A comprehensive, automated approach to determining sea ice thickness from SAR data
A comprehensive, automated approach to determining sea ice thickness from SAR data
复制标题
DOI：
10.1109/36.368223
复制
发表时间：
1995
期刊：
影响因子：
--
通讯作者：
D. Haverkamp;Leen-Kiat Soh;C. Tsatsoulis
中科院分区：
文献类型：
--
作者：
D. Haverkamp;Leen-Kiat Soh;C. Tsatsoulis
记录了通过算法和启发式方法组合进行海冰分类的方法。由此产生的系统是一种综合技术，它使用动态局部阈值作为分类基础，然后使用专家系统中组织的启发式地球物理知识补充初始分类。动态局部阈值方法允许根据局部强度分布将冰分为厚度类别。由于它利用每个图像中的数据，因此它可以适应不同的冰厚度强度以适应区域和季节变化，并且不受使用预定义参数造成的限制。 >
Documents an approach to sea ice classification through a combination of methods, both algorithmic and heuristic. The resulting system is a comprehensive technique, which uses dynamic local thresholding as a classification basis and then supplements that initial classification using heuristic geophysical knowledge organized in expert systems. The dynamic local thresholding method allows separation of the ice into thickness classes based on local intensity distributions. Because it utilizes the data within each image, it can adapt to varying ice thickness intensities to regional and seasonal changes and is not subject to limitations caused by using predefined parameters. >