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New Orleans and the Black Press: How New Orleans impacted Reconstruction Policy in America

Description
In the years after the American Civil War, New Orleans became an important city in regards to racial turmoil and political futures. Three separate riots, each taking place between the years of 1866-1874, came to be defining moments in the greater pantheon of Reconstruction politics. Each of these riots had…

In the years after the American Civil War, New Orleans became an important city in regards to racial turmoil and political futures. Three separate riots, each taking place between the years of 1866-1874, came to be defining moments in the greater pantheon of Reconstruction politics. Each of these riots had major impacts on the political climate of the day, with national implications that stretched far beyond just the city of New Orleans.
ContributorsHillmann, Connor John (Author) / Simpson, Brooks (Thesis director) / Whitaker, Matthew (Committee member) / Campbell, James (Committee member) / Barrett, The Honors College (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor)
Created2013-12
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3D rooftop detection and modeling using orthographic aerial images

Description
Detection of extruded features like rooftops and trees in aerial images automatically is a very active area of research. Elevated features identified from aerial imagery have potential applications in urban planning, identifying cover in military training or flight training. Detection of such features using commonly available geospatial data like orthographic…

Detection of extruded features like rooftops and trees in aerial images automatically is a very active area of research. Elevated features identified from aerial imagery have potential applications in urban planning, identifying cover in military training or flight training. Detection of such features using commonly available geospatial data like orthographic aerial imagery is very challenging because rooftop and tree textures are often camouflaged by similar looking features like roads, ground and grass. So, additonal data such as LIDAR, multispectral imagery and multiple viewpoints are exploited for more accurate detection. However, such data is often not available, or may be improperly registered or inacurate. In this thesis, we discuss a novel framework that only uses orthographic images for detection and modeling of rooftops. A segmentation scheme that initializes by assigning either foreground (rooftop) or background labels to certain pixels in the image based on shadows is proposed. Then it employs grabcut to assign one of those two labels to the rest of the pixels based on initial labeling. Parametric model fitting is performed on the segmented results in order to create a 3D scene and to facilitate roof-shape and height estimation. The framework can also benefit from additional geospatial data such as streetmaps and LIDAR, if available.
ContributorsKhanna, Kunal (Author) / Femiani, John (Thesis advisor) / Wonka, Peter (Thesis advisor) / Razdan, Anshuman (Committee member) / Maciejewski, Ross (Committee member) / Arizona State University (Publisher)
Created2013