摘要
针对高分辨率遥感图像中具有人字形屋脊的一类建筑物的屋脊线提取问题,设计了一种半自动屋脊线提取方案:利用Gram-Schmit算法融合QuichBird多光谱图像与全色图像,利用决策树分类将原始图像分为屋顶向阳面、屋顶背影面和阴影3类,利用Canny边缘检测算法检测屋顶向阳面的边缘,再利用基于线基元的线段提取算法检测出屋顶向阳面边缘图中的所有直线段,最后利用屋脊线两侧的上下文信息对屋脊线进一步识别。实例应用结果表明,检测的屋脊线正确率达到94%,此方法提取屋脊线可操作性强、精度高。
A semi-automated algorithm was proposed to extract building roof lines from high resolution remote sensing image. QuichBird hyperspectral images and panchromatic images were fused by GramSchmit fusion method, and the selected band was classified into sunny roof, shady roof and shadow by decision-tree. Then the sunny roof class was extracted to create its edge map by Canny edge detector. Next,an ex- traction method of straight line segments based on line primitives was used to retrieve all the straight lines. Finally, roof lines were purified by making use of the class information of the two sides of the roof lines. The results showed that the accuracy rate of detected roof line is up to 94% , the characteristics of high precision and easy for operation of the proposed method were demonstrated.
出处
《安徽农业科学》
CAS
2012年第9期5538-5540,5633,共4页
Journal of Anhui Agricultural Sciences
基金
中国博士后科学基金(20090450182)
国家自然科学基金(40801181
40901221)
关键词
高分辨率遥感图像
决策树
线基元
屋脊线
High resolution remote sensing image
Decision-tree
Line primitive
Roof line
