摘要
对高分辨率遥感图像0.64～0.72μm波段灰度图进行直方图拉伸增强对比度,通过设立阈值分割图像得到二值图,再基于数学形态学消除噪声填充孔洞。然后,利用软件进行自动矢量化。实验证明,该方法能有效处理遥感图像,已达到提取高分辨率遥感图像中村级道路的目的。
This paper enhanced a grayscale of the remote sensing image with histogram stretching to enhance contrast,and get binary image by setting up valve worth. And eliminate noises,fill the holes based on mathematical morphology. Use Arcscan for vector quantization. This experiments show that this method can effectively extract processing remote sensing image in the purpose of getting the village-level road in high resolution remote sensing images.
出处
《测绘与空间地理信息》
2014年第5期114-115,119,共3页
Geomatics & Spatial Information Technology
关键词
数学形态学
矢量化
图像增强
高分辨率影像
mathematical morphology
vectorization
image enhancement
high resolution image
