Abstract
Remote sensing image retrieval based on texture features and color features is proposed, for meeting the limitations of single features of remote sensing image retrieval and the computational cost of traditional retrieval methods. On the analysis of the existing remote sensing image retrieval, the general frame of remote sensing image retrieval which is based on the color and Gabor wavelet texture features are established. According to the optimization of filter parameters which designed a group of multi-scale and multi-directional filters, the two image feature fusions are based on texture feature and color feature. Then image retrieval prototype system is designed and implemented based on color and texture features. The obtained color and texture features are used to retrieve image database. The experimental results show that the proposed method is efficient.
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© 2013 Springer-Verlag London
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**ao, Q., Liu, M., Gao, S. (2013). Remote Sensing Image Retrieval Based on Color and Texture. In: Zhong, Z. (eds) Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012. Lecture Notes in Electrical Engineering, vol 220. Springer, London. https://doi.org/10.1007/978-1-4471-4844-9_63
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DOI: https://doi.org/10.1007/978-1-4471-4844-9_63
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