论文部分内容阅读
海洋遥感图像的水陆分离对于船舶导航、海洋工程及海洋安全领域的研究都有着十分重要的意义。针对遥感图像的多光谱特性进行研究,提出一种有效的多光谱遥感图像的水陆分离方法。在对IKONOS卫星遥感影像数据的蓝、绿、红和近红外4个波段进行光谱特性分析的基础上,选定各自的权值,采用LOG边缘检测算子分别对各波段做边缘提取,最后通过对各波段的边缘加权叠加实现水陆分离。该方法充分利用了遥感图像的多光谱特性,通过实验仿真验证了该方法对多光谱遥感图像水陆分离的有效性和可行性。
The marine and remote sensing image separation is very important for the research of ship navigation, marine engineering and marine safety. Aiming at the multi-spectral characteristics of remote sensing images, an effective multi-spectral remote sensing image classification method is proposed. Based on the analysis of the spectral characteristics of blue, green, red and near infrared bands of IKONOS satellite remote sensing image data, the respective weights were selected and the edges of each band were extracted by LOG edge detection operator respectively and finally passed The edge of each band weighted superposition of land and water separation. This method makes full use of the multispectral properties of remote sensing images and validates the effectiveness and feasibility of the proposed method for multispectral remote sensing images.