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The majority of spatial data users are inexperienced in spatial information science. This group of users cannot analyze spatial data and produce the required information. Therefore, the availability of mechanisms and applications for automatic and interoperable spatial data processing and information extraction is necessary. Generalization is one of the main geoprocesses, which is widely used. The
One of the main applications of polarimetric synthetic aperture radar (POLSAR) images is terrain classification. In this study, an algorithm is presented to extract optimized features of POLSAR images that are required for classification. The proposed algorithm involves three main steps: (i) feature extraction using decomposition algorithms, including both coherent and incoherent decomposition alg
Today’s traffic is one of the main concerns of urban managers. One of the solutions that have been proposed to reduce traffic is encourage people to use public transport instead of personal vehicles, so the quality of public transport should be increased. One way promoting public transport systems quality is creating urban traveler guidance system. In other hand, public transportation network is l
Effectiveness of management would be seen when we have to ensure the accuracy of the output. This is possible if the model predictions are done based on the behavior of desired phenomena in the real world, using appropriate organizing data in a Geo-spatial Information System. Therefore all the aspects of a phenomenon must be considered. But most Geo-spatial Information Systems' databases use a ver
Fire, a natural disaster, has significant effects on ecosystems and plays a major role in deforestation, and it is a major source of trace gases, aerosols and carbon fluxes. Remote sensing is a valuable data source to investigate different phases of fire management. The Moderate Resolution Imaging Spectroradiometer (MODIS) has been designed to include specific characteristics for fire detection. I
