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CLOUD REMOVAL FROM SENTINEL-2 IMAGE TIME SERIES THROUGH SPARSE RECONSTRUCTION FROM RANDOM SAMPLES
Sentinel-2 Clouds Image Time Series Image processing Pre-processing
2016/7/27
In this paper we propose a cloud removal algorithm for scenes within a Sentinel-2 satellite image time series based on synthetisation of the affected areas via sparse reconstruction. For this purpose,...
MEASURING THE QUALTITY OF SAMPLES IN THE SUPERVISED CLASSIFCATION OF REOTELY SENSED IMAGERY
Supervised classification measuring the sample quality rough set
2015/9/28
In the supervised classification process of remotely sensed imagery, the quantity of samples is one of the important factors affecting the accuracy of the image classification as well as the keys used...
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