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Die Pronominalsysteme der slavischen Sprachen

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Book Series: Slavistische Beitraege ISBN: 9783876902845 Year: Pages: 142 DOI: 10.3726/b12518 Language: German
Publisher: Peter Lang International Academic Publishing Group
Subject: Linguistics
Added to DOAB on : 2019-01-15 13:31:58
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Abstract

This book was written on the occasion of a seminar "Linguistic categories - shown on Slavic material" at the University of Hamburg by discussing the fundamental semantic features found in natural languages.

The Experience of Space

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Book Series: Slavistische Beitraege ISBN: 9783876908397 Year: Pages: 249 DOI: 10.3726/b12697 Language: English
Publisher: Peter Lang International Academic Publishing Group
Subject: Linguistics
Added to DOAB on : 2019-01-15 13:31:33
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Cognitive linguistic research suggests that Slavic verbal prefix semantics may be profitably described by assuming a spatial prototype, and that non-spatial (abstract) prefixes derive metaphorically from this prototype. This dissertation uses a cognitive linguistic framework to establish a concise, systematic description of prototypes for prefixes and prepositions in Russian and Czech, and evaluates the nature of the relationship among the various senses of prefixes. The research presented here is aimed at carefully establishing the spatial meaning of prefixes. The primary motive for this research, however, is to evaluate the nature of the relation between spatial uses and abstract uses and to determine if abstract uses do indeed involve primarily spatial metaphor. A significant portion of the dissertation, therefore, is devoted to a discussion of the connection between spatial and abstract prefixation. A secondary purpose is to compare the spatial and abstract uses of prefixes in Czech and Russian, and to see whether differences in the verbal systems of these two languages can be correlated with underlying semantic differences at the spatial level.

Remote Sensing for Target Object Detection and Identification

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ISBN: 9783039283323 9783039283330 Year: Pages: 336 DOI: 10.3390/books978-3-03928-333-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Geography
Added to DOAB on : 2020-04-07 23:07:09
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Abstract

Target object detection and identification are among the primary uses for a remote sensing system. This is crucial in several fields, including environmental and urban monitoring, hazard and disaster management, and defense and military. In recent years, these analyses have used the tremendous amount of data acquired by sensors mounted on satellite, airborne, and unmanned aerial vehicle (UAV) platforms. This book promotes papers exploiting different remote sensing data for target object detection and identification, such as synthetic aperture radar (SAR) imaging and multispectral and hyperspectral imaging. Several cutting-edge contributions, which provide examples of how to select of a technology or another depending on the specific application, will be detailed.

Keywords

anomaly detection --- hyperspectral imagery --- low-rank representation --- dictionary construction --- HSI reconstruction --- sparse coding --- adaptive weighting --- infrared small target detection --- local prior analysis --- nonconvex tensor robust principle component analysis --- partial sum of the tensor nuclear norm --- low rank sparse decomposition --- Lp-norm constraint --- non-convex optimization --- alternating direction method of multipliers --- infrared small target detection --- convolutional neural networks (CNNs) --- object detection --- remote sensing images --- contextual information --- part-based --- multi-model --- very-high-resolution (VHR) remote sensing imagery --- object detection --- multi-scale pyramidal features --- multi-scale strategies --- oil tank detection --- unsupervised saliency model --- Color Markov Chain --- bottom-up and top-down --- hazard prevention --- flood hazard --- hidden danger identification --- tower failure --- vehicle detection --- object matching --- superpixel segmentation --- unmanned aerial vehicle --- remote sensing imagery --- thermal infrared target tracking --- semantic features --- mask sparse representation --- particle filter framework --- ADMM --- satellite videos --- region proposals --- convolutional neural networks --- tiny and dim target detection --- component mixture model --- object detection --- remote sensing image --- deep learning --- convolutional neural networks (CNNs) --- hardware architecture --- processor --- ground-based detection --- infrared imaging --- observability --- detecting distance --- earth entry vehicle --- synthetic aperture radar (SAR) --- rivers water-flow elevation estimation --- pixel-tracking --- phase unwrapping --- infrared small-faint target detection --- non-independent and identical distribution (non-i.i.d.) mixture of Gaussians --- flux density --- variational Bayesian --- target detection --- target identification --- SAR --- visible --- infrared --- hyperspectral

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