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In an effort to improve fairness or reduce backlogs, machine-learning models are sometimes designed to mimic human decision making, such as deciding whether social media posts violate toxic content po...
With the availability of massive trajectory data, it is highly valuable to reveal their activity information for many domains such as understanding the functionality of urban regions. This article uti...
Similarity assessment is the fundamentally important to various remote sensing applications such as image classification, image retrieval and so on. The objective of similarity assessment is to automa...
This paper presents a new approach to extract urban landuse/land-cover information from high-resolution radar satellite data. Five-date RADARSAT fine-beam SAR images over the rural-urban fringe of the...
Most spatial data in GIS are not independent, they have high autocorrelation. For example, temperatures of nearby locations are often related. Most of the spatial association rule mining algorithms de...
Multi-scale segmentation is an essential step toward higher level image processing in remote sensing. This paper presents a new multi-scale segmentation method based on Statistical Region Merging (SRM...
In the digital world, search engines have been proposed as one of challenging research areas. One of the main issues in search engines studies is query processing, which its aim is to understand user’...
The Chinese traditional architecture called as DaMu structure, which wooden materials were used mainly. The work of historic heritage conservation needs the surveying maps and the 3D model of the bui...
Tehran, the capital of Iran, is surrounded by the North Tehran fault, the Mosha fault and the Rey fault. This exposes the city to possibly huge earthquakes followed by dramatic human loss and physical...
In recent years the launch of (very) high-resolution (VHR) spaceborne multi-spectral (MS) scanners has made purely supervised remote sensing (RS) image analysis over extended target areas no longer ...
Multiple Representation Databases are structures that link different data sets based on common geometry and/or semantics. They offer the possibility to realize an efficient updating process in case of...
Because of its researching object always be provided with spatial attribute, spatial statistics differs from traditional statistics. In this paper, besides of the definition of Spatial Statistics, the...
A new algorithm “T-Apriori” based on time constraint is designed and implemented on the basis of analyzing the related definitions and general steps of temporal association rule mining. The concepts o...
With the development of the technique of multiple dimension GIS databases, the problem of the key-scale becomes an important technical problem. The paper presents a new method about how to determine t...
With the development of remote sensing technology, the spatial resolution, spectral resolution and time resolution of remote sensing data is greatly improved. How to efficiently process and interpret ...

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