A novel bag of visual words model for object detection in satellite images

In this paper, a novel bag of visual words algorithm for object detection in satellite images is presented. Two main extensions to classical bag of visual words algorithm are proposed: Exploiting scale information and defining important visual words. Although bag of visual words model is widely used, there isn´t enough study about using scale information and weighting visual words due to an importance measure. A new descriptor is presented by adding scale information to SIFT descriptor and a novel visual word weighting algorithm is proposed considering that more occurrence in the object and less in the background is an importance measure.