摘要
结合细胞神经网络(CNN)中的最有边缘探测模板,对卫星影像进行锐化处理。研究得到一种卫星影像的锐化处理方法,利用该模板的鲁棒性,根据需要进行参数调整,得到更理想的图像效果,显示出边缘信息更清楚的卫星图像。
Combined with the optimal edge detector in cellular neural network ( CNN), the satellite images were sharpened. A kind of sharpening processing method was found in the study . Using the robustness of the template,the parameters were adjusted according to the demands to get the ideal image effect. The satelhte images with the clearer edge information was shown.
出处
《安徽农业科学》
CAS
北大核心
2010年第2期1049-1051,共3页
Journal of Anhui Agricultural Sciences
关键词
细胞神经网经
锐化
卫星影像
Cellular neural network
Sharpening
Satellite image