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研究多种遥感影像分类方法的不同之处并比较各自的优缺点,从而确立最佳的遥感解译借以方法和手段,以便及时、全面准确的掌握城市扩张等情况,为作出科学合理的规划提供依据。本研究以宝鸡市的两期影像为例(1988年的TM影像和2013年的ETM+影像),运用ERDAS IMAGINE先对两期影像进行校正、配准等工作,再分别对其进行监督分类和非监督分类方法进行图像解译,并用Map Info分别得出它们的城市扩张图。通过比较上述两种图像分类方法对于城市扩展范围界线的影响,得出适合城市扩张的图像解译方法。
To study the differences between various remote sensing image classification methods and to compare their respective advantages and disadvantages so as to establish the best remote sensing interpretation by means of methods and means so as to grasp the situation of urban expansion timely and comprehensively and accurately and provide scientific and rational planning in accordance with. In this study, we took two periods of Baoji as an example (TM images in 1988 and ETM images in 2013), and then used ERDAS IMAGINE to calibrate and register two phases of images first, Supervised classification method to interpret the image, and use Map Info to draw their urban expansion map respectively. By comparing the impact of the two image classification methods on the boundaries of urban expansion, the image interpretation method suitable for urban expansion is obtained.