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Showing results 6820 to 6839 of 9381
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  • Authors: Wang, M.;  Advisor: -;  Participants: - (2016)

  • The current study introduces a region-line primitive association framework (RLPAF) for OBIA. Regions and lines are used collaboratively from low-level image processing (segmentation) and feature extraction to high-level image analysis (classification and recognition). Several region-line associating techniques for analysing object shapes and relationships were designed. Our techniques have been validated by impervious surface and road network extraction from high spatial resolution (HSR) images.

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  • Authors: Kamps, M.;  Advisor: -;  Participants: - (2016)

  • Active landslides have three major effects on a landscape: 1. land cover change, 2. topographical change, and 3. above ground biomass change. Data derived from multi-temporal Light Detection and Ranging technology (LiDAR) is used in combination with multi-temporal orthophotos to quantify changes between 2006 and 2012, caused by a landslide near Doren in Austria. Data synergy is used to optimize accuracies of land cover change, and to improve results of topographical change analysis and aboveground biomass estimations. Topographical change is calculated using differencing of digital terrain models. The above ground biomass is quantified by applying a local-maximum algorithm for tree to...

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

  • Although multi-resolution segmentation (MRS) has been shown to delimit geomorphological boundaries more accurately than other available segmentation procedures, the selection of the appropriate parameters remains a challenge. The optimisation of scale has largely been focussed on deriving suitable scale parameters (SPs). Local variance (LV) has been shown to exploit spatial autocorrelation for identifying suitable SPs. However, further investigation into SP selection for land surface segmentation is necessary. This paper demonstrates how symmetric difference (SD) can be used to detect suitable SPs when segmenting continuous land surfaces. Comparisons with an established suitable SP se...

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  • Authors: Djerriri, K.;  Advisor: -;  Participants: - (2016)

  • This paper evaluates the capability of a recently proposed method named multiband compact texture unit. This method extracts texture by characterizing simultaneously spatial relationship in the same band and across the different bands. This evaluation is performed in the context of object-based classification paradigm using WorldView-2 image of a forest area. For that image-objects were generated through superpixel segmentation. Classification in the object-feature space is performed suing K nearest neighbor algorithm. The proposed approach is compared to two groups of methods. The first group includes texture methods that use only spatial relationships in the same band: Gabor feature...

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  • Authors: Zhai, Liang;  Advisor: -;  Participants: - (2016)

  • Remote sensing image classification is one of the important methods of obtaining land cover/use information for nationwide general survey of geographical conditions in China. In this study, an object-oriented decision tree algorithm is utilized for land cover and land use mapping from high resolution WorldView-2 satellite remote sensing images. The major steps of this approach include image segmentation to get image objects and pixel-based classification based on the image objects. Multi-resolution segmentation approach was adopted in this study, which utilizes spatial and spectral information of land covers in the image to segment into different small objects with particular structur...

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  • Authors: Remondino, F.;  Advisor: -;  Participants: - (2016)

  • Oblique airborne photogrammetry is rapidly maturing and being offered by service providers as a good alternative or replacement of the more traditional vertical imagery and for very different applications (Fig.1). EuroSDR, representing European National Mapping Agencies (NMAs) and research organizations of most EU states, is following the development of oblique aerial cameras since 2013, when an ongoing activity was created to continuously update its members on the developments in this technology. Nowadays most European NMAs still rely on the traditional workflow based on vertical photography but changes are slowly taking place also at production level. Some NMAs have already run some...

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  • Authors: Dulai, H.; Swarzenski, P.W.;  Advisor: -;  Participants: - (2017)

  • The study region encompasses the nearshore, coastal waters off west Maui, Hawaii. Here abundant groundwater—that carries with it a strong land-based fingerprint—discharges into the coastal waters and over a coral reef. Coastal groundwater discharge is a ubiquitous hydrologic feature that has been shown to impact nearshore ecosystems and material budgets. Submarine groundwater discharge derived constituent concentrations were tabulated and compared to surrounding seawater concentrations. Such work has implications for the management of coastal aquifers and downstream nearshore ecosystems that respond to sustained constituent loadings via this submarine route.

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  • Authors: Kotikian, M.;  Advisor: -;  Participants: Parsekian, A.D.; Paige, G.; Carey, A. (2019)

  • Understanding water partitioning and storage on mountain hillslopes is important for vadose zone hydrologic modeling, water balance calculations, and predicting landslides. Revealing the dynamics of unsaturated water movement through time remains challenging due to the scarcity of spatially continuous observations at dense time sampling intervals. We investigate heterogeneous vertical flow using time‐lapse electrical resistivity tomography over a span of 2 yr and use seismic refraction to determine the bedrock location on a hillslope with snow‐dominated hydrology. We expect that heterogeneities in vertical unsaturated flow are driven by highly conductive zones in soil structure and hi...

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  • Authors: Algabr, H.M.;  Advisor: -;  Participants: Alwaseai, A.; Alzumir, M. A.; Hassen, A. A.; Taresh, S. A. (2018)

  • The results indicated that the samples collected from Taiz companies showed that high concentrations of aflatoxins ranged 26–45 ppb, than other samples which were collected from Sana’a while the fumonisins were 1–5.9 ppm. Moreover, lower concentrations of fumonisins were collected from Taiz companies (0.65–0.93 ppm). Aflatoxins in samples collected from farmer’s poultry in Taiz and Dhamar were 42.5 ppb. Also in samples from Sana’a and Ibb, the high concentration found is 39 ppb. The maximum significant mean of aflatoxins production was 25.2 ppb at 25 °C. Aflatoxins production was decreased at lower or higher tested temperature (3.6, 9.93 ppb) at 15 °C and 35 °C respectively. Similarly...

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  • Authors: Callaghan, D.P.;  Advisor: -;  Participants: Vu, Thi Thu Thuy; Hanslow, D.J.; Nielsen, P.; You, Zai-Jin; Teakle, I. (2014)

  • Analysis of Lake Conjola flooding in April 2006, provided in this paper, attributes it to waves pumping water over a 300 m long beach berm and into Lake Conjola. This overwash, generated by the medium wave height swell occurring during this flooding, was able to lift the lake levels near the entrance, persistently over several tidal cycles, to well above the ocean water levels. The wave pump model was used to model this flooding. Lake Conjola water storage and dynamics were modelled by using a two-node continuity based model that a change in storage in time is driven by the net inflow to a node and these nodes and the ocean are linked by log-law. The extents of these two nodes were es...

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  • Authors: El-Sayed, Nagwa Mostafa;  Advisor: -;  Participants: Masoud, Nagham Gamal (2019)

  • Ocular toxocariasis is an important cause of unilateral vision impairment mostly in children and always in the differential diagnosis of retinoblastoma. This disease exhibits various manifestations such as posterior pole granuloma, peripheral granuloma, or chronic endophthalmitis. Diagnosis of ocular toxocariasis can be carried out by the ophthalmic examination and immunodiagnostic methods to reveal the specific antibodies in serum and ocular fluids. In addition, molecular diagnosis, medical imaging techniques, and histopathologic observation of Toxocara larva in the surgically obtained specimens can be performed. Ocular toxocariasis can be treated either medically or surgically. Rega...

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  • Authors: Fabrikant, S.I.; Kraak, M.J.;  Advisor: -;  Participants: - (2017)

  • In this contribution, we first focus on maps as landmarks of cartographic innovation in the context of societal and technical developments in history. We then turn to cartography itself, by analyzing the sustainability of past and current disciplinary definitions, as proposed by its leading professional body, the International Cartographic Association (ICA). In the fourth section, we then go on to analyze the structure and activities of the ICA over the recent past, with the aim to further understand the professional development of the cartographic discipline. Finally, we also consider how the geography of the ICA.

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  • Authors: Zandieh, R.;  Advisor: -;  Participants: - (2014)

  • Older adults living in high-deprivation areas walk less than those living in low-deprivation areas. Previous research has shown that older adults’ outdoor walking levels are related to the neighbourhood built environment. This study examines inequalities in perceived built environment attributes (i.e., safety, pedestrian infrastructure and aesthetics) and their possible influences on disparities in older adults’ outdoor walking levels in low- and high-deprivation areas of Birmingham, United Kingdom. It applied a mixed-method approach, included 173 participants (65 years and over), used GPS technology to measure outdoor walking levels, used questionnaires (for all participants) and con...

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  • Authors: Molénat, J.;  Advisor: -;  Participants: Raclot, D.; Zitouna, R.; Andrieux, P.; Coulouma, G. (2018)

  • The observation strategy is motivated by monitoring water, sediment, and contaminant fluxes and hydrologic and climatic variables at different spatial scales from cultivated plots and landscape elements to the catchment scale. These measurements have been performed at a fine time resolution over a long‐term scale and by surveying land use, agricultural practices, and soil surface characteristics. The long‐term observation strategy intends to support integrative multidisciplinary research for elucidating the conditions that improve soil and water management and delivery of ecosystem services in a Mediterranean rainfed cultivated context. The observatory has led to scientific insights r...

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  • Authors: Wu, D.;  Advisor: -;  Participants: Yang, H.; Huang, D.; Yuan, C.; Qin, X.; Zhao, Y.; Zhao, X.; Sun, J. (2019)

  • Person re-identi cation (PReID) has received increasing attention due to it being an important role in intelligent surveillance. Many state-of-the-art PReID methods are part-based deep models. Most of these models focus on learning the part feature representation of a person's body from the horizontal direction. However, the feature representation of the body from the vertical direction is usually ignored. In addition, the relationships between these part features and different feature channels are not considered. In this paper, we introduce a multi-branch deep model for PReID. Speci cally, the model consists of ve branches. Among the ve branches, two branches learn the part feature...

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  • Authors: Do, Lan;  Advisor: -;  Participants: Nguyen, Thi Ly; Pham, Nam Giang; Vu, Nam Phong (2022)

  • In this article, a functional semilinear Rayleigh-Stokes equation involving a fractional derivative with delay is investigated. The paper employs the time-fractional derivative which is Riemann-Liouville type. By using the fixed point argument and some useful estimates, the writers derive some global existence results. Also, the finite-time attractivity of all solutions are proved thanks to a Halanay- type inequality.

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  • Authors: Sirimongkolkasem, Tanin;  Advisor: -;  Participants: Drikvandi, Reza (2019)

  • High dimensional data are rapidly growing in many domains due to the development of technological advances which helps collect data with a large number of variables to better understand a given phenomenon of interest. Particular examples appear in genomics, fMRI data analysis, large-scale healthcare analytics, text/image analysis and astronomy. In the last two decades regularisation approaches have become the methods of choice for analysing such high dimensional data. This paper aims to study the performance of regularisation methods, including the recently proposed method called de-biased lasso, for the analysis of high dimensional data under different sparse and non-sparse situation...