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Showing 1 to 15 of 15 for “"OBIA"”.

  1. An object-based image analysis approach for detecting urban impervious surfaces

    … classification accuracy between pixel-based and OBIA methods, (2) examine whether the object-based image analysis (OBIA) could better detect urban impervious surfaces, and (3) develop an automated, generalized OBIA classification method for impervious surfaces. <br><br> This study analyzed urban …

    lsu-thes Repository record for An object-based image analysis approach for detecting urban impervious surfaces (opens in a new tab)

  2. Mapping vegetation with remote sensing and GIS data using object-based analysis and machine learning algorithms

    … techniques. Object-based image analysis (OBIA) and machine learning algorithms are recent advances, which this thesis evaluates. OBIA and machine learning algorithms are first tested using a combination of multiple datasets for identifying individual tree species. These datasets include …

    waikato-masters Repository record for Mapping vegetation with remote sensing and GIS data using object-based analysis and machine learning algorithms (opens in a new tab)

  3. Object-based image analysis for detecting landforms diagnostic of natural hazards

    … of objects, such as object-based image analysis (OBIA), is desirable. In this thesis, I propose a topographic roughness measure derived from an airborne laser scanning (ALS) digital terrain model (DTM) and discuss its performance in detecting landforms principally diagnostic of natural hazards. I …

    potsdam-diss Repository record for Object-based image analysis for detecting landforms diagnostic of natural hazards (opens in a new tab)

  4. A multi-temporal image analysis of habitat modification in the Coastal Watershed, NH

    … techniques, such as object-based image analysis (OBIA) and multi-temporal image analysis, to create accurate land cover maps and corresponding fragmentation metrics. These products were then used to determine if habitats of interest in the Coastal Watershed were potentially more susceptible to …

    unh-thes Repository record for A multi-temporal image analysis of habitat modification in the Coastal Watershed, NH (opens in a new tab)

  5. Integrating Digital Aerial Photography and Lidar-Derived Information For Object-Based Coastal Tidal Marsh Classification Using Tree-Based Ensemble Algorithms

    … South Carolina. An object-based image analysis (OBIA) approach was adopted for mapping the following detailed tidal marsh classes: tall creekbank spartina alterniflora, intermediate spartina alterniflora, exposed mudflats, salicornia/short spartina and juncus roemerianus. A high-resolution …

    south-carolina Repository record for Integrating Digital Aerial Photography and Lidar-Derived Information For Object-Based Coastal Tidal Marsh Classification Using Tree-Based Ensemble Algorithms (opens in a new tab)

  6. Determining estuarine seagrass density measures from low altitude multispectral imagery flown by remotely piloted aircraft

    … accuracy than object-based image analysis (OBIA) assessed at a range of segmentation scales. Contaminating objects such as shells and detritus can become aggregated within polygon objects when OBIA is applied but remain as isolated objects under PBIA at this image resolution. There was clear …

    waikato-masters Repository record for Determining estuarine seagrass density measures from low altitude multispectral imagery flown by remotely piloted aircraft (opens in a new tab)

  7. Advancing Arctic coastal erosion measurement and monitoring through UAV-SfM, satellite imagery, and object-based image analysis

    … while image classifications derived from OBIA, or GEOBIA, provide opportunities to systematically create boundary features (i.e. shoreline proxies). Overall, this doctoral research develops and evaluates techniques that enhance our ability to make quantitative measures of Arctic coastal …

    calgary Repository record for Advancing Arctic coastal erosion measurement and monitoring through UAV-SfM, satellite imagery, and object-based image analysis (opens in a new tab)

  8. Data-driven methods for the extraction, grouping and application of terroir units

    … the value of object-based image analysis (OBIA), finding it to be a highly effective alternative to pixel-based or vector overlay zoning methods. Further development of these methods could support viticultural zoning in South Africa, ensuring the sustainability of the Wine of Origin scheme …

    stellenbosch Repository record for Data-driven methods for the extraction, grouping and application of terroir units (opens in a new tab)

  9. An Investigation of Evaluation Methods of Weighted-Point Landscaping Policy - in Seattle and Malmö

    … a supervised Object Based Image Analysis (OBIA) and a vertical structure inventory, have the promise to be effective measurement tools given carefully chosen considerations and inputs. Applying these methods has the potential to inform a modified-BAR vegetation indicator useful for …

    washington Repository record for An Investigation of Evaluation Methods of Weighted-Point Landscaping Policy - in Seattle and Malmö (opens in a new tab)

  10. ASSOCIATION MAPPING OF GENE REGIONS FOR DROUGHT TOLERANCE AND AGRONOMIC TRAITS IN SORGHUM

    Genetic improvement of sorghum (Sorghum bicolor (L.) Moench) for drought tolerance and grain yield is challenging because of the complex nature of these traits. To make this process more tractable, studies were conducted to investigate the genetic architecture of these traits by employing a novel …

    purdue-thes Repository record for ASSOCIATION MAPPING OF GENE REGIONS FOR DROUGHT TOLERANCE AND AGRONOMIC TRAITS IN SORGHUM (opens in a new tab)

  11. Latent Dirichlet Variational Autoencoder: a novel approach for hyperspectral image analysis and pixel unmixing exploring deep learning architectures

    … robust method for Object- Based Image Analysis (OBIA). Subsequently, the research delves into the application of autoencoders for spectral dimensionality reduction, culminating in a comparative analysis demonstrating their efficacy in preserving crucial information for classification while …

    uoit Repository record for Latent Dirichlet Variational Autoencoder: a novel approach for hyperspectral image analysis and pixel unmixing exploring deep learning architectures (opens in a new tab)

  12. Automated Mapping of Lava: Classification of the Lava Flow Field from the 2021 Fagradalsfjall Eruption

    … map lava channels; Object-Based Image Analysis (OBIA) was needed instead. Mean-shift segmentation on the 30 September data was performed with the open-source Orfeo toolbox. Zonal statistics were calculated for each segment. A Random Forest model was then trained using channels identified by …

    u-iceland Repository record for Automated Mapping of Lava: Classification of the Lava Flow Field from the 2021 Fagradalsfjall Eruption (opens in a new tab)

  13. The application of machine learning and 3D photogrammetry for cold-water coral habitat classification in the NE Atlantic

    … (CGC); Object-Based Image Classification (OBIA) and; Machine Learning Multiclass classification (MLMC). These first three workflows provided a binary (coral, seabed) classification with accuracy ranging 56 to 74% and provided the analysis of the percentage class distribution for each …

    cork Repository record for The application of machine learning and 3D photogrammetry for cold-water coral habitat classification in the NE Atlantic (opens in a new tab)

  14. Wetland landscape dynamics and its socio-ecological implications

    … part employed an object-based image analysis (OBIA) approach for image classification performed in ENVI software. This approach involves segmentation and grouping imagery into objects to preserve the spatial, spectral, and temporal scale. Two classification algorithms support vector machine …

    umkc Repository record for Wetland landscape dynamics and its socio-ecological implications (opens in a new tab)