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Coastlines are important features for water resources, sea products, energy resources etc. Coastlines are changed dynamically, thus automated methods are necessary for analysing and detecting the chan...
Recently, high resolution remote sensing image segmentation is a hot issue in image procesing procedures. However, it is a difficult task. The difficulties derive from the uncertainties of pixel segme...
Late greening vegetation has been regarded as significant indicator of flood recessional wetlands ecosystem in the Poyang lake natural reserve (PLNNR). Mapping the wetlands, especially the distributio...
The automatic segmentation of land cover features, within very high resolution (VHR) satellite imagery, is a complex task which is important to geo-spatial applications such as urban planning, crop mo...
This paper reviews the application of fuzzy theory and its combination with artificial neural-network technology for remote sensing information extraction. A dynamic fuzzy neural-network model is pres...
In the paper, a novel method for high spatial remote sensing data classification was put forward. The method was based on fuzzy set theory combined with NDVI. The classification experiments were carri...
The aim of this study was to classify Envisat MERIS and Landsat ETM satellite sensor imagery using fuzzy classification techniques such as, linear mixture modelling and artificial neural networks. The...
The idea of assessing the damages to roads network after earthquake strikes has been referred as a matter of importance for performing every systematically planned activity in the affected region. Whe...
In this paper a general fuzzy approach for segmentation-based classification is proposed. Traditional segmentation techniques focus on partitioning imagery into image-objects with well-deᤙ...
The Wadden Sea is an almost untouched area with a size of about 7300 km2 along the German, Dutch and Danish coast. Because of tide the area is flooded two times a day, creating a very special and sens...
This contribution concentrates on the determination of thematic uncertainty after the classification process. It is shown that in this context – in particular when evaluating remotely sensed scenes sh...
Although uncertainties exist in spatial knowledge discovery, they have not been paid much attention to. In the past years, the most researches of spatial knowledge discovery focused on the methods of ...
This paper presents a pedestrian indoor navigation system based on the multi-sensor fusion and fuzzy logic estimation algorithms. The proposed navigation system is a self-contained dead reckoning navi...
FUZZY BASED SPATIAL QUERY AND ANALYSIS IN AN URBAN INFORMATION SYSTEM.
Urban land use classification from remotely sensed images has drawn great attention in the past decades. Most researchers derive land use data from remotely sensed images alone, but the results are ...

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