2015
DOI: 10.5194/isprsarchives-xl-7-w3-1195-2015
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A Class-Outlier Approach for Environnemental Monitoring Using Uav Hyperspectral Images

Abstract: ABSTRACT:In several remote sensing applications, detecting exceptional/irregular regions (i.e, pixels) with respect to the whole dataset homogeneity is regarded as a very interested issue. Currently, this is limited to the pre-processing step aiming to eliminate the cloud or noisy pixels. In this paper, we propose to extend the coverage area and to tackle this issue by regarding the irregular/exceptional pixels as outliers. The main purpose is the adaptation of the class outlier mining concept in order to find… Show more

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