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由于生长环境、地带性分布规律和垂直差异,山地与平原地区的不同植被类型在遥感影像上存在“同物异谱”及“异物同谱”现象,易导致土地类型的误分。为避免此类错分,在进行土地覆被类型解译之前,应首先确定平原、山地植被的边界。本文在遥感影像聚类分析、GIS空间分析及数理统计分析技术的支持下,以江西省都昌县北部地区为研究区域,基于高分一号(GF-1)遥感卫星影像及地形要素,完成了山地植被与平原植被的界线提取。实验结果显示,本研究得到的植被界线精度高达99.47%和96.28%。与单纯基于遥感影像分类得到的植被边界成果相比,精度提高了近25%和23%。研究证明,高分辨率遥感影像与地形因子结合后,计算得到的山地平原划分界线精度有明显提高,可以满足高分辨率遥感影像土地覆被类型解译研究的需要。
Due to the growth environment, zonal distribution and vertical differences, the different types of vegetation in mountainous and plains regions may have the phenomenon of “same matter different spectrum ” and "foreign matter . To avoid such misclassification, the interpretation of land cover types should be preceded by the determination of the boundaries of plain and mountainous vegetation. With the support of remote sensing image clustering analysis, GIS spatial analysis and mathematical statistics and analysis techniques, this study is based on the northern part of Duchang County in Jiangxi Province. Based on the GF-1 remote sensing satellite imagery and topographic features, Boundary extraction of mountain vegetation and plain vegetation. The experimental results show that the accuracy of vegetation boundary obtained in this study is as high as 99.47% and 96.28%. The accuracy is improved by nearly 25% and 23% compared to the vegetation boundary results obtained based on remote sensing images alone. The research proves that the accuracy of the demarcated boundary line of mountain plain is improved obviously when the high resolution remote sensing image is combined with the terrain factor, which can meet the need of interpretation of land cover types in high resolution remote sensing images.