按照国家土管局土地利用现状分类标准,利用叠合的海宁市长安镇1:1万同时期土地详查电子地图的全域地面实况数据,在遥感图像处理常规分类方法的范畴内,采取最大程度利于提高分类精度的措施,所得的分类精度上限为65%.研究表明,通常在试验区的小块局部中选择训练样本和选择评价分类精度的参考像元,对精度评价有显着影响,参考像元质量和数量的限制很可能是这些年来一些同类研究报道了较高分类精度结果的主要原因。

It is still not clear that how high the upper limit of land-use classification accuracy can be reached using TM imagery in southeast p la in areas of China featuring mass irrigation networks and small tracts. In this p aper a result for the upper limit, 65%, is presented based on the GIS layer (as gro und truth) of the detailed land-use inventory map at 1:10000 scale being well o verlaid with a TM image of the same period, according to the national land-use c lassification system by taking all measures that may make the accuracy higher wi t hin the framework of conventional image classification mathods. The results show that the selection of training samples and reference pixels for accuracy assess ment in a limited part of test area has significant influence on accuracy assess me nt. The limitation of quality and quantity of reference pixels is probably the m a in reason why some early researches of this kind reported higher classification accuracy.