Research On The Detection And Recognition Technology Of Dim And Small Target In Complex Condition

The detection and recognition of dim and small target is a hot research subject in the field of image process and target detection and recognition. This research also has an important strategic application value. In this dissertation, detection and recognition of dim and small target in images are studied. Dim and small targets are detected by processing images and be recognized with information technique.Fist of all, the basic characteristics of the images with small targets are studied. These characteristics include the models of image noise, space background and small targets. The image pre-processing before targets detection is studied too.Then,"Detect-Before-Track"algorithm is studied. It is used for detecting dim and small targets in complex background images with week noise. As the dim and small targets can not be detected with a single image processing technique, two new methods of dim and small targets detection are proposed. One is base on the wavelet transform algorithm and information fusion technology. The other is base on the wavelet transform algorithm and mathematical morphology. Simulation results show that the two new algorithms can obtain the good detection results.Following,"Track-Before-Detect"algorithm is studied. It is used for detecting dim and small targets in simple background images with strong noise. In allusion to the flaws of general dynamic programming algorithm with maximizing energy, a new improved method is proposed, which is based on the most steady states. Simulation results show that the proposed algorithm can well solve the energy scattering problem.And then, recognition algorithm of dim and small targets is studied. Because of the lack of the small targets'information, it is difficult to recognize small targets and the recognition reliabilities always are low. A new improved method of small targets recognition is proposed,which is base on the the information of targets'velocity , gray and tracks. Simulation results show that recognition reliabilities are raised obviously.Finally, a kind of software of detection and recognition of dim and small target is developed with VC++ and OpenCV. Several basic dim and small targets detection and recognition algorithms and new methods are implemented by it. The effect of these new methods in this dissertation is validated by using the software.