Abstract: This paper presents a novel active learning (AL) method for retrieving remote sensing images from large archives. The proposed AL method defines an effective set of relevant and irrelevant images with regard to a query image by jointly evaluating three criteria: i) uncertainty, ii) diversity and iii) density of images in the archive. The proposed AL method assesses jointly the three criteria based on two consecutive steps. In the first step the most uncertain images are selected from the archive based on margin sampling strategy. In the second ...
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Topics: 
Artificial intelligence
Computer vision
Data mining