This paper offers a partial overview of some techniques and results emanating from inverse problems or signal processing with application to the development or enhancement of the exploitation of data obtained by experiments on physical systems pertaining to the aerospace domain. The first part deals with linear problems encountered in various problems of signal processing, whereas the second one addresses two specific image-based identification techniques. Finally, the conclusion strives to identify some future trends.