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The SPOT 6–7 satellite ground segment includes a systematic and automatic cloud detection step in order to feed a catalogue with a binary cloud mask and an appropriate confidence measure. In order to significantly improve the SPOT cloud detection and get rid of frequent manual re-labelings, we study a new automatic cloud detection technique that is adapted to large datasets. The proposed method is...
This paper addresses the issue of cartographic database creation or updating using high resolution SAR and optical images. It proposes a processing chain to create or update road databases in urban environment. The approach is composed of two steps. First, if a database is available, the presence of each database object is checked in the images. Then, we verify if road hypotheses extracted from images...
With the recent (or in the very next future) availability of high resolution optical and radar satellite sensors, the need of multi-sensor image processing systems able to assist human operators in scene interpretation is more and more crucial. This paper focuses on remote sensing image understanding with exogenous data, in the framework of cartographic applications. We propose a processing chain...
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