Validation of Remote Sensing Content-based Information Retrieval (rs-cbir) Systems upon Scarce Data
نویسندگان
چکیده
Validation of Remote Sensing Content-Based Information Retrieval (RS-CBIR) systems requires innovative strategies to overcome the scarcity of labeled data. CBIR systems validation by means of precision/recall measures based on either, user’s feedback or a-priori known categories, are hard to apply to RS-CBIR systems. We propose to apply a datadriven (unsupervised) quality assessment strategy analogous to the DAMA strategy applied for the validation of classification methods used in thematic mapping. The strategy is intended for quality assessment when little or no ground truth is available. The proposed strategy deals with the RS-CBIR validation problem by giving a quantitative and qualitative evidence of the relative (subjective) quality of RS-CBIR systems without a-priori knowledge.
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