peter Hofmann
  • I. Lingenfelder
  • M. Mimler
  • M. Sohlbach
  • M. Weber

eCognition professional user guide 4

Definiens Imaging GmbH, München

  • (2004)
  • TC Freyung
Zeitschriftenartikel

  • U. Benz
  • Peter Hofmann
  • G. Willhauck
  • I. Lingenfelder
  • M. Heynen

Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information

In: ISPRS Journal of Photogrammetry and Remote Sensing vol. 58 pg. 239-258.

  • (2004)

DOI: 10.1016/j.isprsjprs.2003.10.002

Remote sensing from airborne and spaceborne platforms provides valuable data for mapping, environmental monitoring, disaster management and civil and military intelligence. However, to explore the full value of these data, the appropriate information has to be extracted and presented in standard format to import it into geo-information systems and thus allow efficient decision processes. The object-oriented approach can contribute to powerful automatic and semi-automatic analysis for most remote sensing applications. Synergetic use to pixel-based or statistical signal processing methods explores the rich information contents. Here, we explain principal strategies of object-oriented analysis, discuss how the combination with fuzzy methods allows implementing expert knowledge and describe a representative example for the proposed workflow from remote sensing imagery to GIS. The strategies are demonstrated using the first object-oriented image analysis software on the market, eCognition, which provides an appropriate link between remote sensing imagery and GIS.
  • TC Freyung
Monographie

  • M. Baatz
  • M. Heynen
  • Peter Hofmann
  • I. Lingenfelder
  • M. Mimier
  • A. Schape
  • M. Weber
  • G. Willhauck

eCognition User Guide 2.0: Object oriented image analysis

Definiens Imaging GmbH, München

  • (2001)
  • TC Freyung
Zeitschriftenartikel

  • Peter Hofmann

Detecting buildings and roads from IKONOS data using additional elevation information

In: GeoBIT/GIS vol. 6 pg. 28-33.

  • (2001)
Using high resolution imagery such as IKONOS data should make it possible to detect man-made-features such as buildings and roads more easily than with conventional satellite image data. However, due to the higher spatial resolution of IKONOS data, an automatic or semiautomatic detection of such features based only on their spectral characteristics can become difficult, especially in heterogeneous areas such as dense urban areas (see Bauer, T. & Steinnocher, K. in this issue). A typical problem in urban remote sensing is the handling of shadows. Using a DEM and additional semantic information can help to detect such cases and to manage them adequately. Furthermore, when using an additional DEM, significant elevation information of questionable objects can be used to identify their shape. As eCognition is able to use an arbitrary number of channels for the image segmentation and classification, the DEM was used for the initial segmentation and for the subsequent object classification. Thereby, the influence of the DEM on the object generation can be controlled by adjusting the channels' weights. Based upon the underlying concepts of eCognition to generate and classify image objects, different strategies have been developed.
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • Peter Hofmann

Detecting informal settlements from IKONOS image data using methods of object oriented image analysis-an example from Cape Town (South Africa)

In: Remote Sensing of Urban Areas/Fernerkundung in urbanen Räumen. null (Regensburger Geographische Schriften) pg. 41-42.

Regensburg

  • (2001)
  • TC Freyung
Beitrag in Sammelwerk/Tagungsband

  • Peter Hofmann

Detecting urban features from IKONOS data using an object-oriented approach

pg. 79-91.

  • (2001)
  • TC Freyung
Zeitschriftenartikel

  • Peter Hofmann
  • W. Reinhardt

The extraction of GIS features from high resolution imagery using advanced methods based on additional contextual information-first experiences

In: International Archives of Photogrammetry and Remote Sensing vol. 33 pg. 376-383.

  • (2000)
  • TC Freyung
Hochschulschrift

  • Peter Hofmann

Die Anwendung fernerkundlicher Daten und Methoden im Geomarketing, untersucht am Beispiel einer KFA-1000-Aufnahme von München

Ludwig-Maximilians-Universität München Fakultät für Geowissenschaften/Department für Geographie

  • 20.07.1997 (1997)
  • TC Freyung
Zeitschriftenartikel

  • Peter Hofmann

Multinationale Unternehmen in Schottland

In: Wirtschaftsraum, Ressourcen, Umwelt (WRU) vol. 8 pg. 54-58.

  • (1996)
  • TC Freyung