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Browsing by Subject object-based

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Showing results 1 to 5 of 5
  • BB

  • A web-based platform for remote sensing image annotation

    • Authors: Garcia-Pedrero, A.;  Advisor: -;  Participants: - (2016)

  • The generation of labeled data for training automated methods used in the analysis of remote sensing images is a challenging task. Approaches as Active Learning aim to perform accurate classifications in a scenario of a few annotated data. These approaches generally require the interaction between the user and the machine learning method during training phase. However, in the remote sensing area, it is difficult to find a tool that facilitates this interaction. In this work, an interactive web-based platform to perform the training of method for remote sensing image annotation by means of an active learning approach is proposed. The platform integrates open-source GIS technologies and...
  • BB

  • A web-based platform for remote sensing image annotation

    • Authors: Garcia-Pedrero, A.;  Advisor: -;  Participants: - (2016)

  • The generation of labeled data for training automated methods used in the analysis of remote sensing images is a challenging task. Approaches as Active Learning aim to perform accurate classifications in a scenario of a few annotated data. These approaches generally require the interaction between the user and the machine learning method during training phase. However, in the remote sensing area, it is difficult to find a tool that facilitates this interaction. In this work, an interactive web-based platform to perform the training of method for remote sensing image annotation by means of an active learning approach is proposed. The platform integrates open-source GIS technologies and...
  • BB

  • A web-based platform for remote sensing image annotation

    • Authors: Garcia-Pedrero, A.;  Advisor: -;  Participants: - (2016)

  • The generation of labeled data for training automated methods used in the analysis of remote sensing images is a challenging task. Approaches as Active Learning aim to perform accurate classifications in a scenario of a few annotated data. These approaches generally require the interaction between the user and the machine learning method during training phase. However, in the remote sensing area, it is difficult to find a tool that facilitates this interaction. In this work, an interactive web-based platform to perform the training of method for remote sensing image annotation by means of an active learning approach is proposed. The platform integrates open-source GIS technologies and...
  • BB

  • Coupling Uncertainties with Accuracy Assessment in Object-Based Slum Detections, Case Study : Jakarta, Indonesia

    • Authors: Pratomo, J.; Kuffer, M.;  Advisor: -;  Participants: - (2017)

  • Object-Based Image Analysis (OBIA) has been successfully used to map slums. In general, the occurrence of uncertainties in producing geographic data is inevitable. However, most studies concentrated solely on assessing the classification accuracy and neglecting the inherent uncertainties. Our research analyses the impact of uncertainties in measuring the accuracy of OBIA-based slum detection. We selected Jakarta as our case study area because of a national policy of slum eradication, which is causing rapid changes in slum areas. Our research comprises of four parts: slum conceptualization, ruleset development, implementation, and accuracy and uncertainty measurements. Existential and ...
  • BB

  • Modelling forest fire occurrence in Lebanon using socio-economic and biophysical variables in object-based image analysis

    • Authors: Mitri, G.;  Advisor: -;  Participants: - (2016)

  • Like many other countries in the Mediterranean, the occurrence and spread of forest fires in Lebanon are related to human activities. More specifically, landcover and land use changes (e.g., conversions of lands, abandonment of land and accumulation of fuel) driven by socio-economic changes occurring in the country have increased the probability of occurrence and spread especially in the Wildland-Urban Interface. The aim of this work was to model the influence of both socio-economic and biophysical variables on fire occurrence in Lebanon. The specific objectives were to 1) analyze socio-economic and biophysical drivers of forest fires, and 2) use object-based image analysis to derive ...