isprsarchives XL 7 W3 587 2015
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Classification and extraction of spatial features in urban areas using high- resolution multi-spectral imagery, IEEE Geoscience and Remote Sensing Letters ,
There is a strong demand for up-to-date information on formal and informal settlements in South Africa. This paper demonstrated the potential of remote sensing to
These monitoring tasks can be carried out with Sentinel-1 data using automatic waterline detection processors and supported by high- resolution TS-X products for times of strong
1995). Recently, SVMs have been successfully applied in the classification of hyperspectral remote-sensing data. Camps- Valls in 2004 proposed an automatic algorithm
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-7/W3, 2015 36th International Symposium on Remote Sensing of
In this study, we used remote sensing data and meteorological data to estimate forest NPP in China based on CASA model, and then employed field observations to inversely estimate
In this paper, a new fast image segmentation algorithm for high resolution remote sensing imagery is proposed, which is based on graph theory and fractal net
One single classification algorithm cannot meet the need of quick land cover mapping with high efficiency, by utilizing high resolution remote sensing imagery with a large
