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In the traditional linear spectral mixture model, a class is represented by a single endmember. However, the intra-class spectral variability is usually large, so an endmember is difficult to portray a category accurately, leading to incorrect unmixing results. Some algorithms play a positive role in overcoming the endmember variability, but there are shortcomings on computation intensive, unsatisfactory...
Based on adaptive rood pattern search (ARPS) algorithm, a new fast and efficient motion estimation algorithm called enhanced adaptive rood pattern search (E-ARPS) is proposed in this paper. Unlike ARPS, the E-ARPS utilizes spatial correlations to predict the initial search centre, then introduces a new initial search based on motion vector(MV) centre-biased distribution , and an adaptive unequal-arm...
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