本文在对各种遥感信息提取方法进行深入分析的基础上, 提出了一种水体的遥感信息自动提取方法。该方法从遥感信息机理的角度出发, 构造地物信息提取模型, 并利用面向对象的设计方法建立了该模型, 从而实现广义上的基于知识的专题信息提取。以NOAA/AVHRR图像为例进行水体的自动提取, 通过对自然水体和新积水区的应用研究, 取得了较好的效果。可进一步应用于洪水灾害的监测。

Remote sensing ground feature extraction is a key to remote sensing applications. AS the Remote sensing applications advance, various thematic information extraction methods and models have been researched upon and developed. In recent years, intellectual information extraction has become the focus of remote sensing specialists, as artificial intelligence advances in the computer field. The main objective of this paper is to develop a new method for extracting remote sensing information intellectually. Firstly, a knowledge-based model for thematic information extraction will be developed on the basis of remote sensing information mechanism study; Secondly, the model has been set up under the direction of OO idea and so a broad-sense knowledge-based method is used. The above intellectual information extraction method is illustrated with an example of water recognition automatically from NOAA/AVHRR. Satisfied results have been achieved when this method is applied to identify natural water and newly flooded areas. Finally, flood disaster monitoring has also been experimented in this way.