In this paper, we propose a new featured-based geo-registration technique for aerial images that helps nearly real-timely calibrate and update the telemetry data and sensor model on flight. Firstly by using the available telemetry information, we bring both images into a common projection space. Second, we use the distribution of local geometric properties to guess the initial rotation and translation parameters. After the coarse alignment, the Harris operator is adopted to produce the initial feature points set, while the corresponding feature points set in the target image can be established through normalized correlation in local neighborhood of the selected points' position. Finally after the matched feature point sets are well constructed, the transform parameters can be solved by least square error estimation. The experiment shows our algorithm can effectively reduce the error in telemetry data caused by various noises.
With the fast development of Multimedia Message Service (MMS), MMS has penetrated people’s life as an important way for real-time communication of message. Clients use the service everyday to make, send and transmit huge amount of real-time multimedia messages. Usually the filtering application can block messages by lists of addresses (Black/White list) or use traditional Text/Keyword filtering methods. We propose a new filtering scheme by using content-based image analysis technology, which can help filter trash messages in MMS, while the route scheme is adapted for the goal of content-based real-time blocking system.