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Browsing by Subject Object Based Image Analysis

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

    • Authors: Hofmann, Peter;  Advisor: -;  Participants: - (2016)

  • Object Based Image Analysis (OBIA) has meanwhile been established as a paradigm for analyzing remotely sensed image data. Although the degree of automation for OBIA methods has increased for several applications, especially in the domain of remote sensing, robust and transferable object-based solutions for automated image analysis of sets of images or even large image archives are still rare. One of the reasons for this lack of robustness and transferability is the high complexity of remote sensing image contents: Especially in Very High Resolution (VHR) remote sensing data, under varying imaging conditions or sensor characteristics, the objects’ properties can vary unpredictably. Alt...
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  • Automatic detection of landslides in object-based environment using open source tools

    • Authors: Veena, V.S.;  Advisor: -;  Participants: - (2016)

  • Automatic detection of landslides from very high resolution satellite images is a prerequisite for rapid damage assessment and supporting disaster management activities. In this study, a novel method using open source tools was developed for extracting landslides from bi-temporal satellite images based on Object Based Image Analysis (OBIA). The methodology employed involves image segmentation followed by elimination of non-landslide candidates using object based change detection techniques and lastly, unsupervised classification. Brightness of a post-landslide image is higher in comparison to its pre-landslide image hence a suitable threshold value for post image brightness was set to...
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  • Integration of open-source tools for object-based monitoring of urban targets

    • Authors: Antumes, R.R.;  Advisor: -;  Participants: - (2016)

  • The constant increase in population in conjunction with unplanned and irregular urban growth, typical problems in developing countries, can promote a rapid increase in population density and related public infrastructure demand that may be hard to bear with the available economic resources. Efficient monitoring of urban development is thus a key instrument for planners and public policy makers that have to cope with this scenario. This work aims at developing a tool to aid monitoring urban growth from very-high resolution remote sensing images, focussing on the integration of available open-source software and the application of OBIA methods. Specifically, we created a method for dete...