摘要
本文采用图像平滑、边缘跟踪、霍夫变换、逆霍夫变换等综合图像处理的技术，从卫星ＴＭ图像中提取线性体信息。在霍夫变换后的累加器阵列中采用局部最大值选择，逆霍夫变换后采用剖面分析等人－机交互处理方法，结合遥感地质学家的图像解泽经验，从而提高了线性体信息自动提取的精度。
This paper has demonstrated the possibility of developing algorithms to extract lineament information from Landsat TM imagery. We made Use of image smoothing. edge tracing. Hough transformation. inverse Hough transformation etc. in automated lineament detection. After Hough transformation, local maxima are selected in the accumulator array and after inverse Hough transformation, the profile analysis for line segment identification and human-machine interactive methods are used. Some of the rules used by geologists in their image interpretation are applied in automated lineament extraction from digital imagery for improving precision.
出处
《国土资源遥感》
CSCD
1993年第1期29-34,共6页
Remote Sensing for Land & Resources
基金
中国科学院长春净月潭遥感试验站基金资助项目
