Study on content-based remote sensing image retrieval

Some basic issues on content-based remote sensing image retrieval are discussed in this paper. The framework, processing flow and levels are proposed based on theory of CBIR and characteristics of RS image. Oriented to the practical demands, five retrieval patterns including template-based, attribute-based, metadata-based, semanteme-based and integrated retrieval are proposed. The contents and features that can be used in content-based remote sensing image retrieval include color, shape, texture, spectra, spatial relation, metadata and relative rules and knowledge. Among those features, spectral features, spatial features and metadata are the main aspects of RS image differing from common images.