摘要
影响遥感图像分类效果的主要因素之一是影像的空间分辨率。本文将Quickbird多光谱影像与高分辨率全色影像相融合,在保留了光谱信息的同时提高了影像分辨率。然后对融合后的影像进行多尺度分割,并运用地物的光谱统计特征、形状、纹理、类间关系等因素进行相关信息的提取。采用面向对象的模糊分类方法对试验区影像进行分类,最后对结果进行了精度评价。试验表明这种方法具有较高的精度。
The spatial resolution of remote sensing images is one of the main factors which affect the effectiveness of classification. This paper integrates the Quickbird multispeetral images and high resolution panchromatic images in order to improve the resolution without loss of the spectral information. Multi - scale segmentation is then applied to the fused images and the information extraction is carried out according to the spectral statistics, shape, texture, class - related relationship and other factors. An object - oriented fuzzy classification method is finally utilized to classify the test images. The accuracy assessment shows that this method has obtained higher accuracy.
出处
《测绘与空间地理信息》
2010年第2期109-113,117,共6页
Geomatics & Spatial Information Technology
关键词
面向对象
融合
多尺度分割
模糊分类
Object - oriented
Merge
Multi - scale segmentation
Fuzzy classification
