Lloyd L. Coulter

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West Africa has a rapidly growing population, an increasing fraction of which lives in urban informal settlements characterized by inadequate infrastructure and relatively high health risks. Little is known, however, about the spatial or health characteristics of cities in this region or about the spatial inequalities in health within them. In this article(More)
Large format digital camera (LFDC) systems are becoming more broadly available and regularly collect image data over large areas. Spectral and radiometric attributes of imagery from LFDC systems make this type of image data appropriate for semi-automated change detection. However, achieving accurate spatial co-registration between multitemporal image sets(More)
Advances in aerial platforms, imaging sensors, image processing/computing, geo-positioning systems, and wireless communications make near real-time change detection more practical and cost effective. In Coulter et al. (2003) and Stow et al. (2003), we documented a method for collecting and precisely co-registering multitemporal airborne frame imagery that(More)
Little research has been conducted on how differing spatial resolutions or classification techniques affect image-driven identification and categorization of slum neighborhoods in developing nations. This study assesses the correlation between satellite-derived land cover and census-derived socioeconomic variables in Accra, Ghana to determine whether the(More)
Accurate spatial registration between multitemporal imagery is necessary if pixel-level changes are to be detected. Registration of multitemporal airborne frame imagery is complicated by image distortions resulting from wide view angles and variable terrain. A novel technique for acquiring and precisely registering multitemporal airborne frame imagery is(More)
Habitat preserve systems have been established adjacent to the densely populated regions of southern California to support indigenous plant and animal species that are listed as rare, threatened, or endangered. Monitoring the condition of habitat across these broad preserves is necessary to ensure their long-term viability and may be effectively(More)
Advances in aerial platforms, imaging sensors, image processing/computing, geo-positioning systems, and wireless communications make near real-time detection and tracking of moving objects on the ground more practical and cost effective. In Coulter et al. (2011), we presented a methodological framework for near real-time monitoring of border areas with(More)
A novel and patent pending approach representing a new paradigm for persistent wide area surveillance is presented. As part of the Department of Homeland Security (DHS) National Center for Border Security and Immigration (BORDERS), San Diego State University (SDSU) researchers have developed a method for accurate and automated detection of people and(More)
The objectives are to (1) quantify, map, and analyze vegetation cover distributions and changes across Accra, Ghana, for 2002 and 2010; and (2) examine the statistical relationship between vegetation cover and a housing quality index (HQI) for 2000 at the neighborhood level. Pixel-level vegetation cover maps derived using threshold classification of 2002(More)
The effect of using spectral transform images as input data on segmentation quality and its potential effect on products generated by object-based image analysis are explored in the context of land cover classification in Accra, Ghana. Five image data transformations are compared to untransformed spectral bands in terms of their effect on segmentation(More)