| dc.description.abstract | The collection of satellite images is not constrained by time which can be captured day and night. It is unlike the images captured by aircrafts which are heavily constrained by weather conditions and environmental factors to secure useful images. Recently, satellite images have been widely applied in many fields, such as resource mining, pollution monitoring, etc. In this thesis, we plan to apply it to the military to analyze the movement of enemy for security purpose. The information conveyed by satellite images will increase with the increase in the resolution of current remote sensing devices. Hence, it can be uplifted to more advanced high-level applications in military use.
The main purpose of this dissertation is to analyze the satellite images that contain aircrafts and recognize the types of the allocated aircrafts. In our system, image processing techniques are first employed to perform the image preprocessing tasks, such as image quality enhancement, noise removal, automatic binarization, and rotation, scaling, translation adjustment. Then, distinguishable features derived from the characteristics exhibited by aircrafts are extracted on which the recognition are based. Last, multi-level recognition scheme is adopted to recognize the types of aircrafts by incorporating suitable weight into each recognition level.
Experiments were conducted on a wide variety of satellite images. Experimental results reveals the feasibility and validity of the proposed approach in recognizing aircrafts in satellite images. | en_US |