In this thesis, opti-acoustic stereo imaging, which is the deployment of two-dimensional (2D) high frequency imaging sonar with the electro-optical camera in calibrated stereo configuration, is studied. Optical cameras give detailed images in clear waters. However, in dark or turbid waters, information coming from electro-optical sensor is insufficient for accurate scene perception. Imaging sonars, also known as acoustic cameras, can provide enhanced target details under these scenarios. To illustrate these visibility conditions, a 2D high frequency imaging sonar simulator as well as an underwater optical image simulator is developed. A computationally efficient algorithm is also proposed for the post-processing of the returned sonar signals. Where optical visibility allows, integration of the sonar and optical images effectively provides binocular stereo vision capability and enables the recovery of three-dimensional (3D) structural information. This requires solving the feature correspondence problem for these completely different sensing modalities. Geometrical interpretation of this problem is examined on the simulated optical and sonar images. Matching the features manually, 3D reconstruction performance of opti-acoustic system is also investigated. In addition, motion estimation from opti-acoustic image sequences is studied. Finally, a method is proposed to improve the degraded optical images with the help of sonar images. First, a nonlinear mapping is found to match local the features in opti-acoustical images. Next, features in the sonar image is mapped to the optical image using the transformation. Performance of the mapping is evaluated for different scene geometries.

Space debris is becoming an increased threat to the future use of space orbits. In order to counteract this threat, the field of Space Situational Awareness (SSA), and the sub-field Space Surveillance and Tracking (SST), have been developed to gather knowledge about the space debris and satellites surrounding Earth. The orbit of a satellite can be determined by acquiring images of the satellite using a telescope and a sensor. During this thesis, a tool has been programmed in Python. This tool can simulate these types of images of satellite passes, at a given time and location. The simulator takes the system parameters of the telescope and camera sensor into account, together with several different types of disturbances which affect these images. The project has been carried out at the Swedish Space Corporation (SSC), which recently launched an SSA initiative. They plan to use these images to learn more about their upcoming observations, and possibly to test an orbit determination software. / Rymdskrot är ett allt mer påtagligt hot mot den framtida användningen av om-loppsbanor i rymden. För att motverka detta hot har det blivit viktigt att kartlägga rymdlägesbilden och de objekt som ligger i omloppsbana runt jorden. Detta görs genom att observera, identifiera och banbestämma satelliter. En satellits omlopps-bana kan bestämmas genom att ta bilder av satelliten med hjälp av ett teleskop och en sensor. Under detta examensarbete har ett verktyg för att kunna simulera sådana bilder utvecklats. Simuleringsverktyget har programmerats i Python och kan simulera bilder av satellitpass vid en given tidpunkt och från en given plats. Verktyget tar hänsyn till systemparametrarna för teleskopet och kamerasensorn, samt effekterna av ett flertal olika typer av störningar som påverkar dessa bilder. Projektet har genomförts hos företaget Swedish Space Corporation (SSC), som nyligen lanserade ett initiativ för att bättre förstå rymdlägesbilden. De planerar att använda dessa bilder för att lära sig mer om deras kommande observationer, samt att eventuellt testa en programvara för att bestämma banparametrar.