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In recent years, the developments for Fully Convolutional Networks (FCN) have led to great improvements for semantic segmentation in various applications including fused remote sensing data. There is,...
Understanding planetary atmosphere-surface exchange and extra-terrestrial-surface formation processes within our Solar System is one of the fundamental goals of planetary science research. There has b...
Within the EU FP-7 iMars project, a fully automated multi-resolution DTM processing chain, called Co-registration ASP-Gotcha Optimised (CASP-GO) has been developed, based on the open source NASA Ames ...
The integration and visualization of geospatial data on a virtual globe play an significant role in understanding and analysis of the Earth surface processes. However, the current virtual globes alway...
Multi-resolution TIN model is a promising solution for achieving rapid visualization speed and interactive frame rates in the contexts of visualization, virtual reality (VR), and geographic informatio...
Remotely sensed images are the main source for a variety of mapping and change detection applications. Images from different satellites are employed in several of these applications. However, each typ...
The invasions of non-native species of vegetation pose significant threats to natural environments at all geographical scales. Saltcedar has been commonly treated as one of the several most threatenin...
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...
Based on the principle of remote sensing image classification, the paper roundly discusses most popular conservative methods of supervised classification and unsupervised classification of remote sens...
The last few years have seen satellite platforms with a large number of sensors (e.g. Terra and ENVISAT) coming on-line and the launching of a huge number of satellites with more than one sensor (e....
In this paper, we perform multi-sensor multi-resolution data fusion of Landsat-5 TM bands (at 30 m spatial resolution) and multispectral bands of World View-2 (WV-2 at 2 m spatial resolution) through ...
In this paper, the authors present an experiment performed in Padua, Italy to model a cultural heritage object from multiple range views. This object is Porta Portello, an old monumental door near th...
Corresponding to the characteristics of multi-discipline and multi-level management, land administration always requires and acquires spatial data at very different spatial and thematic resolution. T...
A new approach for object extraction from high-resolution satellite images is presented in this paper. The new approach integrates image fusion, multi-spectral classification, feature extraction and...

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