isprsarchives XL 7 W1 145 2013
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level 2A satellite optical image using SAR data (in other words the co-registration of optical and SAR data), over greater areas of Earth’s surface (not just small image patches),
On the basis of RMS height and the mean backscattering coefficient within each window, the groups of pixels are labeled as one of the major land cover types i.e., water, urban
RA1) To perform quantitative validation of the simulation model against real data and test the model sensitivity to vege- tation parameters. RA2) To use the simulation model
This research focused on the latter part by analysing the impact of uncertainty on land-use maps, obtained through a remote sensing interpretation chain involving
From the point of view of remote sensing and photogrammetry field, this article first took an overview of its applications on agriculture throughout past 3 decades, analyzed
1) The accuracy of three different SVM classifiers is much better than the traditional minimum distance classification. The Feature weighted& Mixed kernels SVM proposed in
The accuracy assessment was derived based on the available land cover maps for fuzzy post classification comparison, combined fuzzy spectral – temporal
In order to investigate the suitability of different input datasets for the classification of different land use / land cover types we also performed accuracy assessments for
