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- W1531042021 abstract "Texture plays a fundamental role in remote sensing image analysis and texture descriptors based on Gabor filter banks provide a reasonable baseline for aerial image classification. It is known that Gabor wavelet coefficients in different sub- bands are correlated and cross-correlations between Gabor wavelet coefficients at different scales have already been used for image classification. In this paper we propose using cross-correlations between Gabor wavelet coefficients at different orientations as a de- scriptor for aerial image classification. We extend our de- scriptor to color images using new quaternion representation based on symplectic decomposition. On currently the largest publicly available dataset of aerial images we show that the proposed descriptors obtain 85% correct classification rate thus improving state-of-the-art considerably." @default.
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- W1531042021 date "2012-04-11" @default.
- W1531042021 modified "2023-09-23" @default.
- W1531042021 title "Orientation difference descriptor for aerial image classification" @default.
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