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In this paper we present the results of the development of a Web-based archiving and documenting system aimed to the management of multisource and multitemporal data related to cultural heritage. As c...
Since 2013, the EU FP7 research project “IQmulus” encourages the participation of the whole scientific community as well as specific user groups in the IQmulus Processing Contest (IQPC). This year, IQ...
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...
We propose a new way to initialize the mass function of the Dempster-Shafer theory of evidence. The new initialization process is based on a fuzzy statistical approach and uses the FSEM algorithm (F...
Change detection is the process of identifying differences in the state of objects and/or phenomena under consideration by observing them at different times. Change detection is important for monitori...
In this work, a multisource features set for classification of landscape and, more specifically, forestry environments, is proposed and evaluated. Spectral features are obtained from Landsat-TM images...
A novel approach for radiometric calibration and atmospheric correction of airborne hyperspectral (HRS) data, termed supervised vicarious calibration (SVC) was proposed by Brook and Ben-Dor in 2010. T...
Image registration is essential for geospatial information systems analysis, which usually involves integrating multitemporal and multispectral datasets from remote optical and radar sensors. An algor...
The geometric correction model describes the relationship between the features in image and object space. The majority models rely heavily on point-based features to do the rectification. Although it ...
Land cover type is a crucial parameter that is required for various land surface models that simulate water and carbon cycles, ecosystem dynamics, and climate change.Many land use/land cover maps used...

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