نتایج جستجو برای: spatial information
تعداد نتایج: 1449398 فیلتر نتایج به سال:
The users are using Twitter to articulate their opinion. Testimony states that twitter has more than 32.1 crore monthly active user with 10 posting 35 of tweets on daily basis. Hence micro-blogging web-sites a rich originator data for spatial mining. We performed analysis trending IT technology. studies will try beautify an analytical framework remove and visualize established free facts. proje...
New technologies for sensing and communication act as enablers cooperative driving applications. Sensors are able to detect objects in the surrounding environment information such their current location is exchanged among vehicles. In order cope with vehicles’ mobility, required be fresh possible proper operation of The age (AoI) has been proposed a metric evaluating freshness information; rece...
Spectral unmixing is among one of the major hyperspectral image analysis tasks that aims to extract basic features (endmembers) at subpixel level and estimate their corresponding proportions (fractional abundances). Recently, rapid development deep learning networks has provided us with a new method solve problem spectral unmixing. In this paper, we propose spatial-information-assisted informat...
Do all parts of the face contribute equally to face detection or are some parts more detectable than others? To evaluate this issue, we studied detection of the presence of normalized frontal-face images within aperture windows of varying extent. We performed a face summation study using two-alternative forced-choice psychophysics. The face stimuli were scaled to equal eye-to-chin distance, cen...
Due to the differences between the visible and thermal infrared images, combination of these two types of images is essential for better understanding the characteristics of targets and the environment. Thermal infrared images have most importance to distinguish targets from the background based on the radiation differences, which work well in all-weather and day/night conditions also in land s...
Spatial autocorrelation statistics provide summary information about the spatial arrangement of data in a map. In fact, these statistics compare neighboring area values in order to assess the level of large scale clustering. Whenever a large number of neighboring areas have either relatively large or relatively small values, large scale clustering may be detected. Detecting such clustering is a...
Many researches have demonstrated that the spatial information can play an important role in the classification of hyperspectral imagery. This study proposes a modified spectral–spatial classification approach for improving the spectral–spatial classification of hyperspectral images. In the proposed method ten spatial/texture features, using mean, standard deviation, contrast, homogeneity, corr...
Palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. Texture is one of the most important features extracted from low resolution images. In this paper, a new local descriptor, Local Composition Derivative Pattern (LCDP) is proposed to extract smartly stronger...
Several studies of L2 learners’ interlanguage have addressed the complexity of the English adpositional system due to several reasons like L1 transfer, lack of knowledge in L2 and the strong collocational relations of prepositions with other elements of the English language. The major purpose of the present study is to evaluate the performance of Iranian students in dealing with three broad cat...
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