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Remote sensing land-use scene classification has a wide range of applications including forestry, urban-growth analysis, and weather forecasting. This paper presents an effective image representation method, Gabor-filtering-based completed local binary patterns (GCLBP), for land-use scene classification. It employs the multi-orientation Gabor filters to capture the global texture information from...
Pattern recognition with computer systems presents a great challenge to researchers in computer science. In some cases patterns can be differentiated by their silhouette and recognized through the contour around its shape. In this study, shape is deliberately examined in terms of its flexibility, a measure defined to be the extent to which curves could be deformed. The proposed flexible object recognition...
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