小波变换在遥感图像上矿区空间定位方面的分析与应用——以鄂东南铁矿矿区为例

Analysis and Application of Mining Area Space Location in RS Image Based Wavelet Transform——Taking the Areas of Iron Ore in the Southeast of Hubei Province as an Example

随着社会的发展,人们对自然地物的影响越来越显著,大量地改变了地表的状况,在遥感图像上则表现为灰度值变化剧烈,其中的纹理信息发生改变。在频率域上说,人工改变的区域部分的高频成分比其他区域部分要丰富很多,小波变换能够有效地将其中的高频信息提取出来,用假彩色分割图将其中的异常值明显地表示出来。湖北大冶的铁山矿区分布着六大露天矿区,地表开挖范围广,影响程度大,以该地区为例,分析小波变换在遥感图像上矿区空间定位方面的应用。使用本文介绍的方法处理效果比较明显。矿区位置的确定还需要参考断层分布信息,这意味着使用小波变换进行处理的方法具有一定的局限性。

People＇s effects to nature become more and more remarkable with the development of society, which change the surface a lot. It is displayed that grey value changes greatly in remote sensing image and texture information is altered too. In the frequency domain, the content of high frequency in artificial altered the region is higher than that of nature surface. Wavelet transform can extract the high frequency information from the RS image effectively. Then abnormal value can be displayed with false color image segmentation obviously. Taking the areas of Iron Ore resource in Tieshan of Hubei Province as an example in this paper,where is distributed six opencast mine areas. The excavated areas are wide and with great impact on the surface. And the effect is remarkable with the method which this paper concerned. It is needed to reference fault distribution to confirm mining area positions. This means that the method based on wavelet transformation has certain limitations.