采用高空间分辨率的航片与高光谱数据对城市进行遥感研究。利用高空间分辨率数据丰富的空间信息, 以及高光谱分辨率数据丰富的光谱信息, 提出了基于图像边缘检测和光谱分析的新型高光谱遥感图像分类方法, 对城市地物覆盖以图斑为单位进行分类。从而证明对复杂的城市环境进行遥感研究, 这种方法是有效的。

This paper studies the urban environment using remote sensing data with high spatial resolution airphotos and hyperspectral data. By using the ample spatial structural information contained in the high spatial resolution data and the fine spectral information contained in the hyperspectral data, a classification method based on edge detection and spectral analysis of the image was explored to classify the urban cover types on the per block bases. The result indicates that this method is effective for the study of whole urban environment.