Hierarchical image classification methodology aiming to obtain the maximum number of land cover classes through auto-classification procedures, 分级图像分类方法,目的在于通过自动分类程式获取最多的土地覆盖类型。
The details of all stages of the proposed image classification methodology were reviewed including image pre-processing ( e . g . acquisition of ground control points and geo-referencing, radiometric correction, image mosaicking, etc . ), data analysis, image interpretation, classification techniques and presentation of results . it is important to understand that using 我们对有关的图像分类方法的各个阶段之细节进行了论述,包括图像预处理(即:采集地面控制点、地理参照系、辐射校正、影像镶嵌等)、资料分析、图像解译、分类技术和演示结果等。