Registration errors between two images produce artefacts when their per-pixel difference is used to detect changes. These artefacts constitute a source of...
Graph-based spectral clustering algorithms involve the analysis of an affinity matrix. The latter defines the pairwise similarity relations among data points....
Spectral unmixing is a widely used approach for analysing hyperspectral images. This technique requires the knowledge of endmember spectral signatures that are...
Spectral unmixing is a widely used approach for analysing hyperspectral images. This technique requires the knowledge of endmember spectral signatures that are...
In this paper, an algorithm for image thresholding based on semivariance analysis is presented. The rationale of the approach is to binarize an image such that...
The objective of map regionalization is to group contiguous objects on a map into larger entities sharing similar properties or relationships, resulting in...
A methodology is being developed to identify lineaments in aeromagnetic and digital elevation model (DEM) data that will assist in locating brittle faults. The...
An adaptive filter for the reduction of artifacts caused by misregistration in difference images is presented. The technique relies on an adaptive center...
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