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In this paper an algorithm designed to map flooded vegetation from synthetic aperture radar (SAR) imagery is introduced. The approach is based on fuzzy logic which enables to deal with the ambiguity o...
Forest fire-potential is natural disaster that breaks out strongly , destructs largely and is difficult to dispose and rescue, its destructive power has a serious threat to the security ofsociety and ...
In vector model, the boundary between features is stored and shown categorically in an absolute way, in other words Membership or non-membership of a point in each polygon is known which can be 0 or 1...
With the development of RS technology, the evaluation of DOM becomes more important. Multi-level fuzzy comprehensive evaluation is the traditional method for DOM evaluation. But in the process of trad...
Recent developments of GSM technology enable new applications in distributed GIS and LBS so as to provide more relevant active service to the mobile user. Specifically, the visualization of the spatia...
In this paper, an approach for extracting vehicles from UAV aerial imagery is given. The approach is based on a fuzzy segmentation algorithm, which combine fuzzy c-partition and genetic algorithm, and...
Fuzzy spatial objects have become more and more important in GIS applications. When spatial phenomena are generalized by the crisp form, a lot of quantitative information is lost. Land cover as a fuzz...
Into an archaeological GIS, stored information is in spatio-temporal multi-modal form. Dates are estimated according to excavation data. Localizations are determined by several tools such as GPS, rada...
The fuzziness-based uncertainty of GIS products is studied from objective and subjective aspects respectively in this paper. From the point of view of objective aspect, the fuzziness-based uncertaint...
In view of the related research results of GIS and spatial analysis and according to the requirement of fuzzy spatial queries, this paper presents a spatial configuration rule mining and feature extr...
Fuzziness is an important aspect of the uncertainties of spatial data. In this paper, the mechanism and methods of spatial modeling for fuzzy geographical objects are focused and the following two iss...
Uncertainty modeling for geometric data is currently an important problem in spatial reasoning, geographic information systems (GIS) and spatial databases. In many geographical applications spatial re...
One of the main parameters which is helpful for industrial development in each country is land use mapping. With respect to land use mapping and industrial development strategies, managers as decisio...
The purpose of this paper is to investigate the applicability of change detector combination for improving the performance of change detection in remotely sensed data. Thereby, outputs of two fuzzy ...
HANDLING TEMPORAL UNCERTAINTY IN GIS DOMAIN: A FUZZY APPROACH.

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