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The presented Softmax Regression classifier is a generalization of logistic regression. It is used for multi-class classification, where classes are mutually exclusive. Implemented in a classification...
In this paper, the potential of using free-of-charge Sentinel-1 Synthetic Aperture Radar (SAR) imagery for land cover mapping in urban areas is investigated. To this aim, we use dual-pol (VV+VH) Inter...
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...
The hybrid classifier is presented in combination of expert system and object oriented approach, for which increased information is added for classification and improve the accuracy. Instead of the or...
For spatial decision support and regional (agro-)ecosystem modeling, land use data are of central importance and have to be available in a spatial data infrastructure for regional modeling. Usually, l...
Recently, the unique capabilities of Polarimetric Synthetic Aperture Radar (PolSAR) sensors make them an important and efficient tool for natural resources and environmental applications, such as land...
Satellite data acquired in short time intervals like Terra,NOAA,…are very suitable in order to map vegetations in the scale of regional. In addition, because of being free of charge ,these data are...
Statistical based algorithms, like Linear Mixture Model (LMM); Fuzzy Set Theory based algorithms, like Fuzzy c-means (FCM), and Artificial Neural Network (ANN) based classification algorithms have be...
The aim of this study is to discriminate urban land cover types using the features derived from optical and spaceborne interferometric synthetic aperture radar (InSAR) data sets. For the efficient di...
The use of high resolution IKONOS imagery should make it possible to extract urban features like buildings and roads more easily than conventional satellite image data. This work examines the synerge...
Anthropogenic land use activities are significantly contributing to the ecological degradation of the Earth system. Therefore, having actual and reliable land cover information is fundamental to stud...
Boreal forests and wetlands play an important role in the climate system, in particular through biosphere-atmosphere flux exchanges.They are an important pool of carbon and their role as sink or sourc...
In this paper a discussion about the effects of very high resolution (VHR) in both the spatial and the spectral dimensions for urban land cover mapping is proposed. We confirm that VHR spatial sensors...
The National Consortium on Remote Sensing in Transportation Environmental Assessment headed out of Mississippi State University conducts research into the nature of land cover change as it relates...
Essential Climate Variables were listed by the Global Climate Observing System as critical information to further understand the climate system and support climate modelling. The European Space Agen...

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