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本文介绍了一种利用遥感图像数据及土地资源野外调查数据,在IBM—PC/XT微机上,建立区域性土地资源评价信息系统的方法。该系统可对土地资源进行高效、快速的周期性评价和自动制图。 系统采用网格方法对多边形图像进行特征编码及数字化输入,利用模糊数学的原理和方法,建立了土地资源适宜性评价的模糊动态聚类评价模式,并用模糊模型识别评价模式进行土地资源的质量评价。根据上述评价模式,系统可进行多层数字图像之间的逻辑图像运算,从而实现了土地资源评价过程的自动化。
This paper introduces a method of establishing a regional land resource assessment information system on IBM-PC / XT microcomputer using remote sensing image data and field investigation data of land resources. The system allows efficient, rapid periodic evaluation of land resources and automated mapping. The system uses grid method to characterize and digitize the polygon images. By using the principles and methods of fuzzy mathematics, this paper establishes a fuzzy dynamic clustering evaluation model of land resource suitability evaluation, and evaluates the quality of land resources using fuzzy model identification evaluation model . According to the above evaluation mode, the system can carry out the logic image operation between multi-layer digital images, so as to realize the automation of the land resources evaluation process.