摘要
针对星载SAR图像水体检测问题,提出一种基于地理信息引导的水体检测方法。该方法结合已有的地理辅助数据,基于直方图压缩对影像上的地理信息覆盖范围进行粗提取,再利用灰度约束下的迭代生长算法,检测出精度较高的水体信息。实验选取具有典型性水域的影像。结果证明:此方法能精确定位水体,检测速度快。
The paper presents a geographical-information-based water body detection method for space-borne SAR image.This method,with the aid of available ancillary geographical data,conducts crude extraction of the coverage area of geographical information from the image based on histogram compression,and then detects information of water body with relatively high precision through iteration growth under gray constraint.Typical water area images are selected for the experiments and the result shows that this method can precisely pinpoint water body with a fast detection.
出处
《山东建筑大学学报》
2010年第2期125-128,133,共5页
Journal of Shandong Jianzhu University
基金
上海市科学技术委员会科研项目(08DZ1205708)
关键词
SAR图像
水体检测
地理信息系统
灰度约束
SAR image
water body detection
geographic information system
gray constraint
