湖南大学学报（自然科学版）2016，Vol.43Issue(4)：153-156,4.
加入空间纹理信息的遥感图像道路提取∗
Road Extraction from High-resolution Remote Sensing Imagery by Including Spatial Texture Feature
摘要
Abstract
The methods using spectral information alone are often ineffective due to the spectral similar-ity between roads and other artificial structures with impervious surface.This paper proposed a knowl-edge-based method for urban road extraction by including spatial texture information.The spatial texture feature was firstly extracted by the local Moran's I and the derived texture was added to the spectral bands of images for image segmentation.Then,features like brightness,standard deviation,rectangularity,as-pect ratio and area were selected to form the hypothesis and verification model.Finally,roads were extrac-ted by applying the models and were post-processed on the basis of mathematical morphology.This new method was evaluated by a 0.1m aerial image.The results show that the extraction accuracy reaches about 88% by using the proposed method,5% higher than the corresponding images without the spatial texture information.关键词
空间纹理信息/Moran指数/图像处理/假设验证/道路提取Key words
spatial texture information/local Moran’s I/image processing/hypothesis verification/road extraction分类
信息技术与安全科学引用本文复制引用
王建华,秦其明,高中灵,叶昕,孟晋杰..加入空间纹理信息的遥感图像道路提取∗[J].湖南大学学报（自然科学版）,2016,43(4):153-156,4.基金项目
国家高分辨率对地观测系统重大专项资助项目(31-Y30B09-9001-13/15) （31-Y30B09-9001-13/15）
国家科技支撑资助项目(2012BAC16B00) （2012BAC16B00）
