摘要
传统的林业遥感图像计算机分类方法,多作为目视判读的一种辅助手段,对数字图像数据本身进行分类。在这种分类过程中,各种辅助数据及林学家、图像判读员的经验和知识一直未能得到直接充分有效的利用。通过建立专家系统可将上述各种辅助数据和专家知识直接加入计算机分类的过程,以达到在一定程度上取代目视判读的目的。本文讨论了一个小型林业遥感图像分类专家系统的总体设计、数据库设计、信息综合、推理方法以及用此系统对一TM图像进行实际分类的初步结果。
In the field of forestry, computer image procesing has long been used as a subsidiary means to support human interpretation, instead of as a means to process the images independently. One of the reasons is that the conventional methods of computer classification lack the abilities of making effective use of ancillary data and human knowledge during the processing.A PC-based experimental expert system for forest and landuse classification of remotely sensed images is built to remedy this shortcoming. This paper describes the overall architecture, knowledge base and evidential reasoning strategy of the system. The explanation of a new method of pre-processing of digital images is also included.The system was tested with a TM image on a mountain area in North China. Both the reults from the system and a conventional method were checked by human interpretation and the comparison is reported.
出处
《林业科学研究》
CSCD
北大核心
1989年第5期476-482,共7页
Forest Research
关键词
专家系统
遥感
森林
分类
信息
expert system
remot sensing
forest classification
information integration
