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In recent years, the resolution of remotely sensed imagery has become increasingly high in both the spectral and spatial domains, which simultaneously provides more plentiful spectral and spatial information. Accordingly, the accurate interpretation of high-resolution imagery depends on effective integration of the spectral, structural and semantic features contained in the images. In this paper,...
In object-oriented remote sensing imagery classification, numerous spectral, texture, shape and contextual features can be derived and used to discriminate classes and produce finer map. The high-dimensional features may induce Hughes phenomenon that classification accuracy decreases with more features involved. To improve the classification accuracy and efficiency, a hybrid feature selection method...
This paper designs an object-based confusion matrix (OCM) classification accuracy assessment scheme to accurately estimate the overall and individual category classification accuracy. The estimation protocol and the sample data collection procedures are both taken into account. On the one hand, the two commonly used OCM construction methods based on object element and weighted by object area are analyzed,...
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