Detecting aircrafts is important in the field of remote sensing. In past decades, researchers used various approaches
to detect aircrafts based on classifiers for overall aircrafts. However, with the development of high-resolution
images, the internal structures of aircrafts should also be taken into consideration now. To address this issue, a
novel aircrafts detection method for satellite images based on probabilistic topic model is presented. We model
aircrafts as the connected structural elements rather than features. The proposed method contains two major
steps: 1) Use Cascade-Adaboost classier to identify the structural elements of aircraft firstly. 2) Connect these
structural elements to aircrafts, where the relationships between elements are estimated by hierarchical topic
model. The model places strict spatial constraints on structural elements which can identify differences between
similar features. The experimental results demonstrate the effectiveness of the approach.
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