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Full-Text Articles in Social and Behavioral Sciences
Identifying Smokestacks In Remotely Sensed Imagery Via Deep Learning Algorithms, Kenneth Moss
Identifying Smokestacks In Remotely Sensed Imagery Via Deep Learning Algorithms, Kenneth Moss
Masters Theses
Locating smokestacks in remote sensing imagery is a crucial first step to calculating smokestack heights, which allows for the accurate modeling of dioxin pollution spread and the study of resulting health impacts. In the interest of automating this process, this thesis examines deep learning networks and how changes in input datasets and network architecture affect image detection accuracy. This initial image detection serves as the first step in automated object recognition and height calculation. While this is applicable to general land use classification, this study specifically addresses detecting smokestack images. Different dataset scenarios are generated from the massive Functional Map …
The Urban Morphology Of Hyderabad, India: A Historical Geographic Analysis, Kevin B. Haynes
The Urban Morphology Of Hyderabad, India: A Historical Geographic Analysis, Kevin B. Haynes
Masters Theses
Hyderabad, India has undergone tremendous change over the last three centuries. The study seeks to understand how and why Hyderabad transitioned from a north-south urban morphological directional pattern to east-west during from 1687 to 2019. Satellite-based remote sensing will be used to measure the extent and land classifications of the city throughout the twentieth and twenty-first century using a geographic information science and historical-geographic approach. This approach provides the basis for a structured archival historical-geographic analysis. Focusing on Hyderabad, India from 1687 to 2019, the objectives of this research are to: (1) delineate and quantify the geographic extent of built-up …