基于eCognition的土地利用遥感影像自动提取研究

Automatic extraction of land-use from remote sensing images based on eCognition

遥感监测是开展区域水土流失动态监测的重要手段。对同一地区不同时期遥感影像进行影像分类,对比分析两期分类结果可以实现对土地利用等水土流失影响因子的动态监测。传统方法通常采用人工目视勾绘法获得土地利用分类结果,耗时耗力且效率不高。以同一地区不同时期的遥感影像为对象,基于eCognition软件平台,采用多尺度分割和面向对象分类方法快速获取了影像分类结果。结果表明,该方法分类精度较高,能有效提高工作效率。

Remote sensing monitoring is an important means to carry out dynamic monitoring of regional soil and water loss. By classifying and comparing remote sensing images in different periods of the same region,the dynamic monitoring of soil and water loss factors such as land-use could be realized. In traditional method,the artificial visual drawing was usually used to obtain the land-use classification,which is time-consuming and inefficient. Taking the remote sensing images in different periods of the same region as the research object,and based on eCognition,a method using multi-scale segmentation and object oriented classification is introduced. Engineering practice has proved that this method can obtain image classification results quickly,and has higher accuracy and efficiency.