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Multitemporal Hyperspectral (HS) images can be used in Change Detection (CD) to identify and discriminate among different kinds of change due to the fine sampling of the spectrum by HS sensors. In this work we propose a novel method for unsupervised multiple CD in multitemporal HS data based on binary Spectral Change Vectors (SCVs) and an agglomerative hierarchical clustering. First, we perform binary...
In the next years, the launch of new satellites with Hyperspectral (HS) sensors will guarantee the availability of regular multitemporal HS datasets. In order to exploit the dense sampling of the spectrum of HS sensors to discriminate multiple land-cover changes ad-hoc techniques are required. In this paper we propose a novel method for unsupervised multiple Change Detection (CD) in HS multitemporal...
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