Research On The Ship Target Recognition In High Resolution Optical Remote Sensing Image

Automatic ship target detection and recognition in high-resolution optical remote sensing images have a great value in the military. This paper, which background is engineering application, is based on the theory of the understanding of optical remote sensing image. It studies on the aspects of ship target detection, Ship feature extraction, classification design and establishment of the Sea Area target Surveillance System. It can distinguish ship target from massive remote sensing image data quickly and accurately. The paper mainly includes the following several facets:1,For offshore ship target automatic detection, Proposes a image constant false alarm rate method base on Top-Hat transformations. And a lot of ship detection experiments were carried out and the results demonstrated the efficiency of the algorithm.2,For in-shore ship target automatic detection. A method of target detecting and recognition based on Satellite auxiliary data and prior information of the harbors has been proposed. Firstly, the method makes sure the accurate position of the harbor target in the image of large size. Then, it detects and recognizes the ship target which lie in the harbor area, according to the structure information of the harbor target.3,Proposed a novel feature recognition method for ship target based on the Independent Component Algorithm (ICA) zernike invariant moments. Firstly, we analyze the divided Region of Interest (ROI) with ICA method. And, we transform the shape of target to the canonical form. Then, the invariant moments of normalized shapes can be extracted. It will be used as feature vector to do further recognition. The experiment demonstrates that the performance of this method is robust.4,A pattern recognition classifier based on support vector machine is designed in this Paper .rough classification based on stability and anti-interference characteristics used to excluded false target. Then ICA zernike invariants moment were extracted to classification. Furthermore, this method can recognize the ship target from the remote sensing images effectively.Finally, the functional design and key technologies of the Sea Area Target Surveillance System for Remote Sensing Images are discussed. concludes the research of this thesis. Some problems and interesting area for future research are pointed out.