GAOFEN-4 is a high-resolution optical remote sensing satellite on geosynchronous orbit, which has been found the potential to monitor the moving ships on the sea. Some classic moving ships target detection algorithms are studied. A new algorithm is proposed for the sequence images of GAOFEN-4 satellite, which can effectively suppress the interference of noise on moving ships target detection by performing the defogging of dark channel prior and a moving detection with visual background extractor. Some experiments are executed with real sequence images. It shows that the new algorithm is better than classic target detection algorithms for the sequence images.
Surface roughness is a key factor to evaluate the machining quality of parts and affect the sealing performance of products, especially for aerospace propulsion valve products with high sealing performance requirements. In this paper, a multi region sampling stitching method and multiple sampling mean methods are proposed to evaluate the surface roughness of small surface structures. And the uncertainty of micro size measurement is systematically analyzed. And three measuring methods on different structural sealing parts are compared and analyzed. The test results show that the roughness measurement method proposed in this paper is accurate and effective. The relative error of this measurement is less than 1%. It meets the high sealing surface quality requirements of aerospace products. This measurement method has important guiding significance and engineering application value for aerospace propulsion products with high sealing requirements.
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