摘要
城市变化检测是遥感应用的重要领域。以长沙都市区为例,利用两期Landsat TM影像,改进了移动窗口法,提出了差分图像异常检测法。结果显示:(1)差分图像异常检测法有较高的检测精度。在随机选取的178个变化/非变化像元中,有157个被正确检测到,精度达88.2%;(2)2004—2009年间,长沙都市区城市变化像元共计116 101个,即该区有5.41%的自然景观转化为城市景观。园区经济的快速发展成为该区城市扩张的主要驱动力。
Urban change detection is an important field of remote sensing applications. This study presents a method for detecting urban change from remotely sensed data. We proposed the differential image anomaly detection method to improve the moving window method using the Landsat TM data. Changsha urban area was chosen as an example to illustrate the method. The results show that the differential image anomaly de- tection method has higher detection accuracy~ 157 out of 178（88.2%） randomly selected pixels were correct- ly detected. In Changsha urban area, 116 101（5.41%） pixels which was natural landscape turned into urban landscape during 2004--2009. Economic development of industrial areas became the main driving force of the urban change in the study area.
出处
《水土保持通报》
CSCD
北大核心
2012年第4期134-138,共5页
Bulletin of Soil and Water Conservation
基金
国家自然科学基金资助项目(41071057
40801025)
关键词
差分图像异常检测法
城市变化
长沙都市区
differencing image anomaly detection method
urban change
Changsha urban area
