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Panchromatic images with different spectral band position and multispectral images with degraded spatial resolution were generated from airborne visible/infrared imaging
SRM techniques provide land cover information in a finer spatial resolution using the outputs of soft classifiers. The outputs of soft classifiers used in SRM
This paper proposes a strategy of using vector decomposition, as a model to transfer the spatial detail from relatively higher resolution data, in association with sensor simulation
Historical data is a prime input for temporal studies using remote sensing technology. For most of the country, historic data in high resolution is not available for
The maximum difference in the claim rate is achieved using the downsampled surface model with 10 meters spatial resolution, which is shown in figure 5(b).. Both the original
Although web-mining provided neither a high degree of temporal precision concerning the move event, nor the spatial knowledge of route taken (length and duration
For the present paper, RISAT-1 Single- Look Complex (SLC) SAR data acquired in circular Fine Resolution Stripmap (cFRS-1) mode having 75 MHz chirp bandwidth
Optimised terrestrial biospheric carbon fluxes were derived using GOSAT data and its spatial and temporal variability was studied over India for the period June 2009 and
