Analysis of Remotely Sensed Sea Ice Images Using an Expert System

From the abstract of some of the referenced papers: An expert system is being developed which will apply knowledge-based techniques to the automated interpretation of remotely sensed sea-ice images taken over East Antarctica by the NOAA series of meteorological satellites. It is capable of accepting satellite images, deriving characteristic features from them and then performing knowledge-based reasoning to identify regions of cloud, land, open water and various categories of sea-ice. XXXXXXXXXXXXX This paper describes the system design of SPARTEX, a system developed to use information from remote sensing and geographic information systems linked to expert systems. It aims to automate the process of classifying information about the actual or potential use of part of the earth's surface. See the link below for public details on this project.部分参考文献的摘要节选如下： 本研究正在开发一款专家系统（expert system），该系统将运用基于知识的技术，对美国国家海洋和大气管理局（NOAA）系列气象卫星在东南极洲上空获取的遥感（remote sensing）海冰图像进行自动解译。该系统可接收卫星影像，从中提取特征参数，并通过基于知识的推理识别云、陆地、开阔水域以及各类海冰区域。 XXXXXXXXXXXXX 本文介绍了SPARTEX的系统设计方案，该系统依托与专家系统相连的遥感（remote sensing）与地理信息系统（geographic information system, GIS）数据实现功能，其核心目标是实现地球表面部分区域实际或潜在用地信息分类流程的自动化。可通过下方链接获取该项目的公开详情。