海洋卫星遥感图像对比度特征同步检测方法研究

Research on synchronized detection of contrast features in marine satellite remote sensing images

传统的海洋卫星遥感图像对比度特征同步检测方法具有运算复杂、检测效率低的缺陷,为了解决上述问题,提出海洋卫星遥感图像对比度特征同步检测方法研究。以提取的海洋卫星遥感图像对比度特征为依据构建图像对比度特征图,以此为基础,采用最大熵估计算法对遥感图像对比度特征进行分割,得到遥感图像对比度特征熵,通过LBP方法对遥感图像对比度特征进行同步定位,实现了海洋卫星遥感图像对比度特征的同步检测。通过测试结果显示,与传统的海洋卫星遥感图像对比度特征同步检测方法相比较,提出的海洋卫星遥感图像对比度特征同步检测方法极大地降低了运算复杂度,提升了检测效率,充分说明提出的海洋卫星遥感图像对比度特征同步检测方法具备更好的检测性能。

The traditional method of ocean satellite remote sensing image contrast feature synchronous detection has the disadvantages of complex operation and low detection efficiency.To extract the Marine satellite remote sensing image contrast features as the basis to build the image contrast figure,on this basis,using the maximum entropy estimation algorithm for remote sensing image contrast characteristics of segmentation,from remote sensing image contrast feature entropy,by LBP feature synchronized orientation method of remote sensing image contrast,implements the Marine satellite remote sensing image contrast characteristics of synchronous detection.Through the test results show that with the traditional Marine satellite remote sensing image contrast characteristics of synchronous detection method,puts forward the Marine satellite remote sensing image contrast characteristics of synchronous detection method greatly reduces the computation complexity,improve the detection efficiency,fully show the ocean satellite remote sensing image contrast characteristics of synchronous detection method has better detection performance.