基于TM影像自动提取昆明城区区域变化信息的应用

Discussion on automatic extraction of urban area's variation inforation TM image in Kunming

鉴于当前国内外在自动提取城区区域变化信息的研究状况,以昆明为例,构造了基于PCA变换的L-比值法,并结合阈值、掩膜等数字图像处方理法,以及数学形态学中的滤波运算等方法构造了一种适合我国西南地区地理特征和经济状况的,从TM影像中提取城市区域变化信息的RS处理模型,并取得了较好的实验效果.

Based on the current-state-of-art of extracting urban area＇s variation from remote sensing image, an L-Ratio method based on PCA is constructed taking Kunming as an example. As well, an RS processing model is presented combining such approaches for digital image processing as threshold, mask layer, and so on. At the same time, the corresponding techniques in mathematical morphology are used. This method is suitable for the geographical and economic situations in the South-West areas in China. And this method can extract the urban area＇s variation information from TM images. Experimental result shows the performance of this method.