Visual Data Mining For Feature Space Exploration Using In-Situ Data
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)(2016)
摘要
In this paper, we present the visualization of image databases based on their primitive features. Our approach is to have a visual navigation tool for allowing the exploration and exploitation of large image archives. The tool is able to project the content of a given image database based on the primitive feature space and to provide interaction between the final user and the huge amount of data. Land Use/Land Cover area frame statistical Survey in-situ data are used as test dataset. Bag-of-Words and Weber Local Descriptors are used as primitive features.
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关键词
Visual data mining,visualization,dimensionality reduction,land cover,land use
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