نتایج جستجو برای: spatial synoptic classification ssc
تعداد نتایج: 838814 فیلتر نتایج به سال:
In this paper, we explore an efficient variant of convolutional sparse coding with unit norm code vectors where reconstruction quality is evaluated using an inner product (cosine distance). To use these codes for discriminative classification, we describe a model we term Energy-Based Spherical Sparse Coding (EB-SSC) in which the hypothesized class label introduces a learned linear bias into the...
Knowledge about long-term land cover/use changes is essential for evaluating and predicting their consequent problems by urban managers and policymakers. Remote sensing with landscape metrics is an effective tool for monitoring these changes in urban cores and their peripheral areas. During the recent decades, industrial and urban growth, and immigration of people into Isfahan metropolitan area...
As widespread deserts is located in west and southwest of Iran plateau, dust storms form due to west andsouthwest systems over Syria or Iraq as well as Arabian Peninsula. These systems severely affect west and southwestregions. Sometimes the fine dusts transmit to central, north east, and east regions. In this study for investigating dustysynoptical patterns, meteorological data at 5 synoptic s...
This paper first presents a review of the options available for conveying maps and graphics to visually impaired and blind people. A novel audio-tactile methodology is described, and the results from its pilot study reported. Communication of spatial media, such as map, is problematic without sight. Tactile perception is serial rather than synoptic. By building a working model of the environmen...
Long time series of Arctic atmospheric measurements are assembled into meteorological categories that can serve as test cases for climate model evaluation. The meteorological categories are established by applying an objective k-means clustering algorithm to 11 years of standard surface-meteorological observations collected from 1 January 2000 to 31 December 2010 at the North Slope of Alaska (N...
Adapting SWAT hillslope erosion model to predict sediment concentrations and yields in large Basins.
The Soil and Water Assessment Tool (SWAT) is used worldwide for water quality assessment and planning. This paper aimed to assess and adapt SWAT hillslope sediment yield model (Modified Universal Soil Loss Equation, MUSLE) for applications in large basins, i.e. when spatial data is coarse and model units are large; and to develop a robust sediment calibration method for large regions. The Upper...
The authors argue that certain aspects of the rotational, synoptic-scale disturbances of the wind field that are observed in ITCZ or monsoon trough regions can be understood by considering the linear response of a dry, initially resting atmosphere to a pulse of heating whose amplitude and spatial and temporal scales are characteristic of a large mesoscale convective system. The key points are t...
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